Faisal Mahmood
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Composable Interventions for Language Models. | Arinbjrn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen |
| 2025 | ICML | Do Multiple Instance Learning Models Transfer? | Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood |
| 2025 | MICCAI | Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers. | Sharifa Sahai, Ana D. Ramos-Guerra, Cristina Almagro-Prez, Guillaume Jaume, Andrew Zhang, Helmut Rennke, Astrid Weins, Juan E. Ortuo, Mara J. Ledesma-Carbayo, Faisal Mahmood |
| 2024 | CVPR | Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments. | Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. True, Faisal Mahmood, Jonathan T. C. Liu |
| 2024 | CVPR | Transcriptomics-Guided Slide Representation Learning in Computational Pathology. | Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood |
| 2024 | CVPR | Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. | Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood |
| 2024 | CVPR | Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. | Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood |
| 2024 | ECCV | Multistain Pretraining for Slide Representation Learning in Pathology. | Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood |
| 2024 | ICML | Multimodal Prototyping for cancer survival prediction. | Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood |
| 2023 | CVPR | Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. | Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood |
| 2022 | CVPR | Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. | Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood |
| 2022 | MICCAI | Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. | Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood |
| 2021 | ICCV | Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. | Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood |
| 2021 | MICCAI | Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. | Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood |
| 2019 | ICLR | Structured Prediction using cGANs with Fusion Discriminator. | Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille |