Jason Su

According to our database, Jason Su authored at least 14 papers between 1991 and 2023.

Collaborative distances:

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

2023

Problems and shortcuts in deep learning for screening mammography.

Trevor Tsue, Brent Mombourquette, Ahmed Taha, Thomas Paul Matthews, Yen Nhi Truong Vu, Jason Su

CoRR, 2023

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, Jason Su, Thomas Paul Matthews

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Thalamic nuclei atrophy at high and heterogenous rates during cognitively unimpaired human aging.

Eun Young Choi, Lu Tian, Jason Su, Matthew T. Radovan, Thomas Tourdias, Tammy T. Tran, Alexandra N. Trelle, Elizabeth Mormino, Anthony D. Wagner, Brian K. Rutt

NeuroImage, 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, Nikita Ghare, Naomi Zingman-Daniels, Susan Holley, Catherine M. Appleton, Jason Su, Richard L. Wahl

CoRR, 2022

Deep is a Luxury We Don't Have.

Ahmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

WRDet: a breast cancer detector for full-field digital mammograms.

Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

An improved mammography malignancy model with self-supervised learning.

Yen Nhi Truong Vu, Trevor Tsue, Jason Su, Sadanand Singh

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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, Stephen M. Moore, Susan C. Marks, Richard L. Wahl

CoRR, 2020

A Hypersensitive Breast Cancer Detector.

Stefano Pedemonte, Brent Mombourquette, Alexis Goh, Trevor Tsue, Aaron Long, Sadanand Singh, Thomas Paul Matthews, Meet Shah, Jason Su

CoRR, 2020

Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis.

Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Thalamus Optimized Multi Atlas Segmentation (THOMAS): fast, fully automated segmentation of thalamic nuclei from structural MRI.

Jason Su, Francis T. Thomas, Willard S. Kasoff, Thomas Tourdias, Eun Young Choi, Brian K. Rutt, Manojkumar Saranathan

NeuroImage, 2019

2014

Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7 T.

Thomas Tourdias, Manojkumar Saranathan, Ives R. Levesque, Jason Su, Brian K. Rutt

NeuroImage, 2014

2012

Deficient MWF mapping in multiple sclerosis using 3D whole-brain multi-component relaxation MRI.

Hagen H. Kitzler, Jason Su, Michael M. Zeineh, Cynthia Harper-Little, Andrew E. Leung, Marcelo Kremenchutzky, Sean C. L. Deoni, Brian K. Rutt

NeuroImage, 2012

1991

Experience in Testing the Motif Interface.

Jason Su, Paul R. Ritter

IEEE Softw., 1991