Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images. - Abhinav Agarwalla; Muhammad Shaban; Nasir M. Rajpoot (CoRR, 2017)

Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images. - Ruqayya Awan; Navid Alemi Koohbanani; Muhammad Shaban; Anna Lisowska; Nasir M. Rajpoot (ICIAR, 2018)

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images. - M. M. Fraz 001; Muhammad Shaban; Simon Graham; Syed Ali Khurram; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images. - Navid Alemi Koohbanani; Talha Qaiser; Muhammad Shaban; Jevgenij Gamper; Nasir M. Rajpoot (COMPAY/OMIA@MICCAI, 2018)

Classification of lung cancer histology images using patch-level summary statistics. - Simon Graham; Muhammad Shaban; Talha Qaiser; Syed Ali Khurram; Nasir M. Rajpoot (Digital Pathology, 2018)

A Multi-resolution Deep Learning Framework for Lung Adenocarcinoma Growth Pattern Classification. - Najah M. Alsubaie; Muhammad Shaban; David R. J. Snead; Syed Ali Khurram; Nasir M. Rajpoot (MIUA, 2018)

Methods for Segmentation and Classification of Digital Microscopy Tissue Images. - 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; et al. (CoRR, 2018)

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images. - Yanning Zhou 001; Simon Graham; Navid Alemi Koohbanani; Muhammad Shaban; Pheng-Ann Heng; Nasir M. Rajpoot (ICCV Workshops, 2019)

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. - Muhammad Shaban; Ruqayya Awan; Muhammad Moazam Fraz; Ayesha Azam; David R. J. Snead; Nasir M. Rajpoot (CoRR, 2019)

An information fusion framework for person localization via body pose in spectator crowds. - Muhammad Shaban; Arif Mahmood; Somaya Ali Al-Máadeed; Nasir M. Rajpoot (Inf. Fusion, 2019)

Micro-Net: A unified model for segmentation of various objects in microscopy images. - Shan E Ahmed Raza; Linda Cheung; Muhammad Shaban; Simon Graham; David B. A. Epstein; Stella Pelengaris; Michael Khan; Nasir M. Rajpoot (Medical Image Anal., 2019)

Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images. - Raja Muhammad Saad Bashir; Hanya Mahmood; Muhammad Shaban; Shan-E-Ahmed Raza; Muhammad Moazam Fraz; Syed Ali Khurram; Nasir M. Rajpoot (Digital Pathology, 2020)

FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer. - M. M. Fraz 001; Syed Ali Khurram; Simon Graham; Muhammad Shaban; Mariam Hassan; Asif Loya; Nasir M. Rajpoot (Neural Comput. Appl., 2020)

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images. - Muhammad Shaban; Ruqayya Awan; Muhammad Moazam Fraz; Ayesha Azam; Yee-Wah Tsang; David R. J. Snead; Nasir M. Rajpoot (IEEE Trans. Medical Imaging, 2020)

Spatial context in computational pathology. - Muhammad Shaban (2020)

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. - Richard J. Chen; Ming Y. Lu; Muhammad Shaban; Chengkuan Chen; Tiffany Y. Chen; Drew F. K. Williamson; Faisal Mahmood 001 (MICCAI (8), 2021)

Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images. - Rawan Albusayli; J. Dinny Graham; Nirmala Pathmanathan; Muhammad Shaban; Fayyaz Minhas; Jane E. Armes; Nasir M. Rajpoot (Digital Pathology, 2021)

A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. - Muhammad Shaban; Shan E Ahmed Raza; Mariam Hassan; Arif Jamshed; Sajid Mushtaq; Asif Loya; Nikolaos Batis; Jill Brooks; Paul Nankivell; Neil Sharma; Max Robinson; Hisham Mehanna; et al. (CoRR, 2021)

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. - 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 001 (CoRR, 2021)

A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images. - Raja Muhammad Saad Bashir; Muhammad Shaban; Shan E Ahmed Raza; Syed Ali Khurram; Nasir M. Rajpoot (MIUA, 2022)

A General-Purpose Self-Supervised Model for Computational Pathology. - 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; et al. (CoRR, 2023)

Multimodal Whole Slide Foundation Model for Pathology. - Tong Ding; Sophia J. Wagner; Andrew H. Song; Richard J. Chen; Ming Y. Lu; Andrew Zhang; Anurag J. Vaidya; Guillaume Jaume; Muhammad Shaban; Ahrong Kim; Drew F. K. Williamson; Bowen Chen; et al. (CoRR, 2024)

A Foundation Model for Spatial Proteomics. - Muhammad Shaban; Yuzhou Chang; Huaying Qiu; Yao Yu Yeo; Andrew H. Song; Guillaume Jaume; Yuchen Wang; Luca L. Weishaupt; Tong Ding; Anurag Vaidya; Abdallah Lamane; Daniel Shao; et al. (CoRR, 2025)