Artificial intelligence and machine learning in nephropathology
Jan U. Becker(Integrated Oncology (United States)), Badrinath Roysam(University of Houston), David Mayerich(University of Houston), Chandra Mohan(The University of Texas Southwestern Medical Center), Peter Boor(Radboud University Nijmegen), Jonathan Barratt(University of Leicester), Pietro Antonio Cicalese(University of Houston), Angela Ernst(University of Cologne), Hien Van Nguyen(University of Houston), Meghana Padmanabhan(University of Houston)
Cited by 107
Related Papers
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
|Nature Medicine|2019|1.4k
Spatial multi-omic map of human myocardial infarction
|Nature|2022|675
Pan-cancer image-based detection of clinically actionable genetic alterations
|Nature Cancer|2020|630
Genetic reconstitution of systemic lupus erythematosus immunopathology with polycongenic murine strains
|Proceedings of the National Academy of Sciences|2000|404