egtplot: A Python Package for Three-Strategy Evolutionary Games. - Inom Mirzaev; Drew F. K. Williamson; Jacob G. Scott (J. Open Source Softw., 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)

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 001 (CoRR, 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 001 (CoRR, 2020)

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 001 (ICCV, 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 001 (MICCAI (8), 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; et al. (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 001 (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 001 (CoRR, 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 001 (CoRR, 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 001 (Nat., 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)

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 (ECCV (21), 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 001 (MICCAI (2), 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 001 (Medical Image Anal., 2022)

A unifying force for the realization of medical AI. - Jochen K. Lennerz; Ursula Green; Drew F. K. Williamson; Faisal Mahmood 001 (npj Digit. Medicine, 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 001 (IEEE Trans. Medical Imaging, 2022)

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 001 (CVPR, 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; et al. (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 001 (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; et al. (CoRR, 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 001 (CoRR, 2023)

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 001 (CVPR, 2024)

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 001 (CVPR, 2024)

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 001 (CVPR, 2024)

HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. - 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 001 (NeurIPS, 2024)

SN-FPN: Self-Attention Nested Feature Pyramid Network for Digital Pathology Image Segmentation. - Sanghoon Lee 007; Kazi Aminul Islam; Sai Chandana Koganti; Varshini Yaganti; Sai Ramya Sri Mamillapalli; Hannah Vitalos; Drew F. K. Williamson (IEEE Access, 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 001 (CoRR, 2024)

Multimodal Whole Slide Foundation Model for Pathology. - 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; et al. (CoRR, 2024)

Evaluation of Hand-Crafted Features with Mask Images Obtained from PanNuke Dataset Using Bayesian Optimization and Machine Learning Models. - Siri Yellu; Sai Chandana Koganti; Hamed Elghazzali; Yanjun Zhao; Drew F. K. Williamson; Sanghoon Lee 007 (ICSC, 2025)

A robust image segmentation and synthesis pipeline for histopathology. - Muhammad Jehanzaib; Yasin Almalioglu; Kutsev Bengisu Ozyoruk; Drew F. K. Williamson; Talha Abdullah; Kayhan Basak; Derya Demir; G. Evren Keles; Kashif Zafar; Mehmet Turan (Medical Image Anal., 2025)

AI-driven 3D Spatial Transcriptomics. - 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; et al. (CoRR, 2025)

Evidence-based diagnostic reasoning with multi-agent copilot for human pathology. - 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 001 (CoRR, 2025)