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 | 1278 | 2021 |
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 | 551 | 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 | 500 | 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 | 444 | 2019 |
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 | 425 | 2022 |
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 | 361 | 2019 |
Artificial intelligence for multimodal data integration in oncology J Lipkova, RJ Chen, B Chen, MY Lu, M Barbieri, D Shao, AJ Vaidya, ... Cancer Cell 40 (10), 1095-1110, 2022 | 286 | 2022 |
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training F Mahmood, R Chen, NJ Durr IEEE Transactions on Medical Imaging, 2018 | 276 | 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 | 275 | 2022 |
Towards a general-purpose foundation model for computational pathology RJ Chen, T Ding, MY Lu, DFK Williamson, G Jaume, AH Song, B Chen, ... Nature Medicine 30 (3), 850-862, 2024 | 273* | 2024 |
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 | 237 | 2021 |
Algorithmic fairness in artificial intelligence for medicine and healthcare RJ Chen, JJ Wang, DFK Williamson, TY Chen, J Lipkova, MY Lu, S Sahai, ... Nature Biomedical Engineering 7 (6), 719-742, 2023 | 199 | 2023 |
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 | 179 | 2020 |
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 | 170 | 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, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 162 | 2021 |
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 | 159 | 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 | 136 | 2022 |
A visual-language foundation model for computational pathology MY Lu, B Chen, DFK Williamson, RJ Chen, I Liang, T Ding, G Jaume, ... Nature Medicine 30 (3), 863-874, 2024 | 127 | 2024 |
Artificial intelligence for digital and computational pathology AH Song, G Jaume, DFK Williamson, MY Lu, A Vaidya, TR Miller, ... Nature Reviews Bioengineering, 1-20, 2023 | 119 | 2023 |
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 | 108 | 2019 |