Kristen Severson

According to our database, Kristen Severson authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

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, Siqi Liu, Kristen Severson

CoRR, 2024

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs

CoRR, 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

CoRR, 2024

Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models.

Ruiwen Ding, James Brian Hall, Neil A. Tenenholtz, Kristen Severson

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

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

Proceedings of the Medical Imaging with Deep Learning, 2023

2022

Machine Learning for Health (ML4H) 2022.

Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi

Proceedings of the Machine Learning for Health, 2022