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Mohsin Bilal
Mohsin Bilal
Prince Sattam Bin Abdulaziz University, Saudi Arabia.
Verified email at psau.edu.sa
Title
Cited by
Cited by
Year
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
2202021
Better physical activity classification using smartphone acceleration sensor
M Arif, M Bilal, A Kattan, SI Ahamed
Journal of medical systems 38, 1-10, 2014
1182014
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
842020
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
822022
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
572009
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
532022
An aggregation of aggregation methods in computational pathology
M Bilal, R Jewsbury, R Wang, HM AlGhamdi, A Asif, M Eastwood, ...
Medical Image Analysis 88, 102885, 2023
332023
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
312020
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
302021
Intelligent leakage detection system for pipelines
M Bilal, E Felemban, AAA Sheikh, SB Qaisar
US Patent App. 14/728,834, 2016
302016
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
29*2023
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
292021
Feddropoutavg: Generalizable federated learning for histopathology image classification
GN Gunesli, M Bilal, SEA Raza, NM Rajpoot
arXiv preprint arXiv:2111.13230, 2021
27*2021
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
242023
Evaluation of tumour infiltrating lymphocytes in luminal breast cancer using artificial intelligence
S Makhlouf, N Wahab, M Toss, A Ibrahim, AG Lashen, NM Atallah, ...
British Journal of Cancer 129 (11), 1747-1758, 2023
192023
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
172022
Deep multi-resolution dictionary learning for histopathology image analysis
N Hatami, M Bilal, N Rajpoot
arXiv preprint arXiv:2104.00669, 2021
162021
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
162014
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
142019
Development and validation of artificial intelligence-based prescreening of large-bowel biopsies taken in the UK and Portugal: a retrospective cohort study
M Bilal, YW Tsang, M Ali, S Graham, E Hero, N Wahab, K Dodd, H Sahota, ...
The Lancet Digital Health 5 (11), e786-e797, 2023
132023
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