SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection. - Chi Liu; Yue Huang 001; John A. Ozolek; Matthew G. Hanna; Rajendra Singh; Gustavo K. Rohde (IEEE J. Biomed. Health Informatics, 2019)

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)

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; et al. (J. Am. Medical Informatics Assoc., 2021)

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)

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; et al. (CoRR, 2023)

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)