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ORCIDBIBM 2022: Las Vegas, NV, USA
- Donald A. Adjeroh, Qi Long, Xinghua Mindy Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda Mondal, Jin Liu:
IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, Las Vegas, NV, USA, December 6-8, 2022. IEEE 2022, ISBN 978-1-6654-6819-0 - Xiaoyi Guo, Yuqing Qian, Prayag Tiwari
, Quan Zou, Yijie Ding:
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning. 6-11 - Zhijian Huang, Rongtao Zheng, Lei Deng:
DeepFusionGO: Protein function prediction by fusing heterogeneous features through deep learning. 12-17 - Tong Liu, Zheng Wang:
ST-ChIP: Accurate prediction of spatiotemporal ChIP-seq data with recurrent neural networks. 18-25 - Jinsheng Shang, Qihong Jiao, Cheng Chen, Daming Zhu, Xuefeng Cui:
Pretraining Transformers for TCR-pMHC Binding Prediction. 26-31 - Jyotsna Talreja Wassan, Haiying Wang, Huiru Zheng:
A New Phylogeny-Driven Random Forest-Based Classification Approach for Functional Metagenomics. 32-37 - Guolun Zhong, Lei Deng:
inACP: An integrated approach to the prediction of anticancer peptides. 38-43 - Xiangfei Zhou, Zhenqi Shi, Yingfu Wu, Jin Zhao, Hao Wu:
scHiCSC: A Novel Single-Cell Hi-C Clustering Framework by Contact-Weight-Based Smoothing and Feature Fusion. 44-50 - Kyudam Choi, Yurim Lee, Cheongwon Kim:
GCL-GO: A novel sequence-based hierarchy-aware method for protein function prediction. 51-56 - Yangyue Fang, Chaojian Zhang, Yu Fu, Tao Xue:
Learning spatial structures and network correlations improves unknown protein-protein interaction prediction. 57-62 - Tiantian Li, Daming Zhu, Haitao Jiang, Haodi Feng, Xuefeng Cui:
Longest k-tuple Common Sub-Strings. 63-66 - Weipeng Lv, Changkun Jiang, Jianqiang Li:
MSE-CapsPPISP: Spatial Hierarchical Protein-Protein Interaction Sites Prediction Using Squeeze-and-Excitation Capsule Networks. 67-72 - Nazifa Ahmed Moumi, Connor L. Brown, Peter J. Vikesland, Amy Pruden, Liqing Zhang:
Protein-Protein Interaction Network Analysis Reveals Distinct Patterns of Antibiotic Resistance Genes. 73-76 - Hoai-Nhan Tran, Phuc-Xuan-Quynh Nguyen, Xiaoqing Peng, Jianxin Wang:
An integration of deep learning with feature fusion for protein-protein interaction prediction. 77-80 - Xiaoting Wang, Juan Wang, Haodong Bian, Maozu Guo:
Sub-Loc: predicting protein sub-mitochondrial localization based on sequence embedding. 81-85 - Zeyu Wang, Tao Lin, Xiaoli Yang, Yanchun Liang, Xiaohu Shi:
Protein Subcellular Localization Prediction by Combining ProtBert and BiGRU. 86-89 - Yingwen Zhao, Zhihao Yang, Yongkai Hong, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
Adaptive Multi-view Graph Convolutional Network for Gene Ontology Annotations of Proteins. 90-93 - Yang Li, Xue-Gang Hu, Pei-Pei Li, Lei Wang, Zhu-Hong You:
Predicting circRNA-disease associations using similarity assessing graph convolution from multi-source information networks. 94-101 - Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo:
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. 102-107 - Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang:
Multi-View Brain Network Analysis with Cross-View Missing Network Generation. 108-115 - Haojiang Tan, Jun Wang, Guoxian Yu, Wei Guo, Maozu Guo:
Phenotype Prediction by Heterogeneous Molecular Network Embedding. 116-121 - Song Wang, Xiao-Tai Huang, Kei Hang Katie Chan, Lin Gao:
IMRDriver: coding and non-coding cancer driver genes identification based on network propagation. 122-129 - Tao Wang, Hui Zhao, Yifu Xiao, Hanzi Yang, Xipeng Yin, Yongtian Wang, Bing Xiao, Xuequn Shang, Jiajie Peng:
Discovering eQTL Regulatory Patterns Through eQTLMotif. 130-135 - Nana Wei, Yijing Zhu, Yating Nie, Shiyu Fan, Yuanchen Sun, Xiaoqi Zheng:
Purification of tumor methylomes through residual decomposition. 136-141 - Hang Wei, Xiayue Fan, Shuai Wu:
iCircDA-ENR: identification of circRNA-disease associations based on ensemble network representation. 142-147 - Alexander Gerniers, Pierre Dupont:
MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data. 148-153 - Pei Li, Ying Xiao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network. 154-157 - Yajun Liu, Yulian Ding, Aimin Li, Rong Fei, Guo Xie, Fang-Xiang Wu:
Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism. 158-161 - Roland Madadjim, Haluk Dogan, Juan Cui:
Computational learning of small RNA regulation in pancreatic cancer progression. 162-167 - Lihong Peng, Liangliang Huang, Yuankang Lu, Guangyi Liu, Min Chen, Guosheng Han:
Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning. 168-173 - Bingbo Wang, Chao Han, Xiujuan Ma:
Network Connectivity Analysis of Coding and Noncoding RNAs in Cancer. 174-177 - Zehao Xiong, Xiangtao Chen, Jiawei Luo, Cong Shen, Zhongyuan Xu:
scSAGAN: A scRNA-seq data imputation method based on Semi-Supervised Learning and Probabilistic Latent Semantic Analysis. 178-181 - Fengqi Zhong, Yuansong Zeng, Yubao Liu, Yuedong Yang:
SCdenoise: a reference-based scRNA-seq denoising method using semi-supervised learning. 182-185 - Wenjian Zhou, Ji Lu, Xiwei Tang:
A Transformer-based Model for Plant miRNA-lncRNA Interaction Prediction. 186-189 - Lingzhi Zhu, Kai Zheng, Guihua Duan, Jianxin Wang:
Prediction of virus-receptor interactions based on multi-view learning and link prediction. 190-193 - Siqi Chen, Ruiqing Zheng, Luyi Tian, Fang-Xiang Wu, Min Li:
BayesImpute: a Bayesian imputation method for single-cell RNA-seq data. 194-199 - Jing Gao, Fa Zhang, Kai Hu, Xuefeng Cui:
Hexagonal Convolutional Neural Network for Spatial Transcriptomics Classification. 200-205 - Wei Lan, Jin Ye, Xun Sun, Xiaoshu Zhu, Qingfeng Chen, Yi Pan:
scIAC: clustering scATAC-seq data based on Student's t-distribution similarity imputation and denoising autoencoder. 206-211 - Fangting Li, Yuhai Zhao, Boxin Guan, Yuan Li:
A Distributed Evolutionary Framework for Large-scale SNP-SNP Interaction Detection. 212-219 - Yadong Liu, Zhongyu Liu, Tao Jiang, Tianyi Zang, Yadong Wang:
Comparison of the Nanopore and PacBio sequencing technologies for DNA 5-methylcytosine detection. 220-225 - Zixiang Pan, Yuansong Zeng, Yuefan Lin, Weijiang Yu, Haokun Zhang, Yuedong Yang:
A Meta-learning based Graph-Hierarchical Clustering Method for Single Cell RNA-Seq Data. 226-232 - Carlos Soto, Darshan W. Bryner, Audrey Dalgarno, Nicola Neretti, Anuj Srivastava:
TADBay: A Bayesian Construction of Topologically Associated Domains. 233-240 - Xinfeng Wang, Haoyang Zhang, Xuehao Xiu, Mengling Qi, Yuedong Yang, Huiying Zhao:
Genetic and phenotypic relationships between coronary atherosclerotic heart disease and electrocardiographic traits. 241-246 - Ziwei Xu, Ruiqing Zheng, Yuxuan Chen, Edwin Wang, Min Li:
A single cell potency inference method based on the local cell-specific network entropy. 247-252 - Jiaqian Yan, Jianing Xi, Zhenhua Yu:
A parametric model for clustering single-cell mutation data. 253-260 - Ohhyeon Kwon, Maree J. Webster, Sanghyeon Kim, Doheon Lee:
SNEP-DB: An integrated database to associate genomic and pathological aspects of psychiatric disorders. 261-265 - Jiancheng Li, Chongle Pan, Xuan Guo:
IDIA: An Integrative Signal Extractor for Data-Independent Acquisition Proteomics. 266-269 - Yue Liu, Junfeng Zhang, Shulin Wang, Wei Zhang, Xiangxiang Zeng, Chee Keong Kwoh:
A heterogeneous graph cross-omics attention model for single-cell representation learning. 270-275 - Zepeng Liu, Xiao-Tai Huang, Kei Hang Katie Chan, Lin Gao:
Predicting the functional effects of human non-coding variants based on stacking ensemble learning. 276-280 - Lihong Peng, Xianzhi He, Li Zhang, Xinhuai Peng, Yuankang Lu, Zejun Li, Xing Chen:
A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist. 281-286 - Shengze Wang, Shichao Feng, Chongle Pan, Xuan Guo:
FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics. 287-292 - Weiming Xiang, Yingbo Cui, Yaning Yang, Ang Zhang, Boya Ji, Shaoliang Peng:
MSVF: Multi-task Structure Variation Filter with Transfer Learning in High-throughput Sequencing. 293-296 - Shoujia Zhang, Wei Li, Weidong Xie, Linjie Wang:
Feature Selection for Microarray Data via Community Detection Fusing Multiple Gene Relation Networks Information. 297-302 - Yu Zhang, Chenchen Li, Haodi Feng, Daming Zhu:
DLmeta: a deep learning method for metagenomic identification. 303-308 - Jiamin Chen, Zhenpeng Wu, Jianliang Gao, Xiaohua Hu:
Glycan Immunogenicity Prediction with Efficient Automatic Graph Neural Network. 309-314 - Zhiyuan Chen, Xiaomin Fang, Zixu Hua, Yueyang Huang, Fan Wang, Hua Wu:
HelixMO: Sample-Efficient Molecular Optimization in Scene-Sensitive Latent Space. 315-321 - Xu Gong, Maotao Liu, Haichao Sun, Min Li, Qun Liu:
HS-DTI: Drug-target Interaction Prediction Based on Hierarchical Networks and Multi-order Sequence Effect. 322-327 - Linyuan Guo, Jianxin Wang:
ViTRMSE: a three-dimensional RMSE scoring method for protein-ligand docking models based on Vision Transformer. 328-333 - Peiying Li, Boheng Cao, Shikui Tu, Lei Xu:
RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection. 334-339 - Ziyan Wang, Chengzhi Hong, Xuan Liu, Zhankun Xiong, Feng Liu, Wen Zhang:
Predicting drug transcriptional response similarity using Signed Graph Convolutional Network. 340-345 - Han Wang, Hangxu Zhu, Wenhao Li, Ming Liu, Li Zhang, Dong Xu:
Predicting Compound-Protein Interaction by Deepening the Systemic Background via Molecular Network Feature Embedding. 346-353 - Zhengwei Wang, Yuxiao Wang, Xuan Zhang, Zhaoxu Meng, Zhenghe Yang, Wei Zhao, Xuefeng Cui:
Graph-based Reaction Classification by Contrasting between Precursors and Products. 354-359 - Jingxuan Wang, Zongzhao Qiu, Xuan Zhang, Zhenghe Yang, Wei Zhao, Xuefeng Cui:
Boosting Deep Learning-based Docking with Cross-attention and Centrality Embedding. 360-365 - Jinyong Wen, Yuhu Wang, Chunxia Zhang, Shiming Xiang, Chunhong Pan:
Discriminative Graph Representation Learning with Distributed Sampling. 366-373 - Xuan Zhang, Cheng Chen, Zhaoxu Meng, Zhenghe Yang, Haitao Jiang, Xuefeng Cui:
CoAtGIN: Marrying Convolution and Attention for Graph-based Molecule Property Prediction. 374-379 - Justin Jose, Ujjaini Alam, Divye Singh, Nidhi Jatana, Pooja Arora:
PandoraRL: DQN and Graph Convolution based ligand pose learning for SARS-COV1 Mprotease. 380-385 - Maotao Liu, Yifan Yang, Xu Gong, Li Liu, Qun Liu:
HierMRL: Hierarchical Structure-Aware Molecular Representation Learning for Property Prediction. 386-389 - Dongning Ma, Rahul Thapa, Xun Jiao:
MoleHD: Efficient Drug Discovery using Brain Inspired Hyperdimensional Computing. 390-393 - Yan Sun, Md. Mohaiminul Islam, Ehsan Zahedi, Mélaine Kuenemann, Hassan Chouaib, Pingzhao Hu:
Molecular Property Prediction based on Bimodal Supervised Contrastive Learning. 394-397 - Norah Saeed Awn, Yiming Li, Baoying Zhao, Min Zeng, Min Li:
LDAGSO: Predicting 1ncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques. 398-403 - Peng Chen, Jian Wang, Hongfei Lin, Yichen Wang, Di Zhao, Yijia Zhang:
Syntactic Type-aware Graph Attention Network for Drug-drug Interactions and their Adverse Effects Extraction. 404-409 - Mingliang Dou, Han Han, Genlang Chen, Fei Guo, Jijun Tang:
BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text. 410-415 - Junwen Duan, Huai Guo, Min Zeng, Jianxin Wang:
ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition. 416-421 - Haiyan Gong, Yi Yang, Xiaotong Zhang, Fuqiang Ma, Minghong Li, Zhengyuan Chen, Sichen Zhang, Yang Chen:
NeRV-3D-DC: A Nonlinear Dimensionality Reduction Visualization Method for 3D Chromosome Structure Reconstruction with High Resolution Hi-C Data. 422-429 - Yaowen Gu, Si Zheng, Bowen Zhang, Hongyu Kang, Jiao Li:
MilGNet: A Multi-instance Learning-based Heterogeneous Graph Network for Drug repositioning. 430-437 - Yuyang Huang, Shiwen Dong, Dandan Wang, Chunling Wan, Yang Yang:
Learning Time-Series Images of Niacin Skin-Flushing Test for the Diagnosis of Schizophrenia and Affective Disorder. 438-443 - Sidharth S. Jain, Megan E. Barefoot, Rency S. Varghese, Habtom W. Ressom:
Cell-type Deconvolution and Age Estimation Using DNA Methylation Reveals NK Cell Deficiency in the Hepatocellular Carcinoma Microenvironment. 444-449 - Yuxin Kang, Hansheng Li, Xuan Zhao, Xiaoshuang Shi, Feihong Liu, Qingguo Yan, Ying Guo, Lei Cui, Jun Feng, Lin Yang:
Invariant Content Synergistic Learning for Domain Generalization on Medical Image Segmentation. 450-456 - Seokwoo Lee, Myounghoon Cho, Wook Lee, Byungkyu Park, Kyungsook Han:
Predicting Lymph Node Metastasis and Distant Metastasis using Differential Correlations of miRNAs and Their Target RNAs in Cancer. 457-463 - Mei Li, Sihan Xu, Xiangrui Cai, Zhong Zhang, Hua Ji:
Contrastive Meta-Learning for Drug-Target Binding Affinity Prediction. 464-470 - Xingyi Li, Zhelin Zhao, Ju Xiang, Jialu Hu, Xuequn Shang:
A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network. 471-476 - Xingwang Li, Yijia Zhang, Jian Wang, Mingyu Lu, Hongfei Lin:
Knowledge-Enhanced Dual Graph Neural Network for Robust Medicine Recommendation. 477-482 - Xue Li, Yang Yang, Mingchen Ye, Yi Guan, Xuehui Yu, Jingchi Jiang:
Unified Fine-Grained Biomedical Entity Recognition as a Combination of Boundary Detection and Sequence Generation. 483-490 - Hai Liu, Hong-Dong Li:
KL-RF: Predicting disease-gene associations with model fusion. 491-496 - Yuting Lu, Yan Wang, Nan Sheng, Hao Wang, Yuan Fu, Yuan Tian:
RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker. 497-502 - Ying Lv, Xiaodong Yue, Zhikang Xu, Yufei Chen, Zihao Li:
Selecting Reliable Instances from ImageNet for Medical Image Domain Adaptation. 503-508 - Qin Ma, Lin Zeng, Shikui Tu, Lei Xu:
Kernel Mean Matching with Mahalanobis Distance for Causal Inference of Time-to-event Outcome. 509-514 - Lihong Peng, Ruya Yuan, Chendi Han, Jingwei Tan, Zhao Wang, Min Chen, Xing Chen:
Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data. 515-522 - Wei Peng, Piaofang Yu, Wei Dai, Xiaodong Fu, Li Liu, Yi Pan:
Identification of personalized driver genes for individuals using graph convolution network. 523-528 - Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai:
Patient Similarity Learning with Selective Forgetting. 529-534 - Yuening Qu, Chengxin He, Jin Yin, Zhenjiang Zhao, Jingyu Chen, Lei Duan:
MOVE: Integrating Multi-source Information for Predicting DTI via Cross-view Contrastive Learning. 535-540 - Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen:
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. 541-548 - Junliang Shang, Yijun Gu, Yan Sun, Feng Li, Jin-Xin Liu, Boxin Guan:
Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection. 549-554 - Jia-Hao Song, Cui-Xiang Lin, Hong-Dong Li:
An Alzheimer's disease gene prediction method based on ensemble of genome-wide association study summary statistics. 555-560 - Xian Tan, Yiping Sun, Shijie Fan, Yanhe Wang, Jingbo Zhang, Pingping Sun, Zhiqiang Ma:
DSHP: A Novel Sequence Based Deep Learning Prediction Model for HPV Integration Site. 561-566 - Jianfeng Wang, Shuokang Huang, Huifang Du, Yu Qin, Haofen Wang, Wenqiang Zhang:
MHKD-MVQA: Multimodal Hierarchical Knowledge Distillation for Medical Visual Question Answering. 567-574 - Lianzhi Wang, Cheng Liang, Wenjiao Dong, Wenlan Chen:
Multi-view Unsupervised Feature Selection via Consensus Guided Low-rank Tensor Learning. 575-580 - Han Wang, Jianwei Niu, Xuefeng Liu, Yong Wang:
Embracing Uniqueness: Generating Radiology Reports via a Transformer with Graph-based Distinctive Attention. 581-588 - Zixuan Wang, Yongqing Zhang, Yun Yu, Maocheng Wang, Yuhang Liu, Quan Zou:
Single-cell TF-DNA binding prediction and analysis based on transfer learning framework. 589-594 - Haiyan Wang, Jiazhou Chen, Bin Zhang, Hongmin Cai:
Accurate Multi-view Clustering by Exploiting Within-view High-order Affinities through Tensor Self-representation. 595-600 - Hong Wang, Xiaoqi Wang, Wenjuan Liu, Xiaolan Xie, Shaoliang Peng:
deepDGA: Biomedical Heterogeneous Network-based Deep Learning Framework for Disease-Gene Association Predictions. 601-606 - Wen-Yu Xi, Qianqian Ren, Jin-Xing Liu, Ying-Lian Gao:
HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. 607-612 - Cheng Yan, Guihua Duan, Fang-Xiang Wu:
EMDS: predicting essential miRNAs based on deep learning and sequences. 613-618 - Lifeng Yan, Zekun Yin, Hao Zhang, Zhan Zhao, Mingkai Wang, André Müller, Robin Kobus, Yanjie Wei, Beifang Niu, Bertil Schmidt, Weiguo Liu:
RabbitQCPlus: More Efficient Quality Control for Sequencing Data. 619-626 - Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He:
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. 627-632 - Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. 633-638 - Jun Yu, Benjamin Zalatan, Yong Chen, Li Shen, Lifang He:
Tensor-Based Multi-Modal Multi-Target Regression for Alzheimer's Disease Prediction. 639-646 - Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He:
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. 647-652 - Xiaoyu Zhang, Yike Guo:
OmiTrans: Generative Adversarial Networks Based Omics-to-omics Translation Framework. 653-659 - Jin Zhang, Muheng Shang, Qiang Xie, Minjianan Zhang, Duo Xi, Lei Guo, Junwei Han, Lei Du:
A Sparse Multi-task Contrastive and Discriminative Learning Method with Feature Selection for Brain Imaging Genetics. 660-665 - Yan Zhang, Jiru Li, Zhihao Yang, Hongfei Lin, Jian Wang:
Location-Guided Token Pair Tagger for Joint Biomedical Entity and Relation Extraction. 666-671 - Leilei Zhang, Junfei Liu:
Intent-aware Prompt Learning for Medical Question Summarization. 672-679 - Yongqing Zhang, Yuhang Liu, Zixuan Wang, Maocheng Wang, Shuwen Xiong, Quan Zou:
Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning. 680-685 - Haochen Zhao, Guihua Duan, Botu Yang, Suning Li, Jianxin Wang:
Predicting of microbe-drug associations via a pre-completion-based label propagation algorithm. 686-691 - Cuicui Zhao, Jun Liu, Xinqi Gong:
An adaptive variational model for multireference alignment with mixed noise. 692-699 - HaoRan Zheng, Qiu Xiao, Jiancheng Zhong:
Predicting miRNA-disease associations via multi-channel graph convolutional networks. 700-705 - Jiancheng Zhong, Jiedong Kang, Xingran Song, Qiu Xiao, Yi Pan:
Prediction of miRNA and Disease Association based on Graph Convolution Network using Latent Feature Vector by Positive Samples. 706-711 - Peixuan Zhou, Yijia Zhang, Fei Chen, Mingyu Lu, Wen Qu, Hongfei Lin, Xiaoxia Liu:
Contrastive Self-Supervised Representation Learning for Protein Complexes Identification. 712-717 - Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui:
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. 718-725 - Qiong Cheng:
Identifying Temporal Biomarkers of Disease Development through a Thermodynamics-enriched Ensemble Framework. 726-729 - Yuzhuo Dai, Shilong Zhang, Yue Tang, Wolfgang Mayer, Jixiang Li, Hongyu Li, Zhonghao Zhang, Haiqin Li, Ying Wang, Wen Zhang, Qin Jiang, Hong-Yu Zhang, Bing Li, Zaiwen Feng:
GMFQP: An Ontology-mediated Gut Microbiota Federated Query Platform. 730-735 - Arghya Kusum Das, M. Oguzhan Külekci, Sharma V. Thankachan:
Memory-Efficient FM-Index Construction for Reference Genomes. 736-739 - Zheng Deng, Jingli Wu, Xiaorong Chen, Gaoshi Li:
Identifying driver genes in cancer based on Pareto optimality consensus. 740-743 - Zongxin Du, Xiaohong Liu, Jie Xu, Guoshun Nan, Guangyu Wang:
Semantic Reasoning with NLI for Assertion Detection in Medical Text. 744-748 - Itunuoluwa Isewon, Emmanuel Alagbe, Rotimi Solomon, Jelili Oyelade:
A Multi-Omics Classifier For Prediction Of Androgen Deprivation Treatment Response In Prostate Cancer Patients. 749-752 - Hua Jiang, Qiuxia Shi, Siying Liu, Jiuying Zhang, Qinglin Zhao, Bin Hu:
Gaussian Decay Function-based Improved Moment Matching for Ocular Artifacts Removal. 753-756 - Dylan Lebatteux, Hugo Soudeyns, Isabelle Boucoiran, Soren Gantt, Abdoulaye Baniré Diallo:
KANALYZER: a method to identify variations of discriminative k-mers in genomic sequences. 757-762 - Qing Li, Guanzhong Wu, Tao You:
BioELM: Integrating Biomedical Knowledge into Language Model with Entity-Linking. 763-766 - Yang Li, Beiji Zou, Jing Wu, Yulan Dai, Harrison X. Bai, Zhicheng Jiao:
A dynamic multi-modal fusion network for ovarian tumor differentiation. 767-772 - Lishuang Li, Shixian Jiang, Beibei Zhang:
A Knowledge-Enhanced Model with Dual-Channel Encoder for Joint Entity and Relation Extraction from Biomedical Literature. 773-776 - Qingyao Li, Hui Xu, Hui Wang, Buzhou Tang:
S3 AAL: Support Set Selection based on Adversarial Active Learning for Medical Few-Shot Relation Extraction. 777-780 - Kristina Mach, Shuwen Wei, Ji Woong Kim, Alejandro Martin-Gomez, Peiyao Zhang, Jin U. Kang, M. Ali Nasseri, Peter Gehlbach, Nassir Navab, Iulian Iordachita:
OCT-guided Robotic Subretinal Needle Injections: A Deep Learning-Based Registration Approach. 781-786 - Jinzhong Ning, Jiru Li, Zhihao Yang, Yuanyuan Sun, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
BioNER-CFEM: Biomedical Named Entity Recognition Based on Character Feature Enhancement with Multimodal Method. 787-790 - Hongyan Quan, Jiashun Dong, Changqing Zhan, Qiao Wang, Yi He, Xiaoxiao Qian:
Lightweight CNN based on Non-rigid SFM for 3D Reconstruction of Medical Images. 791-794 - Satyaki Roy, Ahmad F. Al Musawi, Preetam Ghosh:
Cost-effective Vaccine Provisioning using Coalitional Game Theory. 795-798 - Kaluad Sanyour, Wooyoung Kim:
Machine Learning Algorithms in Gene Editing. 799-802 - Paola Stolfi, Davide Vergni, Rik Oldenkamp, Constance Schultsz, Emiliano Mancini, Filippo Castiglione:
An agent-based multi-level model to study the spread of antimicrobial-resistant gonorrhoea. 803-808 - Yanfeng Sun, Han Kang, Huan Zhang, Yu Wang, Hong Shen, Pengxin Yu:
A Global-Local Cascade Network for Multi-bone Segmentation in Chest CT. 809-812 - Liang Sun, Yunling Zhang, Hongwei Ge, Tang Liu, Yiping Zhao, Jian Sun, Juan Tian, Xin Qi:
TSINet: Efficient Breast Lesion Segmentation with Three-Stream Interactive Neural Network on Magnetic Resonance Images. 813-816 - ZhenDong Tan, Yan Yang, Bo Li, Beilei Wang, Gang Jin, Chengcai Chen, Liang He:
Prompt Enhanced Generative MRC Framework for Pancreatic Cancer NER. 817-820 - Rama Krishna Thelagathoti, Hesham H. Ali:
A Data-Driven Approach for the Analysis of Behavioral Disorders With a Focus on Classification and Severity Estimation. 821-825 - Cen Wan:
Positive Feature Values Prioritized Hierarchical Dependency Constrained Averaged One-dependence Estimators for Gene Ontology Feature Spaces. 826-829 - Xubin Wang, Weijia Jia:
A Feature Weighting Particle Swarm Optimization Method to Identify Biomarker Genes. 830-834 - Jinhong Wang, Jingwen Wang, Tingting Chen, Wenhao Zheng, Zhe Xu, Xingdi Wu, Wen Xu, Haochao Ying, Danny Z. Chen, Jian Wu:
CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction. 835-839 - Haodong Wang, Han Sun, Yue Wang, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen:
Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model. 840-843 - Xuan Wang, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han:
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. 844-847 - Xin Wei, Huaiwei Cong, Zheng Zhang, Junran Peng, Guoping Chen, Jinpeng Li:
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning. 848-853 - Zewei Wu, Wei Ke, Cui Wang, Wei Zhang, Zhang Xiong:
Online 3D Reconstruction of Zebrafish Behavioral Trajectories within A Holistic Perspective. 854-859 - Yuting Xing, Hangting Ye, Xiaoyu Zhang, Wei Cao, Shun Zheng, Jiang Bian, Yike Guo:
A continuous glucose monitoring measurements forecasting approach via sporadic blood glucose monitoring. 860-863 - Xiaotian Xiong, Yongcheng Zhang, Xiaomei Wei, Fangfang Li, Yawei Guo, Xin Yan, Yang Chong:
Drug Repurposing Therapeutics Prediction using Hierarchical Graph Neural Network. 864-867 - Yu Xu, Chonghao Wang, Zeming Li, Yunpeng Cai, Ouzhou Young, Aiping Lyu, Lu Zhang:
A machine learning model for disease risk prediction by integrating genetic and non-genetic factors. 868-871 - Rui Yao, Duo Tan, Ye Yang, Yongmei Li, Jiayang Liu, Jiajing Wu, Shanxiong Chen, Jingjie Wang:
MBH-Net: Multi-branch Hybrid Network with Auxiliary Attention Guidance for Large Vessel Occlusion Detection. 872-876 - Mehrdad Zandigohar, Yang Dai:
Information retrieval in single cell chromatin analysis using TF-IDF transformation methods. 877-882 - Na Zeng, Jiansheng Fang, Xingyue Wang, Xiaoxi Lu, Jingqi Huang, Hanpei Miao, Jiang Liu:
Factoring 3D Convolutions for Medical Images by Depth-wise Dependencies-induced Adaptive Attention. 883-886 - MingYa Zhang, Na Zhao, Yue Yu, Yuqian Zhuang, QuanQiu Zhu, TianYuan Huang, XianPing Tao:
A Simple Yet Effective Hand Pose Tremor Classification Algorithm To Diagnosis Parkinsons Disease. 887-890 - Xuan Zhao, Yuxin Kang, Hansheng Li, Jiayu Luo, Lei Cui, Jun Feng, Lin Yang:
A Random Feature Augmentation for Domain Generalization in Medical Image Segmentation. 891-896 - Yi Zhong, Mengqiu Xu, Ming Wu:
Dive into Plane: Lightweight & Modular Linear Projection Cross-dimensional Network for Retinal Vessel Segmentation in OCTA Images. 897-901 - Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang:
Attention-based Memory Fusion Network for Clinical Outcome Prediction using Electronic Medical Records. 902-907 - Borzou Alipourfard, Jean Gao:
Causal Discovery in Biological Data Using Directed Topological Overlap Matrix. 908-915 - Tian Bai, Yingfang Zhang, Yuzhao Wang, Yanguo Qin, Fa Zhang:
Multi-site MRI classification using Weighted federated learning based on Mixture of Experts domain adaptation. 916-921 - Hongmin Cai, Weiting Yi, Yucheng Li, Wenxiong Liao, Jiangning Song:
A Regional Multiple Instance Learning Network for Whole Slide Image Segmentation. 922-928 - Kai Chen, Yu Liu, Xuqi Wang, Shanwen Zhang, Chuan Zhang:
MFCNet: Multi-Feature Fusion Neural Network for Thoracic Disease Classification. 929-935 - Yuqi Chen, Juan Liu, Peng Jiang, Lang Wang, Baochuan Pang, Dehua Cao:
Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. 936-941 - Rui Chen, Xiangfeng Wang, Bo Jin, Jiaqi Tu, Fengping Zhu, Yuxin Li:
CLD-Net: Complement Local Detail For Medical Small-Object Segmentation. 942-947 - Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma:
AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. 948-953 - Hao Gao, Runzhi Li, Jing Wang, Hongling Zhao, Siyu Yan, Lihong Ma:
Research on Bidirectional Recurrent Imputation of Multivariate Time Series for Clinical Outcomes Prediction. 954-960 - Abinitha Gourabathina, Zhiyu Wan, J. Thomas Brown, Chao Yan, Bradley A. Malin:
Privacy-Preserving Publishing of Individual-Level Pandemic Data Based on a Game Theoretic Model. 961-968 - Yu Guo, Yue Chen, Yuanyan Xie, Xiaojuan Ban, Mohammad S. Obaidat:
An Offline Assistance Tool for Visually Impaired People Based on Image Captioning. 969-976 - Xutao Guo, Shang Lu, Yanwu Yang, Pengcheng Shi, Chenfei Ye, Yang Xiang, Ting Ma:
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation. 977-984 - Junlin Hou, Jilan Xu, Fan Xiao, Rui-Wei Zhao, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue, Rui Feng:
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images. 985-990 - Wanwan Huang, Han Zhang, Zeyuan Li, Yanbin Yin:
Mutual Information Estimation-Based Disentangled Representation Network for Medical Image Fusion. 991-998 - Wenwei Huang, Chunhong Cao, Sixia Hong, Xieping Gao:
ISTA-based Adaptive Sparse Sampling Network for Compressive Sensing MRI Reconstruction. 999-1004 - Guanjie Huang, Ye Yuan, Guohong Cao, Fenglong Ma:
AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data. 1005-1012 - Kuan Huang, Yifei Cheng, Qiang Gao, Bing Zhang:
Weakly Unpaired Image Translation from Hematoxylin and Eosin Staining Image to Immunohistochemistry Staining Image. 1013-1019 - Zhipeng Huang, Kevin S. Xu:
A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation. 1020-1027 - Haohui Jia, Ziwei Yang, Pei Gao, Man Wu, Chen Li, Yirong Kan, Renyuan Zhang:
Automatic Sleep Staging via Frequency-Wise Spiking Neural Networks. 1028-1033 - Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li:
Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. 1034-1039 - Xinyu Li, Jianhong Cheng, Jin Liu, Hulin Kuang, Chengchao Shen, Pei Yang, Jianxin Wang:
MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status. 1040-1045 - Ruobing Li, Jian Wang, Hongfei Lin, Yuan Lin, Huiyi Lu, Zhihao Yang:
Patient Condition Change Network for Safe Medication Recommendation. 1046-1051 - Tao Li, Yu Zhou, Chenqi Shi, Pengpeng Chen:
Combating Interference for Robust and Accurate Heart Rate Variability Monitoring via Millimeter-Wave Radar. 1052-1057 - Wei Li, Huihua Yang:
Collaborative Transformer-CNN Learning for Semi-supervised Medical Image Segmentation. 1058-1065 - Shuo Li, Hongjia Li, Chi Zhang, Fa Zhang, Xiaohua Wan:
A Segmentation-aware Synergy Network for Single Particle Recognition in Cryo-EM. 1066-1071 - Jin Liu, Hao Du, Qian Bi, Haiyan Liao, Yi Pan:
MEST: Multi-plane Embedding and Spatial-temporal Transformer for Parkinson's disease diagnosis. 1072-1077 - Yuxi Liu, Shaowen Qin, Zhenhao Zhang, Wei Shao:
Compound Density Networks for Risk Prediction using Electronic Health Records. 1078-1085 - Lucas Jing Liu, Victor Ortiz-Soriano, Javier A. Neyra, Jin Chen:
KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction. 1086-1091 - Tian-Jian Luo:
Dual regularized feature extraction and adaptation for cross-subject motor imagery EEG classification. 1092-1099 - Jinkai Lv, Quanshui Fu, Zhiwang Zhang, Yuqiang Hu, Lin Lv, Guoqing Yang, Jinpeng Li, Yi Zhao:
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image. 1100-1107 - Juanyun Mai, Minghao Wang, Jiayin Zheng, Yanbo Shao, Zhaoqi Diao, Xinliang Fu, Yulong Chen, Jianyu Xiao, Jian You, Airu Yin, Yang Yang, Xiangcheng Qiu, Jinsheng Tao, Bo Wang, Hua Ji:
MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Lung Nodule Detection. 1108-1114 - Chengwei Pan, Baolian Qi, Gangming Zhao, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li:
Deep 3D Vessel Segmentation based on Cross Transformer Network. 1115-1120 - Liangrui Pan, Lian Wang, Zhichao Feng, Zhujun Xu, Liwen Xu, Shaoliang Peng:
MGTUNet: An new UNet for colon nuclei instance segmentation and quantification. 1121-1125 - Tao Peng, Yiyun Wu, Jing Zhao, Bo Zhang, Jin Wang, Jing Cai:
Explainability-guided Mathematical Model-Based Segmentation of Transrectal Ultrasound Images for Prostate Brachytherapy. 1126-1131 - Dafei Qiu, Jiajin Yi, Jialin Peng:
WDA-Net: Weakly-Supervised Domain Adaptive Segmentation of Electron Microscopy. 1132-1137 - Zhimin Ren, Yuheng Qiao, Yuping Yuan, You Zhou, Yanchun Liang, Xiaohu Shi:
Time and Time-Frequency Features Integrated CNN Model for Heart Sound Signals Detection. 1138-1143 - Yihui Ren, Wen Jiang, Ying Liu:
A Complex-Valued Dual-Domain Dilated Convolution Neural Network for Brain MRI Reconstruction. 1144-1149 - Jiacheng Ruan, Suncheng Xiang, Mingye Xie, Ting Liu, Yuzhuo Fu:
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation. 1150-1156 - Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer:
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. 1157-1163 - Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Deep Learning Based Parametrization of Diffeomorphic Image Registration for the Application of Cardiac Image Segmentation. 1164-1169 - Dongfang Shen, Ming Wu, Song Zheng, Jianhui Chen, Yijiang Chen, Yinran Chen, Xiongbiao Luo:
Unsupervised Domain Adaptation with Dual U-DenseTransformer Generation. 1170-1177 - Xiaolin Song, Yuehan Su, Lanju Kong, Lizhen Cui, Wei Guo, Qingzhong Li:
A high-concurrency blockchain model for large-scale medical cohort data storage and sharing. 1178-1184 - Wan Su, Fan Wang, Zhongyi Han, Yilong Yin:
Transferable Discriminative Learning for Medical Open-Set Domain Adaptation: Application to Pneumonia Classification. 1185-1192 - Siqi Sun, Wei Ji, Liangfeng Tang, Xiaobo Zhang, Yuejie Zhang, Rui Feng:
An Interpretable Causal Approach for Bronchopulmonary Dysplasia Prediction. 1193-1200 - Duo Tan, Jingjie Wang, Rui Yao, Jiayang Liu, Jiajing Wu, Shiyu Zhu, Ye Yang, Shanxiong Chen, Yongmei Li:
CCA4CTA: A Hybrid Attention Mechanism based Convolutional Network for Analysing Collateral Circulation via Multi-phase Cranial CTA. 1201-1206 - Guihua Tao, Haojiang Li, Dandan Lu, Ziqin Ling, Lizhi Liu, Hongmin Cai:
Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma. 1207-1212 - Haojie Tao, Keming Mao, Yuhai Zhao:
DBT-UNETR: Double Branch Transformer with Cross Fusion for 3D Medical Image Segmentation. 1213-1218 - Yao Tong, Yongli Wang, Qibin Zhang, Zhenxiang Zhang, Gang Chen:
A Reliability-constrained Association Rule Mining Method for Explaining Machine Learning Predictions on Continuity of Asthma Care. 1219-1226 - Tianyu Wang, Wenming Yang, Jie Chen, Yonghong Tian, Dong-Qing Wei:
ConformerDTI: Local Features Coupling Global Representations for Drug-Target Interaction Prediction. 1227-1234 - Xingyue Wang, Jiansheng Fang, Na Zeng, Jingqi Huang, Hanpei Miao, William Robert Kwapong, Ziyi Zhang, Shuting Zhang, Jiang Liu:
Reassembling Consistent-Complementary Constraints in Triplet Network for Multi-view Learning of Medical Images. 1235-1240 - Peng Wang, Chuanqi Han, Fang Yu, Ye Zheng, Xi Huang, Li Cui:
Rec-AUNet: Attentive UNet for Reconstruction of ECG from BCG. 1241-1248 - Xinfeng Wang, Mengling Qi, Chengzhi Dong, Haoyang Zhang, Yuedong Yang, Huiying Zhao:
Accurately Identifying Coronary Atherosclerotic Heart Disease through Merged Beats of Electrocardiogram. 1249-1254 - Zexuan Wang, Wenxi Yang, Katharine Ryan, Sumita Garai, Benjamin M. Auerbach, Li Shen:
Using Optimal Transport to Improve Spherical Harmonic Quantification of Complex Biological Shapes. 1255-1261 - Xuyun Wen, Qumei Cao, Daoqiang Zhang:
A Multi-Scale Multi-Hop Graph Convolution Network for Predicting Fluid Intelligence via Functional Connectivity. 1262-1267 - Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Jin-Xing Liu:
Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression. 1268-1273 - Tao Wu, Yunning Zhong, Yujie Fan, Xiangzeng Kong, Lifei Chen:
Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion. 1274-1280 - Bo Wu, Xun Liang, Xiangping Zheng, Jun Wang, Xiaoping Zhou:
Reinforced Sample Selection for Graph Neural Networks Transfer Learning. 1281-1288 - Yutang Xia, Shengfang Zhai, Qinting Wang, Huiting Hou, Zhonghai Wu, Qingni Shen:
Automated Extraction of ABAC Policies from Natural-Language Documents in Healthcare Systems. 1289-1296 - Yefan Xiao, Zhihao Chen, Liang Wan, Lequan Yu, Lei Zhu:
ICBNet: Iterative Context-Boundary Feedback Network for Polyp Segmentation. 1297-1304 - Manna Xiao, Hulin Kuang, Jin Liu, Yan Zhang, Yizhen Xiang, Jianxin Wang:
Integrating Multi-scale Feature Representation and Ensemble Learning for Schizophrenia Diagnosis. 1305-1310 - Yuzhang Xie, Guoshuai Niu, Qian Da, Wentao Dai, Yang Yang:
Survival Prediction for Gastric Cancer via Multimodal Learning of Whole Slide Images and Gene Expression. 1311-1316 - Ziheng Xu, Dehui Qiu, Senlin Lin, Xinyue Zhang, Sheng Shi, Shengtao Zhu, Fa Zhang, Xiaohua Wan:
Temporal Correlation Network for Video Polyp Segmentation. 1317-1322 - Frederick H. Xu, Sumita Garai, Duy Duong-Tran, Andrew J. Saykin, Yize Zhao, Li Shen:
Consistency of Graph Theoretical Measurements of Alzheimer's Disease Fiber Density Connectomes Across Multiple Parcellation Scales. 1323-1328 - Liying Yang, Qingyang Zhang, Si Chao, Dunhui Liu, Xiguo Yuan:
Greedy-mRMR: An emotion recognition algorithm based on EEG using greedy algorithm. 1329-1336 - Gang Yang, Yunfeng Du, Yajie Yang, Jianchun Zhao, Dayong Ding, Jingjing Xu, Gangwei Cheng:
Optic Disc Hemorrhage Detection via A Novel Position-Guided Attention Network with Small Samples on Fundus Images. 1337-1342 - Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Ting Ma:
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification. 1343-1349 - Ziwei Yang, Lingwei Zhu, Chen Li, Zheng Chen, Naoki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya:
Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping. 1350-1355 - Runtian Yuan, Jilan Xu, Xiaotong Li, Yuejie Zhang, Rui Feng, Xiaobo Zhang, Tao Zhang, Shang Gao:
MedSeq: Semantic Segmentation for Medical Image Sequences. 1356-1361 - Petr Zelina, Jana Halámková, Vít Novácek:
Unsupervised extraction, labelling and clustering of segments from clinical notes. 1362-1368 - Lin Zeng, Haoran Ma, Long Xiang, Shikui Tu, Ying Wang, Liebin Zhao, Lei Xu:
VentSR: A Self-Rectifying Deep Learning Method for Extubation Readiness Prediction. 1369-1374 - Jiayi Zhang, Xiaoshan Chen, Zhongxi Qiu, Mingming Yang, Yan Hu, Jiang Liu:
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion Module. 1375-1380 - Nanxing Zhang, Shiqiang Ma, Xuejian Li, Jiahui Zhang, Jijun Tang, Fei Guo:
Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation. 1381-1386 - Chenyu Zhang, Pujan Joshi, Honglin Wang, Seung-Hyun Hong, Riqiang Yan, Dong-Guk Shin:
Pola Viz Reveals Microglia Polarization at Single Cell Level in Alzheimer's Disease. 1387-1392 - Chen Zhao, Tian Bai, Tongjia Chu, Feng Wei, Fa Zhang:
Method for Preoperative Prediction of Microvascular Invasion of Hepatocellular Carcinoma. 1393-1398 - Xiongjun Zhao, Xiang Wang, Fenglei Yu, Jiandong Shang, Shaoliang Peng:
UniMed: Multimodal Multitask Learning for Medical Predictions. 1399-1404 - Rongchang Zhao, Yufeng Wang:
Dual Gradient Alignment for Unsupervised Domain Adaptation on Optic Disc and Cup Segmentation. 1405-1410 - Xiongjun Zhao, Zhengyu Liu, Lin Han, Shaoliang Peng:
ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network. 1411-1416 - Ying Zheng, Rui Zhang:
A Novel Drug-Target Interaction Predication Model Via Singular Value Decomposition and Collaborative Filtering. 1417-1422 - Yuting Zhong, Bowei Yan, KunHong Liu, Yong Xu, Song He, Xiaochen Bo:
A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction. 1423-1428 - Xiaogen Zhou, Zhiqiang Li, Tong Tong:
DTSC-Net: Semi-supervised 3D Biomedical Image Segmentation through Dual-Teacher Simplified Consistency. 1429-1434 - Kai Zhou, Markus Schinle, Sascha Weimar, Marius Gerdes, Simon Stock, Wilhelm Stork:
End-to-End Deep Learning for Stress Recognition Using Remote Photoplethysmography. 1435-1442 - Carlos Arias-Alcaide, Cristina Soguero-Ruíz, Paloma Santos-Alvarez, José Felipe Varona Arche, Inmaculada Mora-Jiménez:
Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps. 1443-1450 - Chenhao Bao, Zexuan Hao, Weibei Dou:
Automatic Removal of Scalp EEG Artifacts Using an Interpretable Hybrid Deep Learning Method. 1451-1456 - Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao:
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. 1457-1460 - Ruifen Cao, Qingsong Gu, Dayu Tan, Pi-Jing Wei, Chunhou Zheng:
Prediction of microsatellite instability of colorectal cancer using multi-scale pathological images based on deep learning. 1461-1466 - Özdemir Çetin, Mingzhi Chen, Paul Ziegler, Peter Wild, Heinz Koeppl:
Deep learning-based restaining of histopathological images. 1467-1474 - Xiaojuan Chen, Tao Hu, Song Guo:
MDANet: Multi-Direction Attention Network for Curvilinear Structure Segmentation of Biomedical Images. 1475-1480 - Taoyu Chen, Fei Luo, Fu Zhou, Feng Liu, Yunfei Zha:
ViFUNet: a Vision Flash based UNet for lung nodules segmentation task. 1481-1486 - Shubai Chen, Xiaodong Yang, Yiqiang Chen, Hanchao Yu, Hong Cai:
Uncertainty-based Fusion Netwok for Automatic Skin Lesion Diagnosis. 1487-1492 - Jingrui Chen, Yujie Li, Jing Xiao, Ruiquan Ge, Wenjun Ma, Xiaomao Fan:
MSF-SleepNet: Multi-Stream Fusion Network with Contrastive Learning for Sleep Stage Classification. 1493-1496 - Jun Chen, Yangguang Cui, Fuke Shen, Jianhua Shen, Tongquan Wei:
DBANet: A Dual Branch Attention-Based Deep Neural Network for Biological Iris Recognition. 1497-1500 - Mingzhu Chen, Xiaotong Li, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng, Tao Zhang, Shang Gao:
Single-Modality Endoscopic Polyp Segmentation via Random Color Reversal Synthesis and Two-Branched Learning. 1501-1504 - Zhi-Jie Chen, Tianyi Xing, Qianwei Zhou, Haigen Hu, Xiao-Xin Li:
Accelerating Deeply Cascaded Convolutional Networks for MRI Reconstruction via Pixel-Unshuffle Caused Feature Squeezing. 1505-1510 - Songzhi Chen, Zu Soh, Takafumi Sasaoka, Yuu Minematsu, Hikaru Momose, Takahide Nozawa, Toshio Tsuji:
Peripheral Arterial Stiffness Response to Heptanal Odor and its Relation to Subjective Evaluation. 1511-1516 - Jiashun Dong, Hongyan Quan, Jun Han:
Multi-Scale Prototype Constraints with Relation Aggregation for Semi-supervised Medical Image Segmentation. 1517-1520 - Marlena Duda, Ashkan Faghiri, Vince D. Calhoun:
Multimodal Analysis Uncovers Links between Grey Matter Volume and both Low-and High-frequency Dynamic Connectivity States in Schizophrenia. 1521-1525 - Lin Fan, Ruiling Yao, Zhongming Wang, Yan Li:
A novel method for diagnosing hypertension based on wrist pulse signals and constitution. 1526-1529 - Yibo Feng, Yudong Wang, Ruize Yu, Yiqing Shen, Shaokang Wang, Jiangfen Wu, Weidao Chen:
MFA-DSLNet: Multi-scale Fusion Attention Mechanism with Dual-threshold Self-paced Learning for Pediatric Pneumonia Diagnosis. 1530-1533 - Zeyu Gao, Anyu Mao, Jialun Wu, Yang Li, Chunbao Wang, Caixia Ding, Tieliang Gong, Chen Li:
Uncertainty-based Model Acceleration for Cancer Classification in Whole-Slide Images. 1534-1538 - Fangfang Gou, Jia Wu:
An Attention-based AI-assisted Segmentation System for Osteosarcoma MRI Images. 1539-1543 - Lu He, Haifeng Wang, Mandana Rezaeiahari, Chun-An Chou:
An Embedded Machine Learning Model for Early Detection and Intervention of High-Risk Intensive Care Unit Readmission Patients. 1544-1549 - Fan Hou, Cai Zhao, Ningling Su, Jiening Wang, Linning E, Wen Zheng:
Quantitative assessment of interstitial lung disease based on RDNet convolutional network. 1550-1553 - Yixiao Hu, Haolin Wang, Baobin Li:
SQET: Squeeze and Excitation Transformer for High-accuracy Brain Age Estimation. 1554-1557 - Yanglin Huang, Donghui Tan, Yuan Zhang, Xuanya Li, Kai Hu:
TransMixer: A Hybrid Transformer and CNN Architecture for Polyp Segmentation. 1558-1561 - Kuan Huang, Jianhua Huang, Weichen Wang, Meng Xu, Feifei Liu:
A Deep Active Learning Framework with Information Guided Label Generation for Medical Image Segmentation. 1562-1567 - Lorenzo J. James, Jordi M. A. van Heugten, Pieter M. E. Van Gorp, Raoul C. Y. Nuijten, Barbara Montagne, Muriel A. Hagenaars, Lily E. Frank:
Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app. 1568-1573 - Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu:
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. 1574-1579 - Zhichao Jin, Haigen Hu, Qianwei Zhou, Qiu Guan, Xiaoxin Li, Qi Chen:
Joint Feature Learning for Cell Segmentation Based on Multi-scale Convolutional U-Net. 1580-1585 - Liao Ke, Armagan Elibol, Xiao Wei, Liao Cenyu, Wang Wei, Nak Young Chong:
Machine Learning Algorithm to Predict Cardiac Output Using Arterial Pressure Waveform Analysis. 1586-1591 - Muhammad Zubair Khan, Yugyung Lee:
Region Extraction with Deep Cascaded Neural Architecture for Preserving Image Intensities. 1592-1596 - Yijiang Li, Wentian Cai, Ying Gao, Chengming Li, Xiping Hu:
More than Encoder: Introducing Transformer Decoder to Upsample. 1597-1602 - Shaojie Li, Yifan Zhang, Xuan Yang:
Semi-Supervised Cardiac Image Segmentation Using a Bicycle VAE with Cross Prior Attention. 1603-1606 - Zepeng Li, Peilun Geng, Shuo Cao, Bin Hu:
Few-Shot Knowledge Graph Completion based on Data Enhancement. 1607-1611 - Siheng Li, Zhi Wang, Beihong Jin, Fusang Zhang, Xiaoyong Ren, Yitong Zhang:
Sleep Respiration Monitoring Using Attention-reinforced Radar Signals. 1612-1615 - Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Jing Feng, Meng Wu:
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. 1616-1619 - Yicong Li, Yang Tan, Jingyun Yang, Yang Li, Xiao-Ping Zhang:
Finding the Most Transferable Tasks for Brain Image Segmentation. 1620-1625 - Hao Li, Yirui Wu, Hexuan Hu, Hu Lu, Yong Lai, Shaohua Wan:
Learning Group-Disentangled Representation for Interpretable Thoracic Pathologic Prediction. 1626-1629 - Yi Lin, Jingchi Jiang, Zhaoyang Ma, Dongxin Chen, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng:
CGPG-GAN: An Acne Lesion Inpainting Model for Boosting Downstream Diagnosis. 1634-1638 - Yi Lin, Jingchi Jiang, Dongxin Chen, Zhaoyang Ma, Yi Guan, Xiguang Liu, Haiyan You, Jing Yang, Xue Cheng:
Acne Severity Grading on Face Images via Extraction and Guidance of Prior Knowledge. 1639-1643 - Bowen Liu, Hong Song, Qiang Li, Yucong Lin, Jian Yang:
3D ARCNN: An Asymmetric Residual CNN for Decreasing False Positive Rate of Lung Nodules Detection. 1644-1647 - Xinlong Liu, Zepeng Sun, Wei Liu, Feng Qiao, Li Cui, Jing Yang, Jingjie Sha, Jian Li, Li-Qun Xu:
Multi-level translocation events analysis in solid-state nanopore current traces. 1648-1653 - Jie Liu, Hong Lai, Jinshu Ma, Shuchao Pang:
ConTenNet: Quantum Tensor-augmented Convolutional Representations for Breast Cancer Histopathological Image Classification. 1654-1657 - Yuxi Liu, Shaowen Qin, Antonio Jimeno-Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim:
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values. 1658-1663 - Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai:
Brain Effective Connectivity Learning with Deep Reinforcement Learning. 1664-1667 - Sanbi Luo:
Image-to-Image Orthodontics Transfer Employing Gray Level CO-Occurrence Matrix Loss. 1668-1672 - Georgios Mavroudeas, Nafis Neehal, Jason Nicholas Kuruzovich, Kristin P. Bennett, Malik Magdon-Ismail:
Subpopulation Analysis in Causal Inference: A Healthcare Case Study. 1673-1676 - Yang Ning, Shouyi Zhang, Wei Zhong, Peide Liu, Caiming Zhang:
A Hybrid Cross-Scale Transformer Architecture for Robust Medical Image Segmentation. 1677-1682 - Yao Niu, Zhiming Luo, Sheng Lian, Lei Li, Shaozi Li, Haixin Song:
Symmetrical Supervision with Transformer for Few-shot Medical Image Segmentation. 1683-1687 - Una Pale, Tomás Teijeiro, David Atienza:
ExG Signal Feature Selection Using Hyperdimensional Computing Encoding. 1688-1693 - Hongyan Quan, Qiao Wang, Jiashun Dong, Yu Zhang, Changqing Zhan, Xiaoxiao Qian:
3D Reconstruction of Medical Images with Transformer. 1694-1697 - Md. Selim, Jie Zhang, Baowei Fei, Matthew A. Lewis, Guo-Qiang Zhang, Jin Chen:
UDA-CT: A General Framework for CT Image Standardization. 1698-1701 - Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan:
A segmentation method of airway from chest CT image based on VGG-Unet neural network. 1702-1705 - Yiqing Shen, Baiyun Liu, Ruize Yu, Yudong Wang, Shaokang Wang, Jiangfen Wu, Weidao Chen:
Federated Learning for Chronic Obstructive Pulmonary Disease Classification with Partial Personalized Attention Mechanism. 1706-1709 - Qiuxia Shi, Bin Hu, Fuze Tian, Qinglin Zhao:
Noncontact Doppler Radar-based Heart Rate Detection on the SVD and ANC. 1710-1713 - Jianyu Shi, Xiaohong Liu, Guoxing Yang, Guangyu Wang:
Enhanced CT Image Generation by GAN for Improving Thyroid Anatomy Detection. 1714-1717 - Neil Joshua Limbaga, Kevin Luis Mallari, Nathan Richward Yeung, Jose Claro Monje:
Development of an EEG-based Brain-Controlled System for a Virtual Prosthetic Hand. 1714-1717 - Mohammad Shiri, Jiangwen Sun:
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events. 1718-1723 - Kuang Shu, Heng Li, Jie Cheng, Qinghai Guo, Luziwei Leng, Jianxing Liao, Yan Hu, Jiang Liu:
Replay-Oriented Gradient Projection Memory for Continual Learning in Medical Scenarios. 1724-1729 - Ziyou Sun, Xiaohui Yang, Zhiquan Feng, Tao Xu, Xue Fan, Jinglan Tian:
EHR2HG: Modeling of EHRs Data Based on Hypergraphs for Disease Prediction. 1730-1733 - Hao Sun, Lianghao Jin, Wei Xie:
Deformable Attention U-Shaped Network with Progressively Supervised Learning for Subarachnoid Hemorrhage Image Segmentation. 1734-1739 - Shuting Sun, Chang Yan, Juntong Lyu, Yueran Xin, Jieyuan Zheng, Zhaolong Yu, Bin Hu:
EEG Based Depression Recognition by Employing Static and Dynamic Network Metrics. 1740-1744 - Yongsen Tan, Jiahui Huang, Jinhu Zhuang, Yong Liu, Haofan Huang, Xiaxia Yu, Fusheng Wang:
Generalizable deep clustering based on Bi-LSTM with applications to sepsis and acute kidney disease populations. 1745-1750 - I Hua Tsai, Bashir I. Morshed:
Beat-by-Beat Classification of ECG Signals Using Machine Learning Algorithms to Detect PVC Beats for Real-time Predictive Cardiac Health Monitoring. 1751-1754 - Xuehong Wu, Yifan Wu, Min Li:
MERAS: A method for entity recognition, alignment, and structuration from Chinese Electronic Medical Records. 1755-1758 - Zhiwen Xiao, Haoxi Zhang, Huagang Tong, Xin Xu:
An Efficient Temporal Network with Dual Self-Distillation for Electroencephalography Signal Classification. 1759-1762 - Haifeng Xu, Mei Li, Xuemeng Li, Lei Cao, Jianfei Pang, Dongsheng Zhao:
Long-term recurrence prediction models for NICE based on machine learning and China national stroke screening data. 1763-1767 - Zhengjing Xu, Kanghao Chen, Wei-Shi Zheng, Zhijun Tan, Xiaobo Yang, Ruixuan Wang:
Expert with Outlier Exposure for Continual Learning of New Diseases. 1768-1772 - Yajie Yang, Gang Yang, Dayong Ding, Jianchun Zhao:
Contour Offset Map: A New Component Designed for Smooth and Robust Optic Disc/Cup Contour Detection. 1773-1776 - Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. 1777-1780 - Hang Yu, Qingchen Zhang:
Clinically Coherent Radiology Report Generation with Imbalanced Chest X-rays. 1781-1786 - Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu:
Feature-Guided Logical Perception Network for Health Risk Prediction. 1787-1790 - Ruiguo Yu, Xianzhi Zhang, Mankun Zhao, Yang Yan, Ming Li, Mei Yu:
CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules. 1791-1795 - Yanchao Yuan, Cancheng Li, Lu Xu, Shangming Zhu, Yang Hua, Jicong Zhang:
Joint Segmentation of Intima-Media Complex and Lumen in Carotid Ultrasound Images. 1796-1799 - An Zeng, Chenxi Mi, Dan Pan, Qing Lu, Xiaowei Xu:
ImageALCAPA: A 3D Computed Tomography Image Dataset for Automatic Segmentation of Anomalous Left Coronary Artery from Pulmonary Artery. 1800-1803 - Jianxin Zhang, Cunqiao Hou, Wen Zhu, Mingli Zhang, Ying Zou, Lizhi Zhang, Qiang Zhang:
Attention multiple instance learning with Transformer aggregation for breast cancer whole slide image classification. 1804-1809 - Yanchao Zhang, Jiazheng Liu, Zhenchen Li, Jinyue Guo, Hua Han:
CFDA-M: Coarse-to-Fine Domain Adaptation for Mitochondria Segmentation via Patch-wise Image Alignment and Online Self-training. 1810-1815 - Haodi Zhang, Chenyu Xu, Jiahong Li, Peirou Liang, Xiangyu Zeng, Hao Ren, Weibin Cheng, Kaishun Wu:
Explainable Pulmonary Disease Diagnosis with Prompt-Based Knowledge Extraction. 1816-1819 - Yejia Zhang, Xinrong Hu, Nishchal Sapkota, Yiyu Shi, Danny Z. Chen:
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation. 1820-1823 - Yejia Zhang, Nishchal Sapkota, Pengfei Gu, Yaopeng Peng, Hao Zheng, Danny Z. Chen:
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images. 1824-1829 - Shijie Zhou, Deshui Yu, Yuhui Cai, Yujie Zhang, Bojun Li, Wei Li:
TCAM-Resnet: A convolutional neural network for screening DR and AMD based on OCT images. 1830-1835 - Guokai Zhou, Weiting Chen:
Protein Functional Family Classification Based on Multilevel Feature Information. 1836-1839 - Yu Zhou, Yinxian He, Kyungtae Kang:
OSA-CCNN: Obstructive Sleep Apnea Detection Based on a Composite Deep Convolution Neural Network Model using Single-Lead ECG signal. 1840-1845 - Jing Zhu, Xiannian Xie, Changlin Yang, Shiqing Wei, Xiaowei Li, Bin Hu:
Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement. 1846-1850 - Qiang Zhu, Cheng Hong, Bangchao Wang, Xinrong Hu, Jie Yang, Junping Liu:
Joint Extraction of Biomedical Entities and Relations based on Decomposition and Recombination Strategy. 1851-1856 - Abdulyekeen T. Adebisi, Venkateswarlu Gonuguntla, Ho-Won Lee, Myong-Hun Hahm, Kalyana C. Veluvolu:
Network based Identification of Dementia Onsets Using Structural MRI Network Signature. 1857-1864 - Edmond Adib, Fatemeh Afghah, John J. Prevost:
Arrhythmia Classification Using CGAN-Augmented ECG Signals. 1865-1872 - Caterina Alfano, Lorenzo Farina, Manuela Petti:
Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer. 1873-1878 - Pratuat Amatya, Paola Stolfi, Flavio Lombardi, Paolo Tieri:
DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing. 1879-1885 - Francesco Chiodo, Mario Torchia, Enza Messina, Elisabetta Fersini, Tommaso Mazza, Pietro Hiram Guzzi:
A novel framework based on network embedding for the simulation and analysis of disease progression. 1886-1890 - Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi:
Heterogeneous Graph Sparsification for Efficient Representation Learning. 1891-1896 - Jinlian Du, Xiaolin Du, Hang Su:
A Gene Similarity Algorithm Based on Autocorrelation of Diseases and Phenotypes. 1897-1904 - Pietro Hiram Guzzi, Ugo Lomoio, Rocco Scicchitano, Pierangelo Veltri:
NOMA-DB: a framework for management and analysis of ageing-related gene-expression data. 1905-1910 - Sundous Hussein, Thao Vu, Leslie Lange, Russell Bowler, Katerina J. Kechris, Farnoush Banaei Kashani:
Effective Subject Representation based on Multi-omics Disease Networks using Graph Embedding. 1911-1918 - Tanzir Ul Islam, Noman Mohammed, Dima Alhadidi:
Private Federated Framework for Health Data. 1919-1926 - Cory Kromer-Edwards, Mariana Castanheira, Suely Oliveira:
K-Mer Fingerprinting with RNN to predict MICs for K. pneumoniae. 1927-1932 - Baihan Lin:
Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity. 1933-1940 - Riccardo De Luca, Marco Carfora, Gonzalo Blanco, Andrea Mastropietro, Manuela Petti, Paolo Tieri:
PROCONSUL: PRObabilistic exploration of CONnectivity Significance patterns for disease modULe discovery. 1941-1947 - Jagadeepram Maddipatla:
ClassAphasia: An Ensemble Machine Learning Network to Improve Aphasia Diagnosis and Determine Severity. 1948-1951 - Ali Toccacieli, Manuela Petti:
Identification of Cancer Biomarkers for Multi-class Diagnostics through Network Analysis of RNAseq Data of Tumor-Educated Platelets. 1952-1956 - Jaswanth K. Yella, Sudhir Ghandikota, Anil G. Jegga:
GraMDTA: Multimodal Graph Neural Networks for Predicting Drug-Target Associations. 1957-1965 - Ziliang Zhang, Yunxiang Ge, Weibei Dou:
Clique Network-Based Statistics for Detecting Altered Topological Structures in the Brain Network. 1966-1973 - Peng Zhang, Shikui Tu:
A knowledge graph embedding-based method for predicting the synergistic effects of drug combinations. 1974-1981 - Zuwaina Alkhyeli, Ayesha Alshehhi, Mazna Alhemeiri, Salma Aldhanhani, Khalil AlBalushi, Fatima Ali AlNuaimi, Abdelkader Nasreddine Belkacem:
Secure Password Using EEG-based BrainPrint System: Unlock Smartphone Password Using Brain-Computer Interface Technology. 1982-1987 - Sara Mohammed Alzahmi, Bashayer Mohammed Alyammahi, Maitha Saeed Alyammahi, Mariam Rashed Alshamsi, Abdelkader Nasreddine Belkacem:
Electroencephalography-Neurofeedback for Decoding and Modulating Human Emotions. 1988-1993 - Gang Cao, Liying Yang, Pei Ni:
Electroencephalogram Emotion Recognition Based on Individual Frontal Asymmetry Hypothesis. 1994-2001 - Dalila Cherifi, Hichem Zenati, Mohamed Amine Ouchene, Mohammed Abdenacer Merbouti, Dyhia Ibrahim, Larbi Boubchir:
Prediction Models for Epilepsy Detection on the EEG Signal. 2002-2008 - Gwenevere Frank, Scott Makeig, Arnaud Delorme:
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. 2009-2016 - Jiyao Liu, Hao Wu, Li Zhang:
CR-GAT: Consistency Regularization Enhanced Graph Attention Network for Semi-supervised EEG Emotion Recognition. 2017-2023 - Jiyao Liu, Huifu Li:
REEG-BTCNet: A Novel Framework for EEG-based Motor Imagery Classification. 2024-2028 - Hao Wu, Jiyao Liu:
A Multi-stream Deep Learning Model for EEG-based Depression Identification. 2029-2034 - Yupei Zhang, Yunan Xu, Rui An, Yuxin Li, Shuhui Liu, Xuequn Shang:
Markov Guided Spatio-Temporal Networks for Brain Image Classification*. 2035-2041 - Shilin Zhang, Qingchen Zhang:
A Multidimensional Feature Extraction Method Based on MSTBN and EEMD-WPT for Emotion Recognition from EEG Signals. 2042-2048 - Sohaib Asif, Wenhui Yi, Jinhai Si, Zafran Waheed, Yi Yueyang, Hou Jin:
CVD19-Net: An Automated Deep Learning Model for COVID-19 Screening using Chest CT Images. 2049-2058 - Anping Cai, Leiting Chen, Yongqi Chen, Jiahao Fang, Mengqi Sun, Chuan Zhou:
Pre-MocoDiagnosis: Few-Shot Ophthalmic Diseases Recognition using Contrastive Learning. 2059-2066 - Shuai Chen, Juan Wang, Maozu Guo:
A new method for predicting plant proteins function based on multi label classification algorithm. 2067-2073 - Fajin Feng, Kai Wang, Xiaohong Liu, Qifeng Gu, Guangyu Wang:
AMAT-Net: An Unbiased Network with High Performance for Metabolic Diseases Prediction Using Facial Images. 2074-2079 - Haowen Guan, Dong Si:
DeepTracer-Denoising: Deep Learning for 3D Electron Density Map Denoising. 2080-2087 - Zhi-Yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu:
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. 2088-2094 - Yu Liu, Guihe Qin, Kedi Lyu, Yongping Huang:
Mixed-Net: A Mixed Architecture for Medical Image Segmentation. 2095-2102 - Dairong Peng, Sirui Sun, Xinyu Liu, Ju Zhou, Tong Chen:
Facial StO2: A New Promising Biometric Identity. 2103-2109 - Yunbo Rao, Obed Tettey Nartey, Shaoning Zeng, Kingsley Nketiah Acheampong, Charles Roland Haruna, Jianxun Sun:
LeFUNet: UNet with Learnable Feature Connections for Teeth Identification and Segmentation in Dental Panoramic X-ray Images. 2110-2118 - Dong Sui, Weifeng Liu, Maozu Guo, Yang Li, Lei Zhang, Gongning Luo, Kuanquan Wang:
Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis. 2119-2126 - Runhan Wang, Ruiwei Zhao, Weijia Fu, Xiaobo Zhang, Yuejie Zhang, Rui Feng:
Multi-contrast High Quality MR Image Super-Resolution with Dual Domain Knowledge Fusion. 2127-2134 - Jinfeng Wang, ShuaiHui Hang, Yong Liang, Jing Qin, Wenzhong Wang:
SSGL1/2: An Improved SVM with Smooth GroupL1/2 for Predicting AD. 2135-2142 - Tong Wu, He Huang, Jiashan Li, Wenda Wang, Xinqi Gong:
Inter-chain contact map prediction for protein complex based on graph attention network and triangular multiplication update. 2143-2148 - Xuan Yang, Keqin Li, Yang Zhang, Xi Yu, Junli Deng, Jianxiao Liu:
EpiMCBN: A Kind of Epistasis Mining Approach Using MCMC Sampling Optimizing Bayesian Network. 2149-2156 - Guoxing Yang, Xiaohong Liu, Jianyu Shi, Xianchao Zhang, Guangyu Wang:
AIAT: Adaptive Iteration Adversarial Training for Robust Pulmonary Nodule Detection. 2157-2161 - Sheng-Nan Zhang, Yu-Lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge:
Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. 2162-2168 - Luca Barillaro, Giuseppe Agapito, Mario Cannataro:
Edge-based Deep Learning in Medicine: Classification of ECG signals. 2169-2174 - Pietro Cinaglia, José Luis Vázquez-Poletti, Mario Cannataro:
Serverless computing for RNA-Seq data analysis. 2175-2181 - Jisui Huang, Na Lei, Ke Chen, Yuxue Ren, Zhenchang Wang, Yuanyuan Shang:
Approximate Minimum Homology Basis for 3D Image and Its Application in Medical Image Segmentation. 2182-2189 - Zheming Jin, Jeffrey S. Vetter:
Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU. 2190-2195 - Chen Li, Wilson W. C. Yiu, Wanbin Hu, Lu Cao, Fons J. Verbeek:
A Feature Weighted Tracking Method for 3D Neutrophils in Time-lapse Microscopy. 2196-2202 - Joseph Sun, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng:
A Machine-Learning Approach for Predicting Depression Through Demographic and Socioeconomic Features. 2203-2207 - Shaza B. Zaghlool, Omneya Attallah:
A Review of Deep Learning Methods for Multi-omics Integration in Precision Medicine. 2208-2215 - Guozheng Zhang, Shu-Zhen Li, Xu-Ran Dou, Junliang Shang, Qianqian Ren, Ying-Lian Gao:
Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation. 2216-2223 - Chuan Zhou, Wei Zhang, Hang Chen, Leiting Chen:
Domain Adaptation for Medical Image Classification without Source Data. 2224-2230 - Chuan Zhou, Mengqi Sun, Leiting Chen, Anping Cai, Jiahao Fang:
Few-shot Learning Framework Based on Adaptive Subspace for Skin Disease Classification. 2231-2237 - Ahmed Awad Albishri, Syed Jawad Hussain Shah, Yugyung Lee:
TLU-Net: Transfer Learning Framework using U-Net Convolutional Neural Networks for CT-based Lungs and COVID-19 Segmentation. 2238-2246 - Yunjie Cai, Zeqi Zheng, Shanling Nie, Yue Guo, Ruijie Zhang, Hai Yang:
Multi-MedVit: a deep learning approach for the diagnosis of COVID-19 with the CT images. 2247-2252 - Justin Q. Chen, Kevin Qi, Aaron Zhang, Mikhail Y. Shalaginov, Tingying Helen Zeng:
COVID-19 Impact on Mental Health Analysis based on Reddit Comments. 2253-2258 - M. Saqib Nawaz, Philippe Fournier-Viger, Yulin He:
S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures. 2259-2265 - Jon Rogers, Ramazan S. Aygün, Letha H. Etzkorn:
Identifying Variability in U.S. COVID-19 Response Through Temporal Partial Ordering Detection. 2266-2273 - Jingyi Shi, Ghodsieh Ghanbari, Chao Xia:
KEP-1.0: An Automatic Pipeline to Assist a Rapid Learning of COVID-19 Publications. 2274-2280 - Yuqi Chen, Juan Liu, Peng Jiang, Jing Feng, Dehua Cao, Baochuan Pang:
A Context-Guided Attention Method for Integrating Features of Histopathological Patches. 2281-2286 - Kai He, Bing Mao, Xiangyu Zhou, Yufei Li, Tieliang Gong, Chen Li, Jialun Wu:
Knowledge Enhanced Coreference Resolution via Gated Attention. 2287-2293 - Qi Jia, Jing Guo, Fei Du, Peng Yang, Yun Yang:
A Fast Texture-to-Stain Adversarial Stain Normalization Network for Histopathological Images. 2294-2301 - Peng Jiang, Juan Liu, Lang Wang, Jing Feng, Dehua Cao, Baochuan Pang:
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. 2302-2307 - Ayesha Kousar, Shivam Damani, Priyanka Anvekar, Arush Rajotia, Keerthy Gopalakrishnan, Bhavana Baraskar, Vaishnavi K. Modi, Keirthana Aedma, Joshika Agarwal, Hima Varsha Voruganti, Mansunderbir Singh, Enis Kostallari, Shivaram Poigai Arunachalam:
Deep Learning Based Classiftcation of Normal and Hepatic Fibrosis Mouse Model Using Digital Pathology Images. 2308-2313 - Jagadeepram Maddipatla:
ClassAphasia: An Ensemble Machine Learning Network to Improve Aphasia Diagnosis and Determine Severity. 2314-2317 - Bing Mao, Chang Jia, Yucheng Huang, Kai He, Jialun Wu, Tieliang Gong, Chen Li:
Uncertainty-guided Mutual Consistency Training for Semi-supervised Biomedical Relation Extraction. 2318-2325 - Can Luo, Parth A. Datar, Yichen Henry Liu, Xin Zhou:
Haplotype-phasing of long-read HiFi data to enhance structural variant detection through a Skip-Gram model. 2326-2333 - Lorenzo Martini, Roberta Bardini, Alessandro Savino, Stefano Di Carlo:
High-resolution sample size enrichment of single-cell multi-modal low-throughput Patch-seq datasets. 2334-2341 - Jonathan He, Olivia Liu, Xuan Guo:
Deep Learning Based MS2 Feature Detection for Data-Independent Shotgun Proteomics. 2342-2348 - Gul Hameed Khan, Nadeem Ahmad Khan, Muhammad Awais Bin Altaf:
Shallow Sparse Autoencoder Based Epileptic Seizure Prediction. 2349-2356 - Tong Li, Xueqi Li, Yewen Li, Ruibao Song, Xun Wang:
Crescent: A GPU-based Targeted Nanopore Sequence Selector. 2357-2365 - Xihaier Luo, Sean McCorkle, Gilchan Park, Vanessa López-Marrero, Shinjae Yoo, Edward R. Dougherty, Xiaoning Qian, Francis J. Alexander, Byung-Jun Yoon:
Comprehensive analysis of gene expression profiles to radiation exposure reveals molecular signatures of low-dose radiation response. 2366-2374 - Zhiwei Song, Brittany A. Baur, Sushmita Roy:
Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks. 2375-2377 - Shihao Zhang, Fenghui Liu, Feng Wang, Lin Qi, Yun Tie:
PNF: a novel method based on connectivity and similarity for data integration and cancer subtyping. 2378-2384 - Ming Cao, Hang Mi, Qinke Peng:
The regulatory network analysis of single-cell RNA-seq and single-cell ATAC-seq data using differential equation models with perturbations. 2385-2389 - Jing Chen, Pengfei Zhu, Jinghui Pan, Tao Wang:
Exploring genetic mechanisms underlying EEG endophenotypes via summary-data-based Mendelian randomization. 2390-2396 - Yu Guo, Minghao Li, Yang Hu, Tianyi Zang:
MTOR hypermethylation may associate with the susceptibility and survival of SARS-CoV-2 infections to lung adenocarcinoma patients based on multi-omics data and machine learning. 2397-2402 - Navya Martin Kollapally, Yan Chen, Julia Xu, James Geller:
An Ontology for the Social Determinants of Health Domain. 2403-2410 - Xinmeng Liu, Yuhe Zhang, Yewei Shen, Xuequn Shang, Yongtian Wang:
CircRNA-Disease Association Prediction based on Heterogeneous Graph Representation. 2411-2417 - Shizheng Qiu, Ying Zhang, Yang Hu:
Identification of the expression, prognostic value and cancer immunity of Gasdermin E based on multi-omics data, machine learning and gene ontology. 2418-2423 - Tao Wang, Hengbo Xu, Ranye Zhang, Yifu Xiao, Jiajie Peng, Xuequn Shang:
Hypergraph-based Gene Ontology Embedding for Disease Gene Prediction. 2424-2430 - Guang Zheng, Ye Lv, Junmei Zhao, Hongtao Guo:
The Regulation Networks of Chinese Medicines Against Rheumatoid Arthritis with Syndrome of Deficiency of Liver and Kidney. 2431-2438 - Yongde Guo, Xudong Yan, Liang Ma, LuYu Tang, Jing Xiong, Yan Yan:
A Pupil Segmentation Framework with Masked Image Modeling Enhanced Swin-Transformer. 2439-2444 - Tianzheng Liao, Jinjin Zhao, Yushi Liu, Kamen Ivanov, Jing Xiong, Yan Yan:
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition. 2445-2452 - Jianhui Lv, Qing Li, Bo Yi:
5G-Enabled and Mobility Supported ICN Routing based on Ant Swarm Behavior. 2453-2460 - Hemin Ali Qadir, Younghak Shin, Jacob Bergsland, Ilangko Balasingham:
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames. 2461-2466 - Gen Shi, Yifan Zhu, Fuquan Zhang, Wenjin Liu, Yuxiang Yao, Xuesong Li:
Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder. 2467-2473 - Mengfei Tang, Tianyu Huang, Jupeng Luo, Xiangchen Li:
PAMS-DP: Building a Unified Open PAMS Human Movement Data Platform. 2474-2481 - Sisi Wu, Tianyu Huang, Yihao Li:
A rehabilitation activity monitoring method based on Shallow-CNN. 2482-2489 - Xingsi Xue, Qi Wu, Miao Ye, Hai Zhu, Yikun Huang:
Efficient Biomedical Ontology Meta-matching Based on Interpolation Model Based Hybrid Evolutionary Algorithm. 2490-2497 - Liying Yang, Dunhui Liu, Qingyang Zhang, Si Chao, Pei Ni, Qiang Wang, Haoxuan Sun:
EEG emotion recognition via Identity based Multi-gate Mixture-of-Experts network. 2498-2505 - Zeeshan Abbas, Mobeen Ur Rehman, Kil To Chong:
TC-6mA-Pred: Prediction of DNA N6-Methyladenine Sites Using CNN with Transformer. 2506-2510 - Pietro Cinaglia, Mario Cannataro:
Alignment of Dynamic Networks based on Temporal Embeddings. 2511-2518 - Guy Karlebach, Peter N. Robinson:
Computing Minimal Boolean Models of Gene Regulatory Networks. 2519-2525 - Paola Lecca, Angela Re:
Checking for non-Euclidean latent geometry of biological networks. 2526-2535 - Mobeen Ur Rehman, Zeeshan Abbas, Kil To Chong:
Identification of Human RNA m5C sites using CapsuleNet Architecture. 2536-2541 - Haotian Wang, Yi Guan, Linjiang Ma, Xin Li, Jing Xie, Jingchi Jiang:
Multi-scale Label Attention Network based on Abductive Causal Graph for Disease Diagnosis. 2542-2549 - William Xu, Tingying Helen Zeng, Mikhail Y. Shalaginov:
Class Activation Mapping Enhanced AlexNet Convolutional Neural Networks for Early Diagnosis of Alzheimer's Disease. 2550-2555 - Xuehui Yu, Yi Guan, Xinmiao Yu, Xue Li, Jingchi Jiang:
Causal Coupled Mechanisms: A Control Method with Cooperation and Competition for Complex System. 2556-2563 - Qiushi Zhang, Hongwei Liu, Lang Ao, Hong Liang, Dandan Chen:
A GPU-based approach for detecting genome-wide SNP-SNP interactions of quantitative trait in ADNI cohorts. 2564-2570 - Sohaib Asif, Wenhui Yi, Jinhai Si, Qurrat Ul Ain, Yi Yueyang, Hou Jin:
Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images. 2571-2576 - Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia E. Hostinar, Mahdi Orooji, Houman Homayoun:
Towards Generalized ML Model in Automated Physiological Arousal Computing: A Transfer Learning-Based Domain Generalization Approach. 2577-2584 - Ruijie Fang, Ruoyu Zhang, Elahe Hosseini, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia E. Hostinar, Mahdi Orooji, Houman Homayoun:
Prevent Over-fitting and Redundancy in Physiological Signal Analyses for Stress Detection. 2585-2588 - Raffaele Giancotti, Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi, Patrizia Vizza:
A machine-learning based tool for bioimages managing and annotation. 2589-2594 - Shivangi Gupta, Vineetha Menon, Jérôme Baudry:
Wavelet-based Spectral Analysis For Protein Conformation Selection and Prediction Using AI in Drug Discovery Applications. 2595-2602 - Zeynep Hakguder, Yinchao He, Weiwen Chai, Juan Cui:
Smart Diet Management through Food Image and Cooking Recipe Analysis. 2603-2610 - Xubing Hao, Rashmie Abeysinghe, Jay Shi, Licong Cui:
A substring replacement approach for identifying missing IS-A relations in SNOMED CT. 2611-2618 - Elahe Hosseini, Ruijie Fang, Ruoyu Zhang, Anna M. Parenteau, Sally Hang, Setareh Rafatirad, Camelia Hostinar, Mahdi Orooji, Houman Homayoun:
A Low Cost EDA-based Stress Detection Using Machine Learning. 2619-2623 - Ai-bing Ji, Bo-Wen Wei, Ye Ji:
Fuzzy kernel-free support vector machine and applications in medicine. 2624-2631 - Qi Li, Ming Jiang, Changtian Ying:
An assistant decision-making method for rare diseases based on RNNs model. 2632-2639 - Yacong Li, Jun Liu, Runlan Wan, Lei Ma, Henggui Zhang:
Effect of arsenic trioxide on human ventricular myocytes: a model study. 2640-2647 - Lei Liu, Xiangdong Su:
How Well Apply Multimodal Mixup and Simple MLPs Backbone to Medical Visual Question Answering? 2648-2655 - Luis A. Pena Marquez, Subhajit Chakrabarty:
Automatic Image Segmentation of Monocytes and Index Computation Using Deep Learning. 2656-2659 - Fatima Ali Al Nuaimi, Jamal Zeddoug, Abdelkader Nasreddine Belkacem:
Real-time Control of UGV Robot in Gazebo Simulator using P300-based Brain-Computer Interface. 2660-2666 - Daniele Pala, Brian Lee, Xia Ning, Dokyoon Kim, Li Shen:
Mediation Analysis and Mixed-Effects Models for the Identification of Stage-specific Imaging Genetics Patterns in Alzheimer's Disease. 2667-2673 - Tuan D. Pham:
Visual Concurrent Analysis of Gait Patterns Among Healthy Young, Old Adults, and Patients With Parkinson's Disease. 2674-2681 - Chen Qian, Jingkai Di, Jiyun Li:
Detecting Mild Cognitive Impairment in Alzheimer's Disease using Speech Acoustics Only: A Two-Stage Deep Metric Learning Approach. 2682-2689 - Sabino Ramirez, Mathias Brieu, Negin Forouzesh:
Low Data Image Analysis with a Generative Adversarial Network: A Case Study on Women Pelvic MRI Scans. 2690-2695 - Poulami Samaddar, Poushali Samadder, Bhavana Baraskar, Priyanka Anvekar, Shalil Khanal, Sunil Gaddam, Sayan Roy, Dipankar Mitra, Enis Kostallari, Shivaram Poigai Arunachalam:
Machine Learning Models to Classify Normal and Fibrotic Mouse Liver Model using Dielectric Properties. 2696-2703 - Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Samer Alabed, Andrew J. Swift, Haiping Lu:
Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension. 2704-2710 - Miaomiao Wei, Corey M. Thibeault, Robert B. Hamilton, Fabien Scalzo:
CBFV Waveform Pattern Analysis in Noninvasive Ultrasound-based ICP Monitoring. 2711-2718 - Donglin Yang, Huifan Yang, Bin Wu:
TsERL: Two-stage Enhancement of Radical and Lexicon for Chinese Medical Named Entity Recognition. 2719-2726 - Yazhou Zhang, Yu He, Lu Rong, Yijie Ding:
A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory. 2727-2734 - Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang:
Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. 2735-2742 - Guang Zheng, Jiaqi Ru, Junmei Zhao, Hongtao Guo:
The Chinese Medicines Reduce Osteoporosis Caused by Therapy of Glucocorticoids and Tafacitinib Against Rheumatoid Arthritis. 2743-2750 - Qiguang Zheng, Qifan Shen, Xin Su, Kuo Yang, Zixin Shu, Xuezhong Zhou:
RESurv: A Deep Survival Analysis Model to Reveal Population Heterogeneity by Individual Risk. 2751-2758 - Arianna Anniciello, Simona Fioretto, Elio Masciari, Enea Vincenzo Napolitano:
Covid-19 impact on health information technology: the rapid rise of e-Health and Big Data driven innovation of healthcare processes. 2759-2764 - Maria Cevallos, Matteo De Biase, Eugenio Vocaturo, Ester Zumpano:
Fake News Detection on COVID 19 tweets via Supervised Learning Approach. 2765-2772 - Kaiyan Chen, Xiangjun Dong, Weiyang Chen:
Face Age Predictions by combining Local and Global Facial Features. 2773-2778 - Carmela Comito:
Social Media Mining and Analysis to support authorities in COVID-19 pandemic preparedness. 2779-2783 - Carson K. Leung, Evan W. R. Madill, Nguyen Duy Thong Tran, Christine Y. Zhang:
Health Informatics on Big COVID-19 Pandemic Data via N-Shot Learning. 2784-2791 - Vishwajeet Marathe, Changhui Yan:
Evolution Of SARS-CoV-2 In The Presence Of Vaccines. 2792-2796 - Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna E. Thorpe, Melissa A. Haendel, Christopher G. Chute, Stephanie S. Hong:
Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. 2797-2802 - Yang Yu, Lu Rong, Mengyao Wang, Min Huang, Yazhou Zhang, Yijie Ding:
Prompt Learning for Multi-modal COVID-19 Diagnosis. 2803-2807 - Alexandra Zamitalo, Qingtong Xie, Mayar Allam, Phinu Philip, Wenqi Shi, Felipe O. Giuste, Benoit Marteau, Mio Murakoso, May D. Wang:
Development of Machine Learning Regression Model for COVID-19 Drug Target Prediction. 2808-2815 - Suganya Chandrababu, Dhundy R. Bastola:
Identification of Cross-feeding Metabolism Reveals Oral-Microbiome Modulated Host Behavior. 2816-2823 - Zuolin Cheng, Songtao Wei, Guoqiang Yu:
A Single-Cell-Resolution Quantitative Metric of Similarity to a Target Cell Type for scRNA-seq Data. 2824-2831 - Xin Chu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu:
Identification of cancer driver modules by combining network functional and topology information. 2832-2838 - Supantha Das, Arnab Hazra, Soumen Kumar Pati, Soumadip Ghosh, Saurav Mallik, Suharta Banerjee, Ayan Mukherji, Aimin Li, Zhongming Zhao:
Detection of Chronic Kidney Disease Using Neuro-Fuzzy Rule-based Classifier. 2839-2845 - Partho Ghose, Selina Sharmin, Loveleen Gaur, Zhongming Zhao:
Grid-Search Integrated Optimized Support Vector Machine Model for Breast Cancer Detection. 2846-2852 - Yuanling Ma, Jinting Guan:
MOCSC: a multi-omics data based framework for cancer subtype classification. 2853-2859 - Huber Nieto-Chaupis:
Quadratic Spreading of Monkeypox Infections Dictated by the Diffusion Equation: The Case of Central Europe. 2860-2864 - Jana Schwarzerova, Michal Zeman, Ivan Rychlik, Wolfram Weckwerth, Ivo Provazník, Monika Dolejská, Darina Cejková:
Systems biology approach for analysis of mobile genetic elements in chicken gut microbiome. 2865-2870 - Margaret J. Varga, Holly B. Bratcher, Keith A. Jolley, Odile B. Harrison, James E. Bray, Martin C. J. Maiden:
Visual Analytics Exploration of PubMLST Meningitis Genomic Data. 2871-2878 - Boqi Wang, Daniel Lu, Catherine Zhang, Nicole Xu, Steven Qiu, Yongsheng Bai, Brian Hu, Zhaohui Qin:
Loci2Tissue: Ranking tissues by the e3xpression of disease-associated genes reveals insights of the underlying mechanisms of complex diseases and traits. 2879-2885 - James Yang, Yongsheng Bai:
Prioritizing Intellectual Disability Candidate Genes and Understanding Family Diseases Using Machine Learning. 2886-2892 - Shayan Fazeli, Lionel M. Levine, Mehrab Beikzadeh, Baharan Mirzasoleiman, Bita Zadeh, Tara Peris, Majid Sarrafzadeh:
Passive Monitoring of Physiological Precursors of Stress Leveraging Smartwatch Data. 2893-2899 - Guohua Hu, Jianxiu Jin, Zhen Song, Shibin Wu, Lin Shu, Junan Xie, Jianlin Ou, Zhuoming Chen, Xiangmin Xu:
A Dataset for Falling Risk Assessment of the Elderly using Wearable Plantar Pressure. 2900-2904 - Md. Niaz Imtiaz, Naimul Khan:
Pan-Tompkins++: A Robust Approach to Detect R-peaks in ECG Signals. 2905-2912 - Jonathan Lee, Sarah Kopelovich, Sunny Chieh Cheng, Dong Si:
Psychosis iREACH: Reach for Psychosis Treatment using Artificial Intelligence. 2913-2920 - Yacong Li, Lei Ma, Qince Li, Henggui Zhang, Kuanquan Wang:
Effect of cell coupling between pacemaker cells on the biological pacemaker in cardiac tissue model. 2921-2928 - Franco Milicchio, Marco Oliva, Mattia Prosperi:
An interleaved hardware-accelerated k-mer parser. 2929-2933 - Mattia Prosperi, Jie Xu, Jingchuan Serena Guo, Jiang Bian, Wei-Han William Chen, Shantrel Canidate, Simone Marini, Mo Wang:
Identification of Social and Racial Disparities in Risk of HIV Infection in Florida using Causal AI Methods. 2934-2939 - Mattia Prosperi, Brittany Rife Magalis, Simone Marini, Marco Salemi:
Transmission cluster characteristics of global, regional, and lineage-specific SARS-CoV-2 phylogenies. 2940-2944 - Barbara Puccio, Patrizia Vizza, Pierangelo Veltri:
On the use of EEG functional connectivity networks in epilepsy studies. 2945-2948 - Brian Sanders, Nahom Kidane, Yuzhong Shen, Robert E. Kelly:
Mobile Application for Measuring Pectus Excavatum Treatment Progress. 2949-2950 - Patrizia Vizza, Giuseppe Tradigo, Pietro Hiram Guzzi, Elena Succurro, Giuseppe Lucio Cascini, Pierangelo Veltri:
Glucose Metabolism Evaluation by using cardiac PET images. 2951-2953 - Patrizia Vizza, Claudia Barrese, Luigi Marafioti, Giuseppe Lucio Cascini, Pierangelo Veltri:
Medical image fusion: a proposed methodology for treatment evaluation. 2954-2956 - Chao Wu, Fuze Tian, Qiuxia Shi, Qinglin Zhao, Bin Hu:
A Portable System of Mental Fatigue Detection and Mitigation based on Physiological Signals. 2957-2963 - Liyan Zhong, Shiyao Huang, Xia Li, Guiqing Liu, Qinqun Chen, Xiaomu Luo, Yuexing Hao, Jiaming Hong, Hang Wei:
Association rule analysis for fetal heart rate pattern of late FGR. 2964-2968 - Rajaram Anantharaman, Anwika Bhandary, Raveesh Nandakumar, R. Rajesh Kumar, Pranav Vajapeyam:
Utilizing Deep Learning to Opportunistically Screen for Osteoporosis from Dental Panoramic Radiographs. 2969-2976 - Zongheng Cai, Jimeng Lei, Junli Deng, Jianxiao Liu:
KtreeGRN: A Method of Gene Regulatory Network Construction Based on k-tree Sampling and Decomposition. 2977-2984 - Luigi D'Arco, Haiying Wang, Huiru Zheng:
A Rapid Detection of Parkinson's Disease using Smart Insoles: A Statistical and Machine Learning Approach. 2985-2992 - Yasmina Souley Dosso, Kim Greenwood, JoAnn Harrold, James R. Green:
Depth Encoding for Neonatal Patient Segmentation. 2993-2999 - Arslan Erdengasileng, Shubo Tian, Sara S. Green, Sylvie Naar, Zhe He:
Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States. 3000-3007 - Gengyuan Guo, Pengzhi Gao, Xiangwei Zheng, Cun Ji:
Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation. 3008-3014 - Koushik Howlader, Lu Liu:
Transfer Learning Pre-training Dataset and Fine-tuning Effect Analysis on Cancer Histopathology Images. 3015-3022 - Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald E. Brown:
Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C. 3023-3030 - Peng Ke, Shuke Xiang, Chenyang Xie, Yunhao Zhang, Zhen He, Zhongnan Zhang:
Unsupervised continual learning of single-cell clustering based on novelty detection and memory replay. 3031-3038 - James Kemp, Christopher Barker, Norm Good, Michael Bain:
Sequential pattern detection for identifying courses of treatment and anomalous claim behaviour in medical insurance. 3039-3046 - Caroline Kohnert, Nox Yu, Paul Rosenberg, Mia Torgerson, Abubakr El Sobky, Ruby ElKharboutly, Sahar Al Seesi:
Comparing Machine Learning Models for Intron Classification. 3047-3054 - Vladimír Kunc, Jirí Kléma:
On functional annotation with gene co-expression networks. 3055-3062 - Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li:
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. 3063-3070 - Wentao Liao, Guoping Xu, Xinglong Wu, Xuan Zhang, Chang Li:
Dual-branch body and boundary supervision network for ultrasound image segmentation. 3071-3077 - Yan Liu, Zheng Liu:
Identification of linear epitope with Multiple Sequence Representation Learning Network. 3078-3084 - Zhendong Liu, Dongyan Li, Xi Chen, Xinrong Lv, Daming Zhu, Xiaofeng Li:
Predicting Algorithm of Transcription Factor Binding Sites Based on Weighted Multi-Grained Scanning. 3085-3092 - Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Daming Zhu, Xiaofeng Li:
Prediction Algorithm of DNA Sites Based on Weighted Feature Matrix. 3093-3100 - Steve Mendoza, Fabien Scalzo, Aichi Chien:
Determining and Validating Population Differences in Magnetic Resonance Angiography Using Sparse Representation. 3101-3108 - Masatoshi Nagata, Keiji Yasuda, Miyuki Nakamura, Masaru Honjo:
Pilot Study of Item Response Theory-based DNA Methylation Analysis for Aging Association. 3109-3113 - Mohammad Iqbal Nouyed, Gianfranco Doretto, Donald A. Adjeroh:
Efficient Classification of Very High Resolution Histopathological Images. 3114-3121 - Rawshon Raha, Yulian Ding, Qiang Liu, Fang-Xiang Wu:
Unseen Epitope-TCR Interaction Prediction based on Amino Acid Physicochemical Properties. 3122-3129 - Aditya Raj, Golrokh Mirzaei:
Multi-armed bandit approach for multi-omics integration. 3130-3136 - Poulami Samaddar, Keerthy Gopalakrishnan, Priyanka Anvekar, Poushali Samadder, Ivone Cristina Igreja E. Sa, Rachel Bayer, Sunil Gaddam, Dipankar Mitra, Sayan Roy, Petra Hirsova, Shivaram Poigai Arunachalam:
Multiclass Classification of Nonalcoholic Steatohepatitis Mouse Models Using Dielectric Properties as Disease Biomarker. 3137-3143 - Dibyendu Bikash Seal, Vivek Das, Rajat K. De:
scARMF: Association Rule Mining-based feature selection Framework for Single-Cell transcriptomics data. 3144-3151 - Masrur Sobhan, Ananda Mohan Mondal:
Explainable Machine Learning to Identify Patient-specific Biomarkers for Lung Cancer. 3152-3159 - Raihanul Bari Tanvir, Masrur Sobhan, Ananda Mohan Mondal:
An Autoencoder Based Bioinformatics Framework for Predicting Prognosis of Breast Cancer Patients. 3160-3166 - Ana Topasna, Eric Xie, Sammy Park, Sophia Huang, Xiaowei Wu, Hehuang Xie:
Determination of Neuron Activation States Facilitated by Artificial Intelligence. 3167-3172 - Artem Voytetskiy, Alan Herbert, Maria Poptsova:
Graph Neural Networks for Z-DNA prediction in Genomes. 3173-3178 - Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan:
A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. 3179-3186 - Xujian Wang, Shenghua Teng, Chenxu Hao, Yan Liu, Ji He, Shuo Zhang, Dongsheng Fan:
Selective ensemble learning for cross-muscle ALS disease identification with EMG signal. 3187-3192 - Weidong Xie, Wei Li, Yushan Fang, Yuhuan Chi, Kun Yu:
A Hybrid Feature Selection Method Based on Binary Differential Evolution and Feature Subset Correlation for Microarray Data*. 3193-3200 - Kaiwen Yang, Aiga Suzuki, Jiaxing Ye, Hirokazu Nosato, Ayumi Izumori, Hidenori Sakanashi:
Multi-task Learning with Consistent Prediction for Efficient Breast Ultrasound Tumor Detection. 3201-3208 - Zhuang Yin, Xiaoli Lin, Xiaolong Zhang:
Towards DDIs Identification by Knowledge Graph with BiRW and Back Aggregation. 3209-3216 - Hang Yu, Qingchen Zhang:
A Deep Reinforcement Computation Model for Sepsis Treatment. 3217-3222 - Lei Zhang, Yijing Yang, Zhe Wang, Dongdong Li, Jingping Liu, Hai Yang:
CFC: a Cascade Forest approach to discover Cancer driver genes using multi-omics data. 3223-3227 - Leilei Zhang, Junfei Liu:
Curriculum Contrastive Learning for COVID-19 FAQ Retrieval. 3228-3234 - Liang Zhao, Rui Lin, Zhuo Liu, Hong Yuan:
Predicting The Likelihood of Patients Developing Sepsis Based on Compound Ensemble Learning. 3235-3241 - Rong Zhu, Hua-Hui Gao, Junliang Shang, Ling-Yun Dai:
KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT. 3242-3247 - Shyam Sundar Das, Geervani Koneti, Narayanan Ramamurthi:
Hybrid Modified League Championship Algorithm and its Applications in Compartmental Pharmacokinetic-Pharmacodynamic Data Analysis. 3248-3251 - Sudhir Ghandikota, Jaswanth K. Yella, Anil G. Jegga:
Multimodal feature learning framework for disease biomarker discovery. 3252-3259 - Szeling Hsu, Sue Qu, Yanji Xu, Qian Zhu:
Semantic Annotation of NIH Funding Data for Supporting Rare Disease Research. 3260-3262 - Devon Leadman, Yanji Xu, Sue Qu, Qian Zhu:
Integrative Rare Disease Profile Creation via NormMap to Advance Rare Disease Research. 3263-3266 - Xiaowei Ma, Jiazheng Zhao, Hang Yan, Boyang Wu, Helin Feng:
Integrated bioinformatics analysis identifies hub genes and pathways involved in the metastasis of synovial sarcoma. 3267-3269 - Jagadeepram Maddipatla:
ClassAphasia: An Ensemble Machine Learning Network to Improve Aphasia Diagnosis and Determine Severity. 3270-3273 - Maryamsadat Mohtashamian, Rashmie Abeysinghe, Xubing Hao, Licong Cui:
Identifying Missing IS-A Relations in Orphanet Rare Disease Ontology. 3274-3279 - Sungrim Moon, Huan He, Hongfang Liu:
Sublanguage Characteristics of Clinical Documents. 3280-3286 - Caleb Pecka, Dhundy Bastola:
Investigating stagnant clinical outcomes after fecal microbiome transplant in autism spectrum disorder. 3287-3294 - Lin Ren, Zhangying Feng:
Network pharmacology-based prediction of underlying mechanisms of Glycyrrhiza uralensis Fisch and Anglica sinensis (Oliv.) Diels in the treatment of breast cancer. 3295-3298 - Alisson Gaspar Chiquitto, Lucas Otávio L. Silva, Liliane S. Oliveira, Douglas Silva Domingues, Alexandre Rossi Paschoal:
Impact of sequencing technologies on long non-coding RNA computational identification. 3299-3306 - Meihong Gao, Xuequn Shang:
Identification of lncRNA-related protein-coding genes using multi-omics data based on deep learning and matrix completion. 3307-3314 - Benjamin Soibam:
Genome-wide compendium of super-long noncoding RNAs during mouse heart development. 3315-3319 - Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun:
MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. 3320-3327 - Siyuan Zhao, Jun Meng, Yushi Luan:
Predicting the interactions between plant lncRNA-encoded peptide and protein using domain knowledge-based prototypical network. 3328-3334 - Yi Ding, Lu Zhao, Liming Yuan, Xianbin Wen:
Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification. 3335-3342 - Hongyu Duan, Feng Li, Xin Chu, Zhensheng Sun, Junliang Shang, Xikui Liu, Yan Li:
scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types. 3343-3350 - Clement Essien, Fei He, Mark Hannink, Mihail Popescu, Dong Xu:
Extraction of Gene Regulatory Relation Using BioBERT. 3351-3355 - David Hoksza, Hamza Gamouh:
Exploration of protein sequence embeddings for protein-ligand binding site detection. 3356-3361 - Hongbi Jeong, Junggab Son, Hyunbum Kim, Kyungtae Kang:
Defensive Adversarial Training for Enhancing Robustness of ECG based User Identification. 3362-3369 - Zepeng Li, Zhengyi An, Wenchuan Cheng, Jiawei Zhou, Bin Hu:
Using Label-text Correlation and Deviation Punishment for Fine-grained Suicide Risk Detection in Social Media. 3370-3377 - Hui Li, Yu Zhang, Jiyang Han, Yu Yan, Yu Liu, Hui Yang:
AdapSQA: Adaptive ECG Signal Quality Assessment Model for Inter-Patient Paradigm using Unsupervised Domain Adaptation. 3378-3384 - Zhe Qu, Lizhen Cui, Yonghui Xu:
Disease Risk Prediction via Heterogeneous Graph Attention Networks. 3385-3390 - Ruqun Song, Xiuquan Du:
Predicting transcription factor binding sites by dual-stream multiple instance learning network. 3391-3398 - Conrad Testagrose, Vikash Gupta, Barbaros S. Erdal, Richard D. White, Robert W. Maxwell, Xudong Liu, Indika Kahanda, Sherif Elfayoumy, William Klostermeyer, Mutlu Demirer:
Impact of Concatenation of Digital Craniocaudal Mammography Images on a Deep-Learning Breast-Density Classifier Using Inception-V3 and ViT. 3399-3406 - Jing Xing, Harold Mouchère:
Contrastive Self-Supervised Learning on Crohn's Disease Detection. 3407-3414 - Lu Zhao, Liming Yuan, Zhenliang Li, Xianbin Wen:
Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification. 3415-3422 - Maytha Alshammari, Jing He, Willy Wriggers:
Refinement of AlphaFold2 Models against Experimental Cryo-EM Density Maps at 4-6Å Resolution. 3423-3430 - Vince N. Busania, Denice Millen C. Canilao, Marla A. Endriga, Enrique Jose L. Frio:
In silico Screening, Docking, and Redesigning of Traditional Chinese Medicinal Compounds Against Streptococcus pneumoniae Glycosyl Hydrolase GHIP and Peptidoglycan Hydrolase LytB. 3431-3437 - Yurim Lee, Kyudam Choi, Cheongwon Kim:
Docking-based Multi-objective Molecular optimization Pipeline using Structure-constrained Genetic Algorithm. 3438-3445 - Jingbo Liang, Bruna Jacobson:
An Efficient Voxel-Based Deep Learning Approach for Ligand Binding Site Detection. 3446-3453 - Yongcheng Mu, Jiangwen Sun, Jing He:
The Combined Focal Cross Entropy and Dice Loss Function for Segmentation of Protein Secondary Structures from Cryo-EM 3D Density maps. 3454-3461 - Bo Pan, Yinkai Wang, Xuanyang Lin, Muran Qin, Yuanqi Du, Shiva Ghaemi, Aowei Ding, Shiyu Wang, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Ashley Ann Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao:
Property-Controllable Generation of Quaternary Ammonium Compounds. 3462-3469 - Taseef Rahman, Fardina Fathmiul Alam, Amarda Shehu:
Equivariant Encoding based GVAE (EqEn-GVAE) for Protein Tertiary Structure Generation. 3470-3477 - Alles Rebel, Ali Risheh, Negin Massoudian, Negin Forouzesh:
Calculating the Binding Entropy of Host-Guest Systems with Physics-Guided Neural Networks. 3478-3485 - Salim Sazzed, Peter Scheible, Jing He, Willy Wriggers:
Tracing Randomly Oriented Filaments in a Simulated Actin Network Tomogram. 3486-3491 - Tuan Tran, Chinwe Ekenna:
Molecular Descriptors Property Prediction via a Natural Language Processing Approach. 3492-3497 - Alistair Turcan, Grant Chou, Lilu Martin, Theo Miller, Dylan Thompson, Filip Jagodzinski:
Exhaustive In-silico Simulation of Single Amino Acid Insertion and Deletion Mutations. 3498-3503 - Aakriti Upadhyay, Chinwe Ekenna:
A geometric and topological analysis of the binding behavior of Intrinsically Disordered Proteins. 3504-3511 - Yinkai Wang, Shiva Ghaemi, Aowei Ding, Yuanqui Du, Bo Pan, Muran Qin, Xuanyang Lin, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Liang Zhao, Amarda Shehu:
Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning. 3512-3519 - Xiangwen Wang, Yonggang Lu, Jianwei Li, Zequn Zhang:
Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder. 3520-3527 - Mengxu Zhu, Kongyan Li, Hong Yan:
Computational Analysis of Receptor-Binding Domains of SARS-CoV-2 to Reveal the Mechanism of Immune Escape. 3528-3534 - A Hasitha Kuruwita, Shu-Kay Ng, Alan Wee-Chung Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke J. Haseler, Meghan McConnell, Ping Zhang:
Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. 3535-3540 - Tahera Ahmed, Ping Zhang, Kuldeep Kumar:
Dietary Balance in Alzheimer's Patients vs. Healthy People. 3541-3548 - Avisa Maleki, Alvaro Ras-Carmona, Valentina Di Salvatore, Giulia Russo, Elena Crispino, Francesco Pappalardo:
Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern. 3549-3551 - Nandu Chandran Nair, Elena Crispino, Avisa Maleki, Valentina Di Salvatore, Giulia Russo, Maria Adelaida Gomez, Francesco Pappalardo:
Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator. 3552-3555 - Huber Nieto-Chaupis:
Success and Fail at the Internalization and Expelling of Nanoparticles off Tumor Cells Through Electrodynamics and Diffusion Equation. 3556-3561 - Paul Richmond, Matthew Leach, Peter Heywood, Francesco Pappalardo, Giulia Russo, Marzio Pennisi:
UISS-GPU: Accelerated In-Silico Tuberculosis Vaccine Trials Using FLAME GPU. 3562-3568 - Wolfgang Schreiner, Rudolf Karch, Michael Cibena, Lisa Tomasiak, Michael Kenn, Georg Pfeiler:
The Performance of UMAP plus Linkage Compared with Daura-Clustering of Molecular Dynamics of the PD-1 Checkpoint Receptor. 3569-3573 - Stuart Aldrich, Micheal Olaolu Arowolo, Fei He, Mihail Popescu, Dong Xu:
Comprehensive Assessment of OCR Tools for Gene Name Recognition in Biological Pathway Figures. 3574-3579 - Jeffrey M. Page, Matthew C. Morris, Gary R. Skuse, Gordon Broderick:
Refinement of Biological Regulatory Graphs using Functional Enrichment. 3580-3586 - Md Ashaduzzman, Vidya Bommanapally, Mahadevan Subramaniam, Parvathi Chundi, Jawahar Kalimuthu, Suvarna Talluri, Ramana Gadhamshetty:
Using Deep Learning Super-Resolution for Improved Segmentation of SEM Biofilm Images. 3587-3593 - Piyush Basia, Tae-Hyuk Ahn, Myoungkyu Song:
An IDE Support for Validating Machine Learning Applications in Bioengineering Text Corpora. 3594-3595 - Alain Bertrand Bomgni, Ernest Basile Fotseu Fotseu, Daril Raoul Kengne Wambo, Rajesh Kumar Sani, Carol Lushbough, Etienne Z. Gnimpieba:
Attention model-based and multi-organism driven gene recognition from text: application to a microbial biofilm organism set. 3596-3598 - Vidya Bommanapally, Md Ashaduzzman, Mahadevan Subramaniam, Suvarna Talluri, Venkataramana Gadhamshetty:
Leveraging Weak annotations for Deep learning tasks on Biofilm Images. 3599-3601 - Bichar Dip Shrestha Gurung, Ramesh Devadig, Tuyen Do, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba:
U-Net Based Image Segmentation Techniques for Development of Non-Biocidal Fouling-Resistant Ultra-Thin Two-dimensional (2D) Coatings. 3602-3604 - Sam Haas, Timothy W. Hartman, Bichar Dip Shrestha Gurung, Tuyen Do, Rajesh Kumar Sani, Venkataramana Gadhamshetty, Etienne Z. Gnimpieba:
Using BASIN-ML for Machine Learning-Based Statistical Analysis and Reporting for Biofilm Datasets. 3605-3607 - Pei-Chi Huang, Ejan Shakya, Myoungkyu Song, Mahadevan Subramaniam:
BioMDSE: A Multimodal Deep Learning-Based Search Engine Framework for Biofilm Documents Classifications. 3608-3612 - Ram Nageena Singh, Etienne Z. Gnimpieba, Rajesh Kumar Sani:
Title: Challenges in single cells sequencing Microbial community and biofilm: A case of Oleidesulfovibrio alaskensis G20 NGS protocol. 3613-3615 - Timothy James Becker, Dashzeveg Bayarsaihan, Dong-Guk Shin:
A framework for associating structural variants with cell-specific transcription factors and histone modifications in defect phenotypes. 3616-3621 - Gabrielle Dagasso, Matthias Wilms, Nils D. Forkert:
A morphometrics approach for inclusion of localised characteristics from medical imaging studies into genome-wide association studies. 3622-3628 - Wei Wang, Xiaolin Jiao, Bin Sun, Shihao Liang, Xianfang Wang, Yun Zhou:
DeepGenBind: a novel deep learning model for predicting transcription factor binding sites. 3629-3635 - Guangkun Chen, Lin Tong, Jinglin Wang, Yu Zhang, Sihong Liu, Lei Zhang, Zihan Jia, Hongtao Li:
Analysis on Treatment of Brucellosis Based on the Theory of Fuxie Warm Disease and Arthralgia. 3636-3641 - Zhiming Gao, Yuanjun Zou:
Mechanism of Cold-Dampness Epidemic Prescription in Treatment of Novel Coronavirus Pneumonia Based on Network Pharmacology. 3642-3649 - Qian Hao, Shuang Zhang, Ruiguo Li, Xu Wang, Shiyao Chen, Rufan Cao, Liangqing Guo, Xiaochun Han:
Mechanism of Qiwei Baizhu San in the Treatment of T2DM by Regulating Liver miRNA. 3650-3654 - Yajie He, Yanbo Wang, Jingwen Xu, Zhiming Gao, Huaizhong Yang:
Network Pharmacology and Molecular Docking Technology Analysis of the Mechanism of Lichong Decoction in the Treatment of Uterine Leiomyoma. 3655-3661 - Zihan Jia, Lei Zhang, Guangkun Chen, Yu Zhang, Ziling Zeng, Xiang Li, Lin Wang, Lin Tong, Huamin Zhang:
Study on Traditional Chinese Medical (TCM) Treatment Rules of Scarlet Fever Based on Data Mining of TCM Classics. 3662-3668 - Mingxuan Jia, Yun Xiao, Jingying Zhang, Lei Zhang, Mingxuan Liu, Yuchuan Wang, Jieyi Li, Yong Wang:
Chinese Medicine Tongue Recognition under Data Scarcity Based on the Xingbaohui Platform. 3669-3673 - Zhongwen Lu, Shuang Zhang, Fei Teng, Xuanhe Tian, Xijian Liu, Xiaochun Han:
The Mechanism of Action of Network Pharmacology Integrated with Molecular Docking to Explore Wumei Pills in Treating Gastric Cancer. 3674-3679 - Huber Nieto-Chaupis:
Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic. 3680-3685 - Huber Nieto-Chaupis:
Neurogenesis Based in Quantum Mechanics Governed by Ions Interaction and Coherent States. 3686-3691 - Xiangxiang Shao, Caiyan Dai, Kongfa Hu:
Research on Question Answering of Lung Cancer Based on Knowledge Graph. 3692-3696 - Dongyang Suo, Zhiming Gao, Yuanjun Zou:
Medication Rules and Mechanism of Action for the Treatment of Lung Abscess of Ancient Prescription Based on Data Mining and Network Pharmacology. 3697-3703 - Teng Teng, Xuebo Li:
Data Mining and Analysis of The Medical Records of Chinese Medical Master Li Zhenhua in The Treatment of Spleen and Stomach Diseases. 3704-3708 - Fei Teng, Liangqing Guo, Zhongwen Lu, Qian Hao, Shuang Zhang, Xiaochun Han:
Transcriptome Sequencing to Explore the Mechanism of Qiwei Baizhu San in Treating T2DM. 3709-3714 - Yu Tian, Qi Xie, Runshun Zhang, Xuezhong Zhou, Tiancai Wen, Lei Zhang, Xingping Zhang, Bin Wang, Xu Miao, Jie Yang, Baoyan Liu:
Research and Implementation of Real World Traditional Chinese Medicine Clinical Scientific Research Information Electronic Medical Record Sharing System. 3715-3718 - Lin Tong, Guangkun Chen, Yan Ma, Yu Zhang, Xiang Li, Xixi Cao, Lei Zhang, Hongtao Li:
Data Mining and Analysis of Prescription Rules for Plague in Ancient Books of Case Records of Qing Dynasty. 3719-3726 - Zhe Wang, Lihong Liu, Keyu Yao, Junhui Wang, Yan Zhu:
TCM-SAS: A Semantic Annotation System and Knowledgebase of Traditional Chinese Medicine. 3727-3732 - Shuang Wu, Xuhong Jiang, Jie Luo:
A Study on the English Translation of the Articles on Tremor Syndrome in Golden Chamber Synopsis from the Perspective of Polysystem Theory. 3733-3736 - Tianqi Yang, Shimin Zhang, Yuqing Li:
A Study on the Distribution and Influencing Factors of the Origin of Plant Herbs in Compendium of Materia Medica. 3737-3743 - Shimin Zhang, Tianqi Yang, Yuqing Li:
Digitalization Research on Ancient Physicians' Application of Zhaohai Based on Internet plus. 3744-3751 - Ruyi Zhang, Pan Zhang, Yan Wang:
Design and Implementation of Data Analysis and Retrieval System for Chinese Traditional Patent Medicine. 3752-3756 - Yu Zhang, Lin Tong, Guangkun Chen, Xiang Li, Hongtao Li:
Study on the treatment rules of primary epilepsy of treated by National TCM Master Yu Ying-ao. 3757-3764 - Xiumei Zhang, Jinjie Xu, Dongfang Ji, Guang Zheng:
The Potential Regulation Networks of A Core Formula of Chinese Medicine Against Insomnia. 3765-3771 - Xiaowei Zhong, Hanqing Ma:
Application research of "5G + Chinese medicine service" in the prevention and control of COVID-19 epidemic. 3772-3775 - Xiaolan Zou, Xiaorui Hou, Zhiming Gao, Guifang Hu, Yuanjun Zou:
Medication Rule and Mechanism of Action for the Treatment of Mumps Based on Data Mining and Network Pharmacology. 3776-3781 - Shafayat Ahmed, Muhit Islam Emon, Nazifa Ahmed Moumi, Liqing Zhang:
LM-ARG: Identification & classification of antibiotic resistance genes leveraging pre-trained protein language models. 3782-3784 - Qiushi Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng:
Scoliosis Detection with Convolutional Neural Networks. 3785-3787 - Emma Chen, Rory Liao, Mikhail Y. Shalaginov, Tingying Helen Zeng:
Real-time Detection of Acute Lymphoblastic Leukemia Cells Using Deep Learning. 3788-3790 - Yibo Chen, Dong Xu, Mihail Popescu:
Integration of Gene Regulatory Pathways Found in the Literature in a Graph Database. 3791-3793 - Zihao Chen, Lei Duan, Chengxin He, Yuening Qu, Yidan Zhang:
Efficient Gene Community Search to Discover Similar Aspects for Similarity Explanation. 3794-3796 - Jie Chen, Ting-Bo Chen, Chen-Qiu Zhang, Ling-Yan Gu, Jia Wang, Yao-Xing Wu, Jian-Qiang Li:
Capsulated Graph Neural Network for Ubiquitylation Sites Prediction. 3797-3799 - Cecilia Ehrlichman, Layla Oesper:
Combining Distance Measures on Tumor Evolutionary Trees. 3800 - Abdurrahman Elbasir, Ying Ye, Daniel E. Schäffer, Jayamanna Wickramasinghe, Xue Hao, Paul M. Lieberman, Quaid Morris, Rugang Zhang, Alejandro A. Schäffer, Noam Auslander:
Characterizing The Landscape Of Viral Expression In Cancer By Deep Learning. 3801-3803 - Min Fu, Lei Duan, Weipeng Jiang, Yuening Qu:
DEAL: Construction of a Disease-aware Human Cell Knowledge Graph from Biomedicine Literature. 3804-3806 - Hongtao Guo, Cancan Shao, Wen Fu, Guang Zheng:
The Chinese Medicines of Integrated Therapies Against Rheumatoid Arthritis Retard Osteoporosis. 3807-3809 - Pietro Hiram Guzzi, Francesca Cortese, Gaia Chiara Mannino, Elisabetta Pedace, Francesco Andreozzi, Pierangelo Veltri:
A network-based analysis of genes related to comorbidities in diabetes. 3810-3812 - Itsuki Hirahata, Laijun Yang, Ken'ichi Yano, Katsuhiko Torii:
Standing Support Robot for Recovery of Lower Limb Function and Evaluation of Caregiver's Burden by Measuring Biological Signals. 3813-3814 - Jun Huang, He Xiao, Qingfeng Wang, Zhiqin Liu, Bo Chen, Yaobin Wang, Ping Zhang, Ying Zhou:
Local-Whole-Focus: Identifying Breast Masses and Calcified Clusters on Full-Size Mammograms. 3815-3817 - Inseung Hwang, Jaeyeon Jang, Kwangsoo Kim, Hye-Yeong Jo, Sang Cheol Kim, Inuk Jung:
Measuring single-cell level gene expression stability and variability in healthy and severe COVID-19 patients using Kullback-Leibler divergence. 3818-3820 - Ruiqi Jia, Wentao Xie, Baole Wei, Guanren Qiao, Zonglin Yang, Xiaoqing Lyu, Zhi Tang:
Molecular Formula Image Segmentation with Shape Constraint Loss and Data Augmentation. 3821-3823 - Lei Jiang, Yuexu Jiang, Cankun Wang, Clement Essien, Juexin Wang, Anjun Ma, Qin Ma, Dong Xu:
Machine learning development environment for single-cell sequencing data analyses. 3824-3826 - Yejin Kan, Dongyeon Kim, Gangman Yi:
A Novel Gap-Filling Method Based on Hybrid Read Information Analysis. 3827-3829 - Kentaro Kaneko, Songzhi Chen, Zu Soh, Takafumi Sasaoka, Yuu Minematsu, Hikaru Momose, Takahide Nozawa, Toshio Tsuji:
Autonomic Nervous Response to γ-Undecalactone Odor and its Relation to Subjective Evaluation. 3830-3831 - Younghoon Kim:
Developing global gene regulatory network inference method for investigating disease genes using High-Performance Computing resources. 3832 - Hakdong Kim, Taeheul Jun, Byung Gyu Chae, Hyun-Eui Kim, MinSung Yoon, Cheongwon Kim:
Deep learning-based 3D refractive index generation for live blood cell. 3833-3835 - Younghoon Kim:
Classification of multiple cancer types from transcriptome profiles using convolutional neural networks. 3836 - Geervani Koneti, Mastan Vali Shaik, Shyam Sundar Das, Narayanan Ramamurthi:
Parallelized Population Based Exhaustive Replacement Method for Reproducible Features Selection and Its Applications in Drug Discovery. 3837-3839 - Geervani Koneti, Shyam Sundar Das, Jyotsna Bahl, Pritish Ranjan, Narayanan Ramamurthi:
Discovering the Knowledge in Unstructured Early Drug Development Data Using NLP and Advanced Analytics. 3840-3842 - Vivian Liu, Mikhail Y. Shalaginov, Rory Liao, Tingying Helen Zeng:
A Deep Convolutional Neural Network For Diagnosis of Diabetic Retinopathy. 3843-3845 - Hongbin Lu, Dingxin Song, Yu Zhu, Lishuang Li:
Drug-Drug Interaction Extraction Using Drug Knowledge Graph. 3846-3848 - Mingjia Ma, Ian Hou, Jeslyn Gao, Chang Li, Yongsheng Bai, Xiaoming Liu:
A Bioinformatics Pipeline for the identification of disease-causing variants in humans that can change protein structure. 3849-3851 - Quan Mai, Ukash Nakarmi, Miaoqing Huang:
BrainVGAE: End-to-End Graph Neural Networks for Noisy fMRI Dataset. 3852-3855 - Negin Manshour, Yang Yu, Wenyuan Qin, Fei He, Duolin Wang, Dong Xu:
Evaluating template-based and template-free protein-peptide complex structure prediction using AlphaFold2. 3856 - Saki Maruko, Zu Soh, Shin Wakitani, Masayuki Yoshida, Toshio Tsuji:
Estimation of Swimming Position of Zebrafish using a Spatial Distribution Model of Ventilatory Signals. 3857-3858 - Chérubin Mugisha, Incheon Paik:
Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER. 3859-3861 - Quoc Nguyen, Layla Oesper:
An Approach to Relax the Infinite Sites Assumption in Tumor Phylogeny Distance Measures. 3862-3863 - Sagar Patel, Chathurani Ranathunge, Lubna Pinky, Julius Nyalwidhe, O. John Semmes, Robert K. Armstrong, C. Donald Combs:
PROMOR App: A web application for label-free quantification (LFQ) proteomics data analysis and predictive modeling. 3864-3866 - Rizwan Qureshi, Tanvir Alam, Jia Wu:
Drug response prediction for lung cancer patients using biophysical simulation and machine learning. 3867-3869 - Anish Salvi, Raj Shah, Luke Higgins, Prahlad G. Menon:
Vision Transformers for AI-Driven Classification of Peripheral Artery Disease from Maximum Intensity Projections of Runoff CT Angiograms. 3870-3872 - Anish Salvi, Ender Finol, Prahlad G. Menon:
3D Segmentation of Abdominal Aortic Aneurysm Walls from CT Angiograms. 3873-3875 - Fatemeh Shah-Mohammadi, Joseph Finkelstein:
Using NLP for Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation. 3876-3878 - Ivaná Sixtova, Tomás Skopal, David Hoksza, Jakub Matejík, Tomás Uher:
Machine and human interpretable patient visualizations. 3879-3881 - Matthew Smith-Erb, Ziyun Guang, Layla Oesper:
Deriving consensus tumor trees using integer linear programming. 3882-3883 - Kai Xiang Sun, Chao Cong:
Research On Chest Abnormality Detection Based On Improved YOLOv7 Algorithm. 3884-3886 - Zhan Tang, Xupeng Kou, Houwei Feng, Dejian Cui, Weie Jia, Lin Li:
Semi-Supervised Protein-Protein Interactions Extraction Method Based on Knowledge Distillation and Virtual Adversarial Training. 3887-3889 - Tu Tu, Jing Zhang, Yue Wang, Hui Jin, Megan Weihong He:
MULABS: Multi-Task Learning with Attention-Based Scoring for Click-Through Rate Prediction on Sparse Data in Healthcare Real-World Scenarios. 3890-3892 - Thi Thuy Duong Vu, Jaehee Jung:
Gene Ontology based protein functional annotation using pretrained embeddings. 3893-3895 - Qingxiang Wang, Ningyu Liu:
Speech Detection of Depression Based on Multi-mlp. 3896-3898 - Aiguo Wang, Jingyu Yan, Zhongyu Luo:
Evaluating Stability of Feature Selectors: Adjusted Measures Considering Feature Correlations. 3899-3901 - Baole Wei, Ruiqi Jia, Shihan Fu, Xiaoqing Lyu, Liangcai Gao, Zhi Tang:
MIR: A Benchmark for Molecular Image Retrival with a Cross-modal Pretraining Framework. 3902-3904 - Zhenggui Xiang:
Risk Prediction on the Elderly' Check-out from a Continuing Care Retirement Community. 3905-3907 - Qi Zhang, Jianhang Zhou, Bob Zhang:
Multi-feature representation for fatty liver disease detection with breath sample analysis. 3908-3910 - Chaoran Zhang, Xiangfeng Yan, Yong Liu:
Pseudo-Siamese Neural Network Based Graph and Sequence Representation Learning for Molecular Property Prediction. 3911-3913 - Liang Zhao, Yu Shao, Chaoran Jia, Jiajun Ma:
Time-series lung cancer CT dataset. 3914-3915 - Bochao Zou, Dongyue Lv, Xiang-wen Lyu:
Feature Signal Resampling for rPPG-based Remote Cardiac Pulse Measurement with Streaming Video. 3916-3918 - Lin Xi, Xiangyang Yuan, Jing Liu, Xiaoqin Tang:
Four potential prognostic markers for breast cancer identified by hybrid gene and module expression analysis. 1-8
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