Drew F. K. Williamson

46 papers A* 6Journal 36Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Pathology in the Era of Emerging Foundation and Agentic AI - International Expert Perspectives on Clinical Integration and Translational Readiness. CoRR Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew F. K. Williamson, Germán Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-Zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu
2026	J	`jnl`	Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning. CoRR Daniel Shao, Joel Runevic, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Andrew H. Song, Faisal Mahmood
2025	J	`jnl`	A robust image segmentation and synthesis pipeline for histopathology. Medical Image Anal. Muhammad Jehanzaib, Yasin Almalioglu, Kutsev Bengisu Ozyoruk, Drew F. K. Williamson, Talha Abdullah, Kayhan Basak, Derya Demir, G. Evren Keles, Kashif Zafar, Mehmet Turan
2025	J	`jnl`	AI-driven 3D Spatial Transcriptomics. CoRR Cristina Almagro-Pérez, Andrew H. Song, Luca L. Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F. K. Williamson, Konstantin Hemker, Ming Y. Lu, Kritika Singh, Bowen Chen, Long Phi Le, Alexander S. Baras, Sizun Jiang, Ali Bashashati, Jonathan T. C. Liu, Faisal Mahmood
2025	—	`conf`	Evaluation of Hand-Crafted Features with Mask Images Obtained from PanNuke Dataset Using Bayesian Optimization and Machine Learning Models. ICSC Siri Yellu, Sai Chandana Koganti, Hamed Elghazzali, Yanjun Zhao, Drew F. K. Williamson, Sanghoon Lee
2025	J	`jnl`	Evidence-based diagnostic reasoning with multi-agent copilot for human pathology. CoRR Chengkuan Chen, Luca L. Weishaupt, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Bowen Chen, Anurag Vaidya, Long Phi Le, Guillaume Jaume, Ming Y. Lu, Faisal Mahmood
2025	J	`jnl`	NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery. CoRR Anurag J. Vaidya, Felix Meissen, Daniel C. Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie L. Hyland, Kenza Bouzid
2024	J	`jnl`	Artificial Intelligence for Digital and Computational Pathology. CoRR Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood
2024	A*	`conf`	HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. NeurIPS Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Yang Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood
2024	J	`jnl`	HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood
2024	A*	`conf`	Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CVPR Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
2024	A*	`conf`	Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CVPR Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
2024	J	`jnl`	Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CoRR Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
2024	J	`jnl`	Multimodal Whole Slide Foundation Model for Pathology. CoRR Tong Ding, Sophia J. Wagner, Andrew H. Song, Richard J. Chen, Ming Y. Lu, Andrew Zhang, Anurag J. Vaidya, Guillaume Jaume, Muhammad Shaban, Ahrong Kim, Drew F. K. Williamson, Bowen Chen, Cristina Almagro-Pérez, Paul Doucet, Sharifa Sahai, Chengkuan Chen, Daisuke Komura, Akihiro Kawabe, Shumpei Ishikawa, Georg Gerber, Tingying Peng, Long Phi Le, Faisal Mahmood
2024	J	`jnl`	SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation. IEEE Access Sanghoon Lee, Kazi Aminul Islam, Sai Chandana Koganti, Varshini Yaganti, Sai Ramya Sri Mamillapalli, Hannah Vitalos, Drew F. K. Williamson
2024	A*	`conf`	Transcriptomics-Guided Slide Representation Learning in Computational Pathology. CVPR Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
2024	J	`jnl`	Transcriptomics-guided Slide Representation Learning in Computational Pathology. CoRR Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
2023	J	`jnl`	A Foundational Multimodal Vision Language AI Assistant for Human Pathology. CoRR Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Kenji Ikamura, Georg Gerber, Ivy Liang, Long Phi Le, Tong Ding, Anil V. Parwani, Faisal Mahmood
2023	J	`jnl`	A General-Purpose Self-Supervised Model for Computational Pathology. CoRR Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood
2023	J	`jnl`	Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CoRR Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
2023	J	`jnl`	Towards a Visual-Language Foundation Model for Computational Pathology. CoRR Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Andrew Zhang, Long Phi Le, Georg Gerber, Anil V. Parwani, Faisal Mahmood
2023	A*	`conf`	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
2023	J	`jnl`	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CoRR Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
2023	J	`jnl`	Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples. CoRR Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood
2022	J	`jnl`	A unifying force for the realization of medical AI. npj Digit. Medicine Jochen K. Lennerz, Ursula Green, Drew F. K. Williamson, Faisal Mahmood
2022	—	`conf`	Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. ECCV (21) Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
2022	J	`jnl`	Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images. CoRR Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel
2022	J	`jnl`	Federated learning for computational pathology on gigapixel whole slide images. Medical Image Anal. Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	—	`conf`	Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. MICCAI (2) Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	J	`jnl`	Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. CoRR Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	J	`jnl`	Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. IEEE Trans. Medical Imaging Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
2021	J	`jnl`	AI-based pathology predicts origins for cancers of unknown primary. Nat. Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Melissa Zhao, Maha Shady, Jana Lipková, Faisal Mahmood
2021	J	`jnl`	Algorithm Fairness in AI for Medicine and Healthcare. CoRR Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood
2021	J	`jnl`	Deep Learning-based Frozen Section to FFPE Translation. CoRR Kutsev Bengisu Ozyoruk, Sermet Can, Guliz Irem Gokceler, Kayhan Basak, Derya Demir, Gurdeniz Serin, Uguray Payam Hacisalihoglu, Berkan Darbaz, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Funda Yilmaz, Faisal Mahmood, Mehmet Turan
2021	J	`jnl`	Fast and Scalable Image Search For Histology. CoRR Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood
2021	A*	`conf`	Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
2021	J	`jnl`	Network potential identifies therapeutic miRNA cocktails in Ewing sarcoma. PLoS Comput. Biol. Davis T. Weaver, Kathleen I. Pishas, Drew F. K. Williamson, Jessica Scarborough, Stephen L. Lessnick, Andrew Dhawan, Jacob G. Scott
2021	J	`jnl`	Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. CoRR Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipková, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood
2021	—	`conf`	Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. MICCAI (8) Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2021	J	`jnl`	Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. CoRR Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2020	J	`jnl`	Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. CoRR Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood
2020	J	`jnl`	Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary. CoRR Ming Y. Lu, Melissa Zhao, Maha Shady, Jana Lipková, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2020	J	`jnl`	Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. CoRR Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2019	J	`jnl`	Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. CoRR Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
2018	J	`jnl`	TDAstats: R pipeline for computing persistent homology in topological data analysis. J. Open Source Softw. Raoul R. Wadhwa, Drew F. K. Williamson, Andrew Dhawan, James G. Scott
2018	J	`jnl`	egtplot: A Python Package for Three-Strategy Evolutionary Games. J. Open Source Softw. Inom Mirzaev, Drew F. K. Williamson, Jacob G. Scott