Machine Learning for Health (ML4H) 2022. - Antonio Parziale; Monica Agrawal; Shengpu Tang; Kristen Severson 001; Luis Oala; Adarsh Subbaswamy; Sayantan Kumar; Elora D. M. Schörverth; Stefan Hegselmann; Helen Zhou; Ghada Zamzmi; Purity Mugambi; et al. (ML4H@NeurIPS, 2022)

Considerations for data acquisition and modeling strategies: Mitosis detection in computational pathology. - Zongliang Ji; Philip Rosenfield; Christina Eng; Sarah Bettigole; Danielle C. Gibson; Hamid Masoudi; Matthew G. Hanna; Nicolò Fusi; Kristen A. Severson 001 (MIDL, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models. - Ruiwen Ding; James Brian Hall; Neil A. Tenenholtz; Kristen Severson 001 (ISBI, 2024)

Adapting Self-Supervised Learning for Computational Pathology. - Eric Zimmermann; Neil A. Tenenholtz; James Brian Hall; George Shaikovski; Michal Zelechowski; Adam Casson; Fausto Milletari; Julian Viret; Eugene Vorontsov; Siqi Liu; Kristen Severson 001 (CoRR, 2024)

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. - George Shaikovski; Adam Casson; Kristen Severson 001; Eric Zimmermann; Yi Kan Wang; Jeremy D. Kunz; Juan Retamero; Gerard Oakley; David S. Klimstra; Christopher Kanan; Matthew G. Hanna; Michal Zelechowski; et al. (CoRR, 2024)

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology. - Eric Zimmermann; Eugene Vorontsov; Julian Viret; Adam Casson; Michal Zelechowski; George Shaikovski; Neil A. Tenenholtz; James Brian Hall; David S. Klimstra; Razik Yousfi; Thomas J. Fuchs; Nicoló Fusi; et al. (CoRR, 2024)

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue. - George Shaikovski; Eugene Vorontsov; Adam Casson; Julian Viret; Eric Zimmermann; Neil A. Tenenholtz; Yi Kan Wang; Jan Bernhard; Ran A. Godrich; Juan Retamero; Razik Yousfi; Nicolò Fusi; et al. (CoRR, 2025)