Faisal Mahmood
Faisal Mahmood
Associate Professor, Harvard Medical School / Brigham and Women's Hospital
Verified email at - Homepage
Cited by
Cited by
Data-efficient and weakly supervised computational pathology on whole-slide images
MY Lu, DFK Williamson, TY Chen, RJ Chen, M Barbieri, F Mahmood
Nature Biomedical Engineering, 1-16, 2021
AI-based pathology predicts origins for cancers of unknown primary
MY Lu, TY Chen, DFK Williamson, M Zhao, M Shady, J Lipkova, ...
Nature 594 (7861), 106-110, 2021
Deep adversarial training for multi-organ nuclei segmentation in histopathology images
F Mahmood, D Borders, R Chen, GN McKay, KJ Salimian, A Baras, ...
IEEE Transactions on Medical Imaging, 2019
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
F Mahmood, R Chen, NJ Durr
IEEE Transactions on Medical Imaging, 2018
Synthetic data in machine learning for medicine and healthcare
RJ Chen, MY Lu, TY Chen, DFK Williamson, F Mahmood
Nature Biomedical Engineering, 1-5, 2021
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
RJ Chen, MY Lu, J Wang, DFK Williamson, SJ Rodig, NI Lindeman, ...
IEEE Transactions on Medical Imaging, 2019
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy
F Mahmood, NJ Durr
Medical image analysis 48, 230-243, 2018
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
RJ Chen, C Chen, Y Li, TY Chen, AD Trister, RG Krishnan, F Mahmood
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images
MY Lu, D Kong, J Lipkova, RJ Chen, R Singh, DFK Williamsona, ...
Medical image analysis, 2020
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
MY Lu, RJ Chen, J Wang, D Dillon, F Mahmood
NeurIPS'19 ML4H, 2019
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images
RJ Chen, MY Lu, WH Weng, TY Chen, DFK Williamson, T Manz, M Shady, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
RJ Chen, MY Lu, M Shaban, C Chen, TY Chen, DFK Williamson, ...
arXiv preprint arXiv:2107.13048, 2021
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos
KB Ozyoruk, GI Gokceler, TL Bobrow, G Coskun, K Incetan, Y Almalioglu, ...
Medical Image Analysis, 102058, 2021
Rethinking Monocular Depth Estimation with Adversarial Training
R Chen, F Mahmood, A Yuille, NJ Durr
arXiv preprint arXiv:1808.07528, 2018
Pan-cancer integrative histology-genomic analysis via multimodal deep learning
RJ Chen, MY Lu, DFK Williamson, TY Chen, J Lipkova, Z Noor, M Shaban, ...
Cancer Cell 40 (8), 865-878. e6, 2022
Weakly supervised prostate tma classification via graph convolutional networks
J Wang, RJ Chen, MY Lu, A Baras, F Mahmood
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 239-243, 2020
Deep Learning with Cinematic Rendering-Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
F Mahmood, R Chen, S Sudarsky, D Yu, NJ Durr
Physics in Medicine and Biology, 2018
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
NG Laleh, HS Muti, CML Loeffler, A Echle, OL Saldanha, F Mahmood, ...
Medical Image Analysis, 102474, 2022
SLAM Endoscopy enhanced by adversarial depth prediction
RJ Chen, TL Bobrow, T Athey, F Mahmood, NJ Durr
KDD Workshop on Applied Data Science for Healthcare 2019, 2019
Adaptive graph-based total variation for tomographic reconstructions
F Mahmood, N Shahid, U Skoglund, P Vandergheynst
IEEE Signal Processing Letters 25 (5), 700-704, 2018
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