Matthew G. Hanna

According to our database, Matthew G. Hanna authored at least 4 papers between 2019 and 2023.

Collaborative distances:

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

2023

Virchow: A Million-Slide Digital Pathology Foundation Model.

Eugene Vorontsov, Alican Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kunz, Matthew C. H. Lee, Jan Bernhard, Ran A. Godrich, Gerard Oakley, Ewan Millar, Matthew G. Hanna, Juan Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, David S. Klimstra, Brandon Rothrock, Thomas J. Fuchs

CoRR, 2023

2021

Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center.

Peter J. Schüffler, Luke Geneslaw, Dig Vijay Kumar Yarlagadda, Matthew G. Hanna, Jennifer Samboy, Evangelos Stamelos, Chad M. Vanderbilt, John Philip, Marc-Henri Jean, Lorraine Corsale, Allyne Manzo, Neeraj H. G. Paramasivam, John S. Ziegler, Jianjiong Gao, Juan C. Perin, Young Suk Kim, Umeshkumar K. Bhanot, Michael H. A. Roehrl, Orly Ardon, Sarah Chiang, Dilip D. Giri, Carlie S. Sigel, Lee K. Tan, Melissa Murray, Christina Virgo, Christine England, Yukako Yagi, S. Joseph Sirintrapun, David S. Klimstra, Meera R. Hameed, Victor E. Reuter, Thomas J. Fuchs

J. Am. Medical Informatics Assoc., 2021

Deep Multi-Magnification Networks for multi-class breast cancer image segmentation.

David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs

Comput. Medical Imaging Graph., 2021

2019

SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection.

Chi Liu, Yue Huang, John A. Ozolek, Matthew G. Hanna, Rajendra Singh, Gustavo K. Rohde

IEEE J. Biomed. Health Informatics, 2019