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 | 81 | 2022 |
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 | 46 | 2020 |
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 | 33 | 2020 |
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 | 23 | 2021 |
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 | 20 | 2021 |
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 | 16 | 2024 |
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 | 7 | 2023 |
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 | 7 | 2022 |
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 | 6 | 2022 |
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 | 4 | 2024 |
SynCLay: Interactive synthesis of histology images from bespoke cellular layouts S Deshpande, M Dawood, F Minhas, N Rajpoot Medical Image Analysis 91, 102995, 2024 | 4 | 2024 |
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 | 3 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2021 |
A Transductive Approach to Survival Ranking for Cancer Risk Stratification E Alzaid, M Dawood, F Minhas Machine Learning in Computational Biology, 101-109, 2024 | 1 | 2024 |
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 | 1 | 2023 |
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 |