Gaiane M. Rauch

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 3

Top Topics

Computer Aided Diagnosis

Logistic Regression

Identify Potential

Top Venues

J. Comput. Sci.

Frontiers Artif. Intell.

Publications

Chase Christenson, Chengyue Wu, David A. Hormuth, Casey E. Stowers, Megan LaMonica, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition. J. Comput. Sci. 82 (2024)
Zijian Zhou, Beatriz E. Adrada, Rosalind P. Candelaria, Nabil A. Elshafeey, Medine Boge, Rania M. Mohamed, Sanaz Pashapoor, Jia Sun, Zhan Xu, Bikash Panthi, Jong Bum Son, Mary S. Guirguis, Miral M. Patel, Gary J. Whitman, Tanya W. Moseley, Marion E. Scoggins, Jason B. White, Jennifer K. Litton, Vincente Valero, Kelly K. Hunt, Debu Tripathy, Wei Yang, Peng Wei, Clinton Yam, Mark D. Pagel, Gaiane M. Rauch, Jingfei Ma
Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs. EMBC (2023)
Ehsan Irajizad, Ranran Wu, Jody V. Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathym, Vicente Valero, Senthil Damodaran, Gaiane M. Rauch, Beatriz E. Adrada, Rosalind Candelaria, Jason B. White, Abenaa Brewster, Banu Arun, James P. Long, Kim-Anh Do, Sam Hanash, Johannes F. Fahrmann
Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Frontiers Artif. Intell. 5 (2022)