Drew F. K. Williamson

According to our database, Drew F. K. Williamson authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Artificial Intelligence for Digital and Computational Pathology.

Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood

CoRR, 2024

2023

A Foundational Multimodal Vision Language AI Assistant for Human Pathology.

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

CoRR, 2023

A General-Purpose Self-Supervised Model for Computational Pathology.

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

CoRR, 2023

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples.

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

CoRR, 2023

Towards a Visual-Language Foundation Model for Computational Pathology.

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

CoRR, 2023

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

CoRR, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis.

Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood

IEEE Trans. Medical Imaging, 2022

A unifying force for the realization of medical AI.

Jochen K. Lennerz, Ursula Green, Drew F. K. Williamson, Faisal Mahmood

npj Digit. Medicine, 2022

Federated learning for computational pathology on gigapixel whole slide images.

Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood

Medical Image Anal., 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images.

Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Network potential identifies therapeutic miRNA cocktails in Ewing sarcoma.

Davis T. Weaver, Kathleen I. Pishas, Drew F. K. Williamson, Jessica Scarborough, Stephen L. Lessnick, Andrew Dhawan, Jacob G. Scott

PLoS Comput. Biol., 2021

AI-based pathology predicts origins for cancers of unknown primary.

Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Melissa Zhao, Maha Shady, Jana Lipková, Faisal Mahmood

Nat., 2021

Algorithm Fairness in AI for Medicine and Healthcare.

Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood

CoRR, 2021

Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning.

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

CoRR, 2021

Fast and Scalable Image Search For Histology.

Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood

CoRR, 2021

Deep Learning-based Frozen Section to FFPE Translation.

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

CoRR, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary.

Ming Y. Lu, Melissa Zhao, Maha Shady, Jana Lipková, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood

CoRR, 2020

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images.

Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood

CoRR, 2020

2018

TDAstats: R pipeline for computing persistent homology in topological data analysis.

Raoul R. Wadhwa, Drew F. K. Williamson, Andrew Dhawan, James G. Scott

J. Open Source Softw., 2018

egtplot: A Python Package for Three-Strategy Evolutionary Games.

Inom Mirzaev, Drew F. K. Williamson, Jacob G. Scott

J. Open Source Softw., 2018