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Muhammad Shaban
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2020 – today
- 2023
- [i10]Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson
, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood:
A General-Purpose Self-Supervised Model for Computational Pathology. CoRR abs/2308.15474 (2023) - 2022
- [c10]Raja Muhammad Saad Bashir
A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images. MIUA 2022: 425-439 - 2021
- [c9]Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood:
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. MICCAI (8) 2021: 339-349 - [c8]Rawan Albusayli, J. Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas
Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. Medical Imaging: Digital Pathology 2021 - [i9]Muhammad Shaban, Shan E Ahmed Raza, Mariam Hassan, Arif Jamshed, Sajid Mushtaq, Asif Loya, Nikolaos Batis
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. CoRR abs/2104.12862 (2021) - [i8]Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood:
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. CoRR abs/2107.13048 (2021) - [i7]Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipková, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood:
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. CoRR abs/2108.02278 (2021) - 2020
- [b1]Muhammad Shaban:
Spatial context in computational pathology. University of Warwick, Coventry, UK, 2020 - [j4]M. M. Fraz
FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. Neural Comput. Appl. 32(14): 9915-9928 (2020) - [j3]Muhammad Shaban
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. IEEE Trans. Medical Imaging 39(7): 2395-2405 (2020) - [c7]Raja Muhammad Saad Bashir, Hanya Mahmood
Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. Medical Imaging: Digital Pathology 2020: 1132011
2010 – 2019
- 2019
- [j2]Muhammad Shaban
An information fusion framework for person localization via body pose in spectator crowds. Inf. Fusion 51: 178-188 (2019) - [j1]Shan E Ahmed Raza
Micro-Net: A unified model for segmentation of various objects in microscopy images. Medical Image Anal. 52: 160-173 (2019) - [c6]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. ICCV Workshops 2019: 388-398 - [i6]Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, Nasir M. Rajpoot:
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1907.09478 (2019) - [i5]Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot:
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. CoRR abs/1909.01068 (2019) - 2018
- [c5]Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot
Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. ICIAR 2018: 788-795 - [c4]Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban
Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. COMPAY/OMIA@MICCAI 2018: 139-147 - [c3]M. M. Fraz
Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. COMPAY/OMIA@MICCAI 2018: 156-164 - [c2]Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot
Classification of lung cancer histology images using patch-level summary statistics. Medical Imaging: Digital Pathology 2018: 1058119 - [c1]Najah M. Alsubaie, Muhammad Shaban, David R. J. Snead, Syed Ali Khurram, Nasir M. Rajpoot
A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. MIUA 2018: 3-11 - [i4]Ruqayya Awan, Navid Alemi Koohbanani, Muhammad Shaban, Anna Lisowska, Nasir M. Rajpoot:
Context-Aware Learning using Transferable Features for Classification of Breast Cancer Histology Images. CoRR abs/1803.00386 (2018) - [i3]Shan-E-Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot:
Micro-Net: A unified model for segmentation of various objects in microscopy images. CoRR abs/1804.08145 (2018) - [i2]Quoc Dang Vu, Simon Graham, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Tahsin M. Kurç, Keyvan Farahani, Tianhao Zhao, Rajarsi R. Gupta, Jin Tae Kwak, Nasir M. Rajpoot, Joel H. Saltz:
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR abs/1810.13230 (2018) - 2017
- [i1]Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. CoRR abs/1707.08814 (2017)
Coauthor Index
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