Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis. - Sadanand Singh; Thomas Paul Matthews; Meet Shah 001; Brent Mombourquette; Trevor Tsue; Aaron Long; Ranya Almohsen; Stefano Pedemonte; Jason Su (Computer-Aided Diagnosis, 2020)

A Hypersensitive Breast Cancer Detector. - Stefano Pedemonte; Brent Mombourquette; Alexis Goh; Trevor Tsue; Aaron Long; Sadanand Singh; Thomas Paul Matthews; Meet Shah 001; Jason Su (CoRR, 2020)

Cycle Text-To-Image GAN with BERT. - Trevor Tsue; Samir Sen; Jason Li (CoRR, 2020)

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

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)

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)