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ORCIDCOMPAY@MICCAI 2024: Marrakesh, Morocco
- Francesco Ciompi, Nadieh Khalili, Linda Studer, Milda Poceviciute, Amjad Khan, Mitko Veta, Yiping Jiao, Neda Haj-Hosseini, Hao Chen, Shan Raza, Fayyaz Minhas, Inti Zlobec, Nikolay Burlutskiy, Veronica Vilaplana, Biagio Brattoli, Henning Müller, Manfredo Atzori:
Proceedings of the MICCAI Workshop on Computational Pathology, Marrakesh, Morocco, 6 October 2024. Proceedings of Machine Learning Research 254, PMLR 2024 - Hassan Keshvarikhojasteh, Josien P. W. Pluim, Mitko Veta:
Multi-head Attention-based Deep Multiple Instance Learning. 1-12 - Etienne Pochet, Luis Cano Ayestas, Alhassan Cassé, Qi Tang, Roger Trullo:
Lymphocytes subtyping on H&E slides with automatic labelling through same-tissue stained ImmunoFluorescence images. 13-24 - Hong Liu, Haosen Yang, Paul J. van Diest, Josien P. W. Pluim, Mitko Veta:
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images. 25-37 - Shengjia Chen, Gabriele Campanella, Abdulkadir Elmas, Aryeh Stock, Jennifer Zeng, Alexandros D. Polydorides, Adam J. Schoenfeld, Kuan-Lin Huang, Jane Houldsworth, Chad Vanderbilt, Thomas J. Fuchs:
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective. 38-50 - Dawei Fan, Yifan Gao, Jiaming Yu, Changcai Yang, Riqing Chen, Lifang Wei:
CDNet: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation. 51-60 - Ruben T. Lucassen, Tijn van de Luijtgaarden, Sander P. J. Moonemans, Willeke A. M. Blokx, Mitko Veta:
Preprocessing Pathology Reports for Vision-Language Model Development. 61-71 - Faruk Ahmed, Andrew Sellergren, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Gregory S. Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn:
PathAlign: A vision-language model for whole slide images in histopathology. 72-108 - Oded Ben-David, Elad Arbel, Daniela Rabkin, Itay Remer, Amir Ben-Dor, Sarit Aviel-Ronen, Frederik Aidt, Tine Hagedorn-Olsen, Lars Jacobsen, Kristopher Kersch, Anya Tsalenko:
Deep-Learning Based Virtual Stain Multiplexing Immunohistochemistry Slides - a Pilot Study. 107-120 - Tan H. Nguyen, Dinkar Juyal, Jin Li, Aaditya Prakash, Shima Nofallah, Chintan Shah, Sai Chowdary Gullapally, Limin Yu, Michael Griffin, Anand Sampat, John Abel, Justin Lee, Amaro Taylor-Weiner:
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology. 121-130 - Reed Naidoo, Olga Fourkioti, Matt De Vries, Chris Bakal:
SurvivMIL: A Multimodal, Multiple Instance Learning Pipeline for Survival Outcome of Neuroblastoma Patients. 131-141 - Shubham Innani, MacLean P. Nasrallah, W. Robert Bell, Bhakti Baheti, Spyridon Bakas:
Multi-scale Whole Slide Image Assessment Improves Deep Learning based WHO 2021 Glioma Classification. 142-153 - Thiziri Nait Saada, Valentina Di Proietto, Benoit Schmauch, Katharina von Loga, Lucas Fidon:
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images. 154-169 - Marc Robbins, Jessica Loo, Saurabh Vyawahare, Yang Wang, Carson McNeil, David F. Steiner, Sudha Rao, Pok Fai Wong, Ehud Rivlin, Shamira Weaver, Roman Goldenberg:
Prediction of KRAS mutation status from H&E foundation model embeddings in non-small cell lung cancer. 170-179 - Ali Alhaj Abdo, Islem Mhiri, Zeeshan Nisar, Barbara Seeliger, Thomas Andrew Lampert:
StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation. 180-191 - Christoforos Spyretos, Iulian Emil Tampu, Nadieh Khalili, Juan Manuel Pardo Ladino, Per Nyman, Ida Blystad, Anders Eklund, Neda Haj-Hosseini:
Early Fusion of H&E and IHC Histology Images for Pediatric Brain Tumor Classification. 192-202 - Agata Polejowska, Annemarie Boleij, Francesco Ciompi:
Histopathobiome - integrating histopathology and microbiome data via multimodal deep learning. 203-213 - Matteo Pozzi, Natalie Klubickova, Michela Campora, Frédérique Meeuwsen, Joey Spronck, Carlijn M. Lems, Michelle Stegeman, Leslie Tessier, Mattia Barbareschi, Jeroen van der Laak, Giuseppe Jurman, Francesco Ciompi:
Scoring Tumor-Infiltrating Lymphocytes in breast DCIS: A guideline-driven artificial intelligence approach. 214-225 - Yaying Shi, Srijan Das, Yonghong Yan:
Upscaling Prostate Cancer MRI Images to Cell-level Resolution Using Self-supervised Learning. 226-236 - David Montalvo-García, Juan E. Ortuño, Ana D. Ramos-Guerra, Sofía Granados-Aparici, Subhra S. Goswami, Pablo Santiago Diaz, Maria Evangelina Patriarca-Amiano, Joan Lop Gros, Lidia Estudillo, Mar Iglesias Coma, Rosa Noguera, Núria Malats, María J. Ledesma-Carbayo:
Stromal Tissue Segmentation in Multi-Stained Serial Histopathological Sections of Pancreatic Tumors. 237-248
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