1 citations · 3 across the 15 of their papers we have counts for
4 papers · 1 filter
TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration
Nian Wu, Jiarui Xing, Miaomiao Zhang
This paper presents a novel approach, termed {\em Temporal Latent Residual Network (TLRN)}, to predict a sequence of deformation fields in time-series image registration. The chall…
LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation
Jiarui Xing, Nivetha Jayakumar, Nian Wu +3
Motion and deformation analysis of cardiac magnetic resonance (CMR) imaging videos is crucial for assessing myocardial strain of patients with abnormal heart functions. Recent adva…
Assessment of Clonal Hematopoiesis of Indeterminate Potential and Future Cardiomyopathy from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population
Jiarui Xing, Sangeon Ryu, Shawn Ahn +7
We propose a novel deep learning framework to identify clonal hematopoiesis of indeterminate potential (CHIP), a somatic mutation condition associated with adverse cardiovascular o…
Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images
Jiarui Xing, Nian Wu, Kenneth Bilchick +2
This paper presents a multimodal deep learning framework that utilizes advanced image techniques to improve the performance of clinical analysis heavily dependent on routinely acqu…