Machine Learning–Guided Adjuvant Treatment of Head and Neck Cancer

por Howard, Frederick Matthew, Kochanny, Sara, Koshy, Matthew, Spiotto, Michael, Pearson, Alexander T.
Publicado 2020

Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

por Partin, Alexander, Brettin, Thomas, Zhu, Yitan, Dolezal, James M., Kochanny, Sara, Pearson, Alexander T., Shukla, Maulik, Evrard, Yvonne A., Doroshow, James H., Stevens, Rick L.
Publicado 2023

Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features

por Dolezal, James M., Trzcinska, Anna, Liao, Chih-Yi, Kochanny, Sara, Blair, Elizabeth, Agrawal, Nishant, Keutgen, Xavier M., Angelos, Peter, Cipriani, Nicole A., Pearson, Alexander T.
Publicado 2020

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

por Howard, Frederick M., Dolezal, James, Kochanny, Sara, Khramtsova, Galina, Vickery, Jasmine, Srisuwananukorn, Andrew, Woodard, Anna, Chen, Nan, Nanda, Rita, Perou, Charles M., Olopade, Olufunmilayo I., Huo, Dezheng, Pearson, Alexander T.
Publicado 2023

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

por Howard, Frederick M., Dolezal, James, Kochanny, Sara, Schulte, Jefree, Chen, Heather, Heij, Lara, Huo, Dezheng, Nanda, Rita, Olopade, Olufunmilayo I., Kather, Jakob N., Cipriani, Nicole, Grossman, Robert L., Pearson, Alexander T.
Publicado 2021

Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal Carcinoma

por Nair, Vivek, Auger, Samuel, Kochanny, Sara, Howard, Frederick M., Ginat, Daniel, Pasternak-Wise, Olga, Juloori, Aditya, Koshy, Matthew, Izumchenko, Evgeny, Agrawal, Nishant, Rosenberg, Ari, Vokes, Everett E., Skandari, M. Reza, Pearson, Alexander T.
Publicado 2022

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

por Dolezal, James M., Srisuwananukorn, Andrew, Karpeyev, Dmitry, Ramesh, Siddhi, Kochanny, Sara, Cody, Brittany, Mansfield, Aaron S., Rakshit, Sagar, Bansal, Radhika, Bois, Melanie C., Bungum, Aaron O., Schulte, Jefree J., Vokes, Everett E., Garassino, Marina Chiara, Husain, Aliya N., Pearson, Alexander T.
Publicado 2022

Deep learning generates synthetic cancer histology for explainability and education

por Dolezal, James M., Wolk, Rachelle, Hieromnimon, Hanna M., Howard, Frederick M., Srisuwananukorn, Andrew, Karpeyev, Dmitry, Ramesh, Siddhi, Kochanny, Sara, Kwon, Jung Woo, Agni, Meghana, Simon, Richard C., Desai, Chandni, Kherallah, Raghad, Nguyen, Tung D., Schulte, Jefree J., Cole, Kimberly, Khramtsova, Galina, Garassino, Marina Chiara, Husain, Aliya N., Li, Huihua, Grossman, Robert, Cipriani, Nicole A., Pearson, Alexander T.
Publicado 2023