Muhammad Shaban

According to our database, Muhammad Shaban authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood

CoRR, 2023

2022

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

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

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

CoRR, 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, Syed Ali Khurram, Nasir M. Rajpoot

CoRR, 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

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Spatial context in computational pathology.

Muhammad Shaban

PhD thesis, 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

FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer.

M. M. Fraz, Syed Ali Khurram, Simon Graham, Muhammad Shaban, Mariam Hassan, Asif Loya, Nasir M. Rajpoot

Neural Comput. Appl., 2020

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

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

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

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

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

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.

Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir M. Rajpoot

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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, Nasir M. Rajpoot, Joel H. Saltz

CoRR, 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

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Classification of lung cancer histology images using patch-level summary statistics.

Simon Graham, Muhammad Shaban, Talha Qaiser, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Significance of Hyperparameter Optimization for Metastasis Detection in Breast Histology Images.

Navid Alemi Koohbanani, Talha Qaiser, Muhammad Shaban, Jevgenij Gamper, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Uncertainty Driven Pooling Network for Microvessel Segmentation in Routine Histology Images.

M. M. Fraz, Muhammad Shaban, Simon Graham, Syed Ali Khurram, Nasir M. Rajpoot

Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

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

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images.

Abhinav Agarwalla, Muhammad Shaban, Nasir M. Rajpoot

CoRR, 2017