On Algorithms to Calculate Integer Complexity. - Katherine Cordwell; Alyssa Epstein; Anand Hemmandy; Steven J. Miller 001; Eyvindur A. Palsson; Aaditya Sharma; Stefan Steinerberger; Yen Nhi Truong Vu (Integers, 2019)

An improved mammography malignancy model with self-supervised learning. - Yen Nhi Truong Vu; Trevor Tsue; Jason Su; Sadanand Singh (Computer-Aided Diagnosis, 2021)

MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation. - Yen Nhi Truong Vu; Richard Wang; Niranjan Balachandar; Can Liu; Andrew Y. Ng; Pranav Rajpurkar (MLHC, 2021)

WRDet: a breast cancer detector for full-field digital mammograms. - Yen Nhi Truong Vu; Brent Mombourquette; Thomas Paul Matthews; Jason Su; Sadanand Singh (Computer-Aided Diagnosis, 2022)

Deep is a Luxury We Don't Have. - Ahmed Taha 001; Yen Nhi Truong Vu; Brent Mombourquette; Thomas Paul Matthews; Jason Su; Sadanand Singh (MICCAI (3), 2022)

A deep learning algorithm for reducing false positives in screening mammography. - Stefano Pedemonte; Trevor Tsue; Brent Mombourquette; Yen Nhi Truong Vu; Thomas Paul Matthews; Rodrigo Morales Hoil; Meet Shah 001; Nikita Ghare; Naomi Zingman-Daniels; Susan Holley; Catherine M. Appleton; Jason Su; et al. (CoRR, 2022)

M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector. - Yen Nhi Truong Vu; Dan Guo; Ahmed Taha 001; Jason Su; Thomas Paul Matthews (MICCAI (5), 2023)

Problems and shortcuts in deep learning for screening mammography. - Trevor Tsue; Brent Mombourquette; Ahmed Taha 001; Thomas Paul Matthews; Yen Nhi Truong Vu; Jason Su (CoRR, 2023)