| 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 | 478 | 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 | 245 | 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 | 241 | 2019 |
| Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training F Mahmood, R Chen, NJ Durr IEEE Transactions on Medical Imaging, 2018 | 212 | 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 | 194 | 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 | 193 | 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 | 124 | 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 | 84 | 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 | 79 | 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 | 69 | 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 | 61 | 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 | 55 | 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 | 53 | 2021 |
| Rethinking Monocular Depth Estimation with Adversarial Training R Chen, F Mahmood, A Yuille, NJ Durr arXiv preprint arXiv:1808.07528, 2018 | 48 | 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 | 43* | 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 | 43 | 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 | 43 | 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 | 42* | 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 | 36 | 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 | 35 | 2018 |
