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)

A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams. - Thomas Paul Matthews; Sadanand Singh; Brent Mombourquette; Jason Su; Meet P. Shah; Stefano Pedemonte; Aaron Long; David Maffit; Jenny Gurney; Rodrigo Morales Hoil; Nikita Ghare; Douglas Smith; et al. (CoRR, 2020)

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)