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2020 – today
- 2026
[j2]Siyavash Shabani, Sahar A. Mohammed, Muhammad Sohaib, Bahram Parvin:
MACA-Net: Multi-aperture curvature aware network for instance-nuclei segmentation. Biomed. Signal Process. Control. 112: 108711 (2026)- 2025
- [j1]Muhammad Sohaib
, Siyavash Shabani, Sahar A. Mohammed, Bahram Parvin:
3D-Organoid-SwinNet: High-Content Profiling of 3D Organoids. IEEE J. Biomed. Health Informatics 29(2): 792-798 (2025) - [c4]Siyavash Shabani, Sahar A. Mohammed, Bahram Parvin:
A Novel 3D Decoder with Weighted and Learnable Triple Attention for 3D Microscopy Image Segmentation. CVPR Workshops 2025: 4699-4708 - [c3]Sahar A. Mohammed, Siyavash Shabani, Muhammad Sohaib, Corina Nicolescu, Mary Helen Barcellos-Hoff, Bahram Parvin:
Logsage: Log-Based Saliency for Guided Encoding in Robust Nuclei Segmentation of Immunofluorescence Histology Images. ISBI 2025: 1-5 - [c2]Siyavash Shabani, Muhammad Sohaib, Sahar A. Mohammed, Bahram Parvin:
Coupled Swin Transformers and Multi-Apertures Network(CSTA-NET) Improves Medical Image Segmentation. ISBI 2025: 1-5 - [c1]Muhammad Sohaib, Siyavash Shabani, Sahar A. Mohammed, Garrett Winkelmaier, Bahram Parvin:
Multi-Aperture Transformers for 3D (MAT3D) Segmentation of Clinical and Microscopic Images. WACV 2025: 4352-4361 - 2024
- [i1]Siyavash Shabani, Muhammad Sohaib, Sahar A. Mohammed, Bahram Parvin:
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization. CoRR abs/2406.17080 (2024)
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