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Muhammad Dawood
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SlideGraph+: Whole slide image level graphs to predict HER2 status in breast cancer
W Lu, M Toss, M Dawood, E Rakha, N Rajpoot, F Minhas
Medical Image Analysis 80, 102486, 2022
812022
Deep-PHURIE: deep learning based hurricane intensity estimation from infrared satellite imagery
M Dawood, A Asif, FAA Minhas
Neural Computing and Applications 32 (13), 9009-9017, 2020
462020
PHURIE: hurricane intensity estimation from infrared satellite imagery using machine learning
A Asif, M Dawood, B Jan, J Khurshid, M DeMaria, FAA Minhas
Neural Computing and Applications 32, 4821-4834, 2020
332020
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning
M Dawood, K Branson, NM Rajpoot
PharML 2021 Workshop at ECML PKDD 2021, 15, 2021
232021
Albrt: Cellular composition prediction in routine histology images
M Dawood, K Branson, NM Rajpoot, F Minhas
Proceedings of the IEEE/CVF International Conference on Computer Vision, 664-673, 2021
202021
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting
S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
Medical image analysis 92, 103047, 2024
162024
Maximum mean discrepancy kernels for predictive and prognostic modeling of whole slide images
P Keller, M Dawood, FUAA Minhas
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
72023
TIAger: Tumor-Infiltrating Lymphocyte Scoring in Breast Cancer for the TiGER Challenge
A Shephard, M Jahanifar, R Wang, M Dawood, S Graham, K Sidlauskas, ...
arXiv preprint arXiv:2206.11943, 2022
72022
Neural graph modelling of whole slide images for survival ranking
CC Mackenzie, M Dawood, S Graham, M Eastwood
Learning on Graphs Conference, 48: 1-48: 10, 2022
62022
Cancer drug sensitivity prediction from routine histology images
M Dawood, QD Vu, LS Young, K Branson, L Jones, N Rajpoot, ...
NPJ Precision Oncology 8 (1), 5, 2024
42024
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts
S Deshpande, M Dawood, F Minhas, N Rajpoot
Medical Image Analysis 91, 102995, 2024
42024
Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining?
P Keller, M Dawood, FA Minhas
International Workshop on Trustworthy Machine Learning for Healthcare, 1-10, 2023
32023
Cross-linking breast tumor transcriptomic states and tissue histology
M Dawood, M Eastwood, M Jahanifar, L Young, A Ben-Hur, K Branson, ...
Cell Reports Medicine 4 (12), 2023
22023
Data-Driven Modelling of Gene Expression States in Breast Cancer and their Prediction from Routine Whole Slide Images
M Dawood, M Eastwood, M Jahanifar, L Young, A Ben-Hur, K Branson, ...
bioRxiv, 2023.04. 14.536756, 2023
22023
A Generalized Meta-loss Function for Distillation Based Learning Using Privileged Information for Classification and Regression
A Asif, M Dawood, FAA Minhas
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
22021
A Transductive Approach to Survival Ranking for Cancer Risk Stratification
E Alzaid, M Dawood, F Minhas
Machine Learning in Computational Biology, 101-109, 2024
12024
Do Tissue Source Sites leave identifiable Signatures in Whole Slide Images beyond staining?
M Dawood, P Keller
ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare, 2023
12023
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
P Keller, M Dawood, BS Chohan
arXiv preprint arXiv:2408.05195, 2024
2024
An Automated Pipeline for Tumour-Infiltrating Lymphocyte Scoring in Breast Cancer
AJ Shephard, M Jahanifar, R Wang, M Dawood, S Graham, K Sidlauskas, ...
2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024
2024
Buyer Beware: confounding factors and biases abound when predicting omics-based biomarkers from histological images
M Dawood, K Branson, S Tejpar, N Rajpoot, F Minhas
bioRxiv, 2024.06. 23.600257, 2024
2024
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