Jason Su

18 papers Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
From 2D to 3D Without Extra Baggage: Data-Efficient Cancer Detection in Digital Breast Tomosynthesis.
CoRR
Yen Nhi Truong Vu, Dan Guo, Sripad Joshi, Harshit Kumar, Jason Su, Thomas Paul Matthews
2023 — conf
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector.
MICCAI (5)
Yen Nhi Truong Vu, Dan Guo, Ahmed Taha, Jason Su, Thomas Paul Matthews
2023 J jnl
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector.
CoRR
Yen Nhi Truong Vu, Dan Guo, Ahmed Taha, Jason Su, Thomas Paul Matthews
2023 J jnl
Problems and shortcuts in deep learning for screening mammography.
CoRR
Trevor Tsue, Brent Mombourquette, Ahmed Taha, Thomas Paul Matthews, Yen Nhi Truong Vu, Jason Su
2022 J jnl
A deep learning algorithm for reducing false positives in screening mammography.
CoRR
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
2022 — conf
Deep is a Luxury We Don't Have.
MICCAI (3)
Ahmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh
2022 J jnl
Deep is a Luxury We Don't Have.
CoRR
Ahmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh
2022 J jnl
Thalamic nuclei atrophy at high and heterogenous rates during cognitively unimpaired human aging.
NeuroImage
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
2022 — conf
WRDet: a breast cancer detector for full-field digital mammograms.
Computer-Aided Diagnosis
Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh
2021 — conf
An improved mammography malignancy model with self-supervised learning.
Computer-Aided Diagnosis
Yen Nhi Truong Vu, Trevor Tsue, Jason Su, Sadanand Singh
2020 J jnl
A Hypersensitive Breast Cancer Detector.
CoRR
Stefano Pedemonte, Brent Mombourquette, Alexis Goh, Trevor Tsue, Aaron Long, Sadanand Singh, Thomas Paul Matthews, Meet Shah, Jason Su
2020 J jnl
A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams.
CoRR
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
2020 — conf
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis.
Computer-Aided Diagnosis
Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su
2020 J jnl
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis.
CoRR
Sadanand Singh, Thomas Paul Matthews, Meet Shah, Brent Mombourquette, Trevor Tsue, Aaron Long, Ranya Almohsen, Stefano Pedemonte, Jason Su
2019 J jnl
Thalamus Optimized Multi Atlas Segmentation (THOMAS): fast, fully automated segmentation of thalamic nuclei from structural MRI.
NeuroImage
Jason Su, Francis T. Thomas, Willard S. Kasoff, Thomas Tourdias, Eun Young Choi, Brian K. Rutt, Manojkumar Saranathan
2014 J jnl
Visualization of intra-thalamic nuclei with optimized white-matter-nulled MPRAGE at 7 T.
NeuroImage
Thomas Tourdias, Manojkumar Saranathan, Ives R. Levesque, Jason Su, Brian K. Rutt
2012 J jnl
Deficient MWF mapping in multiple sclerosis using 3D whole-brain multi-component relaxation MRI.
NeuroImage
Hagen H. Kitzler, Jason Su, Michael M. Zeineh, Cynthia Harper-Little, Andrew E. Leung, Marcelo Kremenchutzky, Sean C. L. Deoni, Brian K. Rutt
1991 J jnl
Experience in Testing the Motif Interface.
IEEE Softw.
Jason Su, Paul R. Ritter