Pan-cancer image-based detection of clinically actionable genetic alterations

Jakob Nikolas Kather, Lara R. Heij, Heike I. Grabsch, +25

Nature Cancer

EngineeringMedicineDigital PathologyPathologyCancer Genomics +7

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, +13

Nature Communications

Pan-cancer image-based detection of clinically actionable genetic alterations

Jakob Nikolas Kather, Lara R. Heij, Heike I. Grabsch, +20

EngineeringMachine LearningMachine Learning ToolDigital PathologyPathology +15

Deep learning generates synthetic cancer histology for explainability and education

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, +20

npj Precision Oncology

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

Frederick M. Howard, James M. Dolezal, Sara Kochanny, +10

npj Breast Cancer

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

James M. Dolezal, Sara Kochanny, Emma Dyer, +7

BMC Bioinformatics

Clinical, laboratory, and genetic risk factors for thrombosis in sickle cell disease

Andrew Srisuwananukorn, Rasha Raslan, Xu Zhang, +6

Blood Advances

ImmunohematologyGenetic EpidemiologyPathologyCerebrovascular DiseaseClinical Genetics +23

Deep learning detects virus presence in cancer histology

Jakob Nikolas Kather, Jefree J. Schulte, Heike I. Grabsch, +15

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Reduced skeletal muscle function is associated with decreased fiber cross-sectional area in the Cy/+ rat model of progressive kidney disease

Jason M. Organ, Andrew Srisuwananukorn, Paige Price, +7

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