James M. Dolezal

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Frederick M. Howard, James M. Dolezal, Sara Kochanny et al. · Nature Communications · 2021 · 279 citations · Full text

Medicine, Computer Science, Oncology +17

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

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev et al. · Nature Communications · 2022 · 124 citations · Full text

Computing, Computer Science, Oncology +16

Diagnostic and prognostic implications of ribosomal protein transcript expression patterns in human cancers

James M. Dolezal, Arie P. Dash, Edward V. Prochownik · BMC Cancer · 2018 · 98 citations · Full text

Life Sciences, Cancer Biology, Oncology +13

Evaluation of Major Pathologic Response and Pathologic Complete Response as Surrogate End Points for Survival in Randomized Controlled Trials of Neoadjuvant Immune Checkpoint Blockade in Resectable in NSCLC

Jacobi Hines, Robert B. Cameron, A. Esposito et al. · Journal of Thoracic Oncology · 2024 · 74 citations · Full text

Medicine, Immunology, Oncology +17

Deep learning generates synthetic cancer histology for explainability and education

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon et al. · npj Precision Oncology · 2023 · 72 citations · Full text

Computing, Computer Science, Pathology +17