research
∙
03/03/2023
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability
Due to the cross-domain distribution shift aroused from diverse medical ...
share
research
∙
01/13/2023
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
Medical images are generally acquired with limited field-of-view (FOV), ...
research
∙
06/09/2022
Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation
Although supervised deep-learning has achieved promising performance in ...
research
∙
03/31/2022
Bayesian Image Super-Resolution with Deep Modeling of Image Statistics
Modeling statistics of image priors is useful for image super-resolution...
research
∙
05/20/2021
A low-rank representation for unsupervised registration of medical images
Registration networks have shown great application potentials in medical...
research
∙
04/17/2021
VSpSR: Explorable Super-Resolution via Variational Sparse Representation
Super-resolution (SR) is an ill-posed problem, which means that infinite...
research
∙
11/25/2020
Rank-One Network: An Effective Framework for Image Restoration
The principal rank-one (RO) components of an image represent the self-si...
research
∙
04/24/2019