1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2023
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation
Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib +1
Insufficiency of training data is a persistent issue in medical image analysis, especially for task-based functional magnetic resonance images (fMRI) with spatio-temporal imaging d…
eess.IV2022
Learning correspondences of cardiac motion from images using biomechanics-informed modeling
Xiaoran Zhang, Chenyu You, Shawn Ahn +3
Learning spatial-temporal correspondences in cardiac motion from images is important for understanding the underlying dynamics of cardiac anatomical structures. Many methods explic…
cs.CV2022★ 1 cited
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
Chenyu You, Jinlin Xiang, Kun Su +5
Many medical datasets have recently been created for medical image segmentation tasks, and it is natural to question whether we can use them to sequentially train a single model th…