A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography. - Kevinminh Ta; Shawn S. Ahn; Allen Lu; John C. Stendahl; Albert J. Sinusas; James S. Duncan (ISBI, 2020)

A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. - Kevinminh Ta; Shawn S. Ahn; John C. Stendahl; Albert J. Sinusas; James S. Duncan (MICCAI (6), 2020)

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. - Daniel H. Pak; Minliang Liu; Shawn S. Ahn; Andrés Caballero; John A. Onofrey; Liang Liang; Wei Sun; James S. Duncan (IPMI, 2021)

Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. - Kevinminh Ta; Shawn S. Ahn; John C. Stendahl; Albert J. Sinusas; James S. Duncan (ISBI, 2021)

Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. - Shawn S. Ahn; Kevinminh Ta; Stephanie Thorn; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (MICCAI (1), 2021)

Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. - Kevinminh Ta; Shawn S. Ahn; John C. Stendahl; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (STACOM@MICCAI, 2021)

Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. - Allen Lu; Shawn S. Ahn; Kevinminh Ta; Nripesh Parajuli; John C. Stendahl; Zhao Liu; Nabil Boutagy; Geng-Shi Jeng; Lawrence H. Staib; Matthew O'Donnell; Albert J. Sinusas; James S. Duncan (IEEE Trans. Medical Imaging, 2021)

Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. - Xiaoran Zhang; Chenyu You; Shawn S. Ahn; Juntang Zhuang; Lawrence H. Staib; James S. Duncan (STACOM@MICCAI, 2022)

Heteroscedastic Uncertainty Estimation for Probabilistic Unsupervised Registration of Noisy Medical Images. - Xiaoran Zhang; Daniel H. Pak; Shawn S. Ahn; Xiaoxiao Li; Chenyu You; Lawrence H. Staib; Albert J. Sinusas; Alexandra L. N. Wong; James S. Duncan (CoRR, 2023)

Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. - Shawn S. Ahn; Kevinminh Ta; Stephanie Thorn; John A. Onofrey; Inga H. Melvinsdottir; Supum Lee; Jonathan Langdon; Albert J. Sinusas; James S. Duncan (Medical Image Anal., 2023)

Heteroscedastic Uncertainty Estimation Framework for Unsupervised Registration. - Xiaoran Zhang; Daniel H. Pak; Shawn S. Ahn; Xiaoxiao Li; Chenyu You; Lawrence H. Staib; Albert J. Sinusas; Alexandra L. N. Wong; James S. Duncan (MICCAI (2), 2024)

Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning. - Daniel H. Pak; Minliang Liu; Theodore Kim; Liang Liang; Andrés Caballero; John A. Onofrey; Shawn S. Ahn; Yilin Xu; Raymond McKay; Wei Sun; Rudolph L. Gleason; James S. Duncan (IEEE Trans. Medical Imaging, 2024)

Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography. - Kevinminh Ta; Shawn S. Ahn; Stephanie Thorn; John C. Stendahl; Xiaoran Zhang; Jonathan Langdon; Lawrence H. Staib; Albert J. Sinusas; James S. Duncan (IEEE Trans. Medical Imaging, 2024)

Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging. - Geng-Shi Jeng; Po-Syun Chen; Min-Yen Hsieh; Zhao Liu; Jonathan Langdon; Shawn S. Ahn; Lawrence H. Staib; John C. Stendahl; Stephanie Thorn; Albert J. Sinusas; James S. Duncan; Matthew O'Donnell (IEEE Trans. Biomed. Eng., 2024)

Using Foundation Models as Pseudo-label Generators for Pre-clinical 4D Cardiac CT Segmentation. - Anne-Marie Rickmann; Stephanie Thorn; Shawn S. Ahn; Supum Lee; Selen Uman; Taras Lysyy; Rachel Burns; Nicole Guerrera; Francis G. Spinale; Jason A. Burdick; Albert J. Sinusas; James S. Duncan (FIMH (2), 2025)