Publications

2021
Hanya Mahmood, Muhammad Shaban, Nasir Rajpoot, and Syed A Khurram. 2021. “Artificial Intelligence-based methods in head and neck cancer diagnosis: an overview.” British Journal of Cancer, Pp. 1–7.
Ruqayya Awan, Ksenija Benes, Ayesha Azam, Tzu-Hsi Song, Muhammad Shaban, Clare Verrill, Yee Wah Tsang, David Snead, Fayyaz Minhas, and Nasir Rajpoot. 2021. “Deep Learning based Digital Cell Profiles for Risk Stratification of Urine Cytology Images.” Cytometry Part A.
Muhammad Shaban, Shan Ahmed e Raza, Mariam Hassan, Arif Jamshed, Sajid Mushtaq, Asif Loya, Nikolaos Batis, Jill Brooks, Paul Nankivell, Neil Sharma, and others. 2021. “A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma.” https://arxiv.org/abs/2104.12862.
Richard J Chen, Ming Y Lu, Drew FK Williamson, Tiffany Y Chen, Jana Lipkova, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, and others. 2021. “Pan-cancer integrative histology-genomic analysis via interpretable multimodal deep learning.” arXiv preprint arXiv:2108.02278.
Rawan Albusayli, Dinny Graham, Nirmala Pathmanathan, Muhammad Shaban, Fayyaz Minhas, Jane E Armes, and Nasir M Rajpoot. 2021. “Simple non-iterative clustering and CNNs for coarse segmentation of breast cancer whole-slide images.” In Medical Imaging 2021: Digital Pathology, 11603: Pp. 116030I. International Society for Optics and Photonics.
Richard J Chen, Ming Y Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y Chen, Drew FK Williamson, and Faisal Mahmood. 2021. “Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks.” In International Conference on Medical Image Computing and Computer-Assisted Intervention, Pp. 339–349. Springer.
2020
RM Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan Ahmed e Raza, Moazam M Fraz, Syed Ali Khurram, and Nasir M Rajpoot. 2020. “Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images.” In Medical Imaging 2020: Digital Pathology, 11320: Pp. 1132011. International Society for Optics and Photonics.
Raja Muhammad Saad Bashir, Hanya Mahmood, Muhammad Shaban, Shan-e-Ahmed Raza, Muhammad Moazam Fraz, Syed Ali Khurram, and Nasir M. Rajpoot. 2020. “Automated grade classification of oral epithelial dysplasia using morphometric analysis of histology images.” In Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020, edited by John E. Tomaszewski and Aaron D. Ward, 11320: Pp. 1132011. SPIE. Publisher's Version
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David Snead, and Nasir M Rajpoot. 2020. “Context-aware convolutional neural network for grading of colorectal cancer histology images.” IEEE transactions on medical imaging, 39, 7, Pp. 2395–2405.
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, Yee-Wah Tsang, David R. J. Snead, and Nasir M. Rajpoot. 2020. “Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.” IEEE Trans. Medical Imaging, 39, 7, Pp. 2395–2405. Publisher's Version
M. M. Fraz, Syed Ali Khurram, Simon Graham, Muhammad Shaban, M. Hassan, A. Loya, and Nasir M. Rajpoot. 2020. “FABnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer.” Neural Comput. Appl., 32, 14, Pp. 9915–9928. Publisher's Version
MM Fraz, SA Khurram, S Graham, M Shaban, M Hassan, A Loya, and NM Rajpoot. 2020. “FABnet: Feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer.” Neural Computing and Applications, 32, 14, Pp. 9915–9928.
H Mahmood, M Shaban, BI Indave, AR Santos-Silva, N Rajpoot, and SA Khurram. 2020. “Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions: A systematic review.” Oral Oncology, 110, Pp. 104885.
2019
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, and Nasir M. Rajpoot. 2019. “CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.” In 2019 IEEE/CVF International Conference on Computer Vision Workshops, ICCV Workshops 2019, Seoul, Korea (South), October 27-28, 2019, Pp. 388–398. IEEE. Publisher's Version
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, and Nasir Rajpoot. 2019. “Cgc-net: Cell graph convolutional network for grading of colorectal cancer histology images.” In Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, Pp. 0–0.
Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, and Nasir M. Rajpoot. 2019. “CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images.” CoRR, abs/1909.01068. Publisher's Version
Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David R. J. Snead, and Nasir M. Rajpoot. 2019. “Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images.” CoRR, abs/1907.09478. Publisher's Version
Muhammad Shaban, Arif Mahmood, Somaya Ali Al-Máadeed, and Nasir M. Rajpoot. 2019. “An information fusion framework for person localization via body pose in spectator crowds.” Inf. Fusion, 51, Pp. 178–188. Publisher's Version
Muhammad Shaban, Arif Mahmood, Somaya Ali Al-Maadeed, and Nasir Rajpoot. 2019. “An information fusion framework for person localization via body pose in spectator crowds.” Information Fusion, 51, Pp. 178–188.
Quoc Dang Vu, Simon Graham, Tahsin Kurc, Minh Nguyen Nhat To, Muhammad Shaban, Talha Qaiser, Navid Alemi Koohbanani, Syed Ali Khurram, Jayashree Kalpathy-Cramer, Tianhao Zhao, and others. 2019. “Methods for segmentation and classification of digital microscopy tissue images.” Frontiers in bioengineering and biotechnology, 7, Pp. 53.

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