| Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine … M Bilal, SEA Raza, A Azam, S Graham, M Ilyas, IA Cree, D Snead, ... The Lancet Digital Health 3 (12), e763-e772, 2021 | 160 | 2021 |
| Better physical activity classification using smartphone acceleration sensor M Arif, M Bilal, A Kattan, SI Ahamed Journal of medical systems 38, 1-10, 2014 | 112 | 2014 |
| Capturing cellular topology in multi-gigapixel pathology images W Lu, S Graham, M Bilal, N Rajpoot, F Minhas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 79 | 2020 |
| Solution of n-queen problem using aco S Khan, M Bilal, M Sharif, M Sajid, R Baig 2009 IEEE 13th international multitopic conference, 1-5, 2009 | 54 | 2009 |
| TIAToolbox as an end-to-end library for advanced tissue image analytics J Pocock, S Graham, QD Vu, M Jahanifar, S Deshpande, ... Communications medicine 2 (1), 120, 2022 | 40 | 2022 |
| Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations N Wahab, IM Miligy, K Dodd, H Sahota, M Toss, W Lu, M Jahanifar, ... The Journal of Pathology: Clinical Research 8 (2), 116-128, 2022 | 40 | 2022 |
| Novel deep learning algorithm predicts the status of molecular pathways and key mutations in colorectal cancer from routine histology images M Bilal, SEA Raza, A Azam, S Graham, M Ilyas, IA Cree, D Snead, ... MedRxiv, 2021.01. 19.21250122, 2021 | 27 | 2021 |
| Stain-robust mitotic figure detection for the mitosis domain generalization challenge M Jahanifar, A Shepard, N Zamanitajeddin, RMS Bashir, M Bilal, ... International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 24 | 2021 |
| Skin lesions identification using deep convolutional neural network T Alkarakatly, S Eidhah, M Al-Sarawani, A Al-Sobhi, M Bilal 2019 International Conference on Advances in the Emerging Computing …, 2020 | 24 | 2020 |
| Intelligent leakage detection system for pipelines M Bilal, E Felemban, AAA Sheikh, SB Qaisar US Patent App. 14/728,834, 2016 | 23 | 2016 |
| An aggregation of aggregation methods in computational pathology M Bilal, R Jewsbury, R Wang, HM AlGhamdi, A Asif, M Eastwood, ... Medical Image Analysis, 102885, 2023 | 16 | 2023 |
| Estimation and optimization based ill-posed inverse restoration using fuzzy logic M Bilal, A Hussain, MA Jaffar, TS Choi, AM Mirza Multimedia tools and applications 69, 1067-1087, 2014 | 16 | 2014 |
| AI based pre-screening of large bowel cancer via weakly supervised learning of colorectal biopsy histology images M Bilal, YW Tsang, M Ali, S Graham, E Hero, N Wahab, K Dodd, H Sahota, ... medRxiv, 2022.02. 28.22271565, 2022 | 15 | 2022 |
| Feddropoutavg: Generalizable federated learning for histopathology image classification GN Gunesli, M Bilal, SEA Raza, NM Rajpoot arXiv preprint arXiv:2111.13230, 2021 | 14 | 2021 |
| Screening of normal endoscopic large bowel biopsies with interpretable graph learning: a retrospective study S Graham, F Minhas, M Bilal, M Ali, YW Tsang, M Eastwood, N Wahab, ... Gut 72 (9), 1709-1721, 2023 | 13 | 2023 |
| Role of AI and digital pathology for colorectal immuno-oncology M Bilal, M Nimir, D Snead, GS Taylor, N Rajpoot British Journal of Cancer 128 (1), 3-11, 2023 | 13 | 2023 |
| Deep multi-resolution dictionary learning for histopathology image analysis N Hatami, M Bilal, N Rajpoot arXiv preprint arXiv:2104.00669, 2021 | 13 | 2021 |
| A revised framework of machine learning application for optimal activity recognition M Bilal, FK Shaikh, M Arif, MF Wyne Cluster Computing 22 (Suppl 3), 7257-7273, 2019 | 13 | 2019 |
| Reconstruction: Image restoration for space variant degradation M Bilal, M Shams-ur-Rehman, MA Jaffar Smart Computing Review 3 (4), 220-232, 2013 | 11 | 2013 |
| Image restoration using modified hopfield fuzzy regularization method M Bilal, M Sharif, MA Jaffar, A Hussain, AM Mirza 2010 5th International Conference on Future Information Technology, 1-6, 2010 | 9 | 2010 |
Nasir M. RajpootTissue Image Analytics (TIA) Centre, University of Warwick在 warwick.ac.uk 的电子邮件经过验证
