Gaiane M. Rauch

According to our database, Gaiane M. Rauch authored at least 3 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition.

Chase Christenson, Chengyue Wu, David A. Hormuth, Casey E. Stowers, Megan LaMonica, Jingfei Ma, Gaiane M. Rauch, Thomas E. Yankeelov

J. Comput. Sci., 2024

2023

Predicting pathological complete response to neoadjuvant systemic therapy for triple-negative breast cancers using deep learning on multiparametric MRIs.

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

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Application of Artificial Intelligence to Plasma Metabolomics Profiles to Predict Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.

Ehsan Irajizad, Ranran Wu, Jody V. Vykoukal, Eunice Murage, Rachelle Spencer, Jennifer B. Dennison, Stacy Moulder, Elizabeth Ravenberg, Bora Lim, Jennifer Litton, Debu Tripathy, 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

Frontiers Artif. Intell., 2022