Kalpathy-Cramer, Jayashree

6 publications

MLHC 2023 A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging Jay Patel, Syed Rakin Ahmed, Ken Chang, Praveer Singh, Mishka Gidwani, Katharina Hoebel, Albert Kim, Christopher Bridge, Chung-Jen Teng, Xiaomei Li, Gongwen Xu, Megan McDonald, Ayal Aizer, Wenya Linda Bi, Ina Ly, Bruce Rosen, Priscilla Brastianos, Raymond Huang, Elizabeth Gerstner, Jayashree Kalpathy-Cramer

ICMLW 2023 Conditional Diffusion Replay for Continual Learning in Medical Settings Yewon Byun, Saurabh Garg, Sanket Vaibhav Mehta, Praveer Singh, Jayashree Kalpathy-cramer, Bryan Wilder, Zachary Chase Lipton

AAAI 2022 Fair Conformal Predictors for Applications in Medical Imaging Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer

AISTATS 2020 Fast and Accurate Ranking Regression Ilkay Yildiz, Jennifer Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis

ACML 2019 Variational Inference from Ranked Samples with Features Yuan Guo, Jennifer Dy, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis

IJCAI 2018 Experimental Design Under the Bradley-Terry Model Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis