3 citations · 5 across the 5 of their papers we have counts for
5 papers
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling
Lintao Zhang, Xiangcheng Du, LeoWu TomyEnrique +3
For image inpainting, the existing Denoising Diffusion Probabilistic Model (DDPM) based method i.e. RePaint can produce high-quality images for any inpainting form. It utilizes a p…
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI
Lintao Zhang, Mengqi Wu, Lihong Wang +3
Image noise and motion artifacts greatly affect the quality of brain MRI and negatively influence downstream medical image analysis. Previous studies often focus on 2D methods that…
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework
Mengqi Wu, Lintao Zhang, Pew-Thian Yap +2
Brain magnetic resonance imaging (MRI) has been extensively employed across clinical and research fields, but often exhibits sensitivity to site effects arising from non-biological…
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI
Lintao Zhang, Jinjian Wu, Lihong Wang +5
Brain structural MRI has been widely used to assess the future progression of cognitive impairment (CI). Previous learning-based studies usually suffer from the issue of small-size…
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI
Lintao Zhang, Lihong Wang, Minhui Yu +4
Late-life depression (LLD) is a highly prevalent mood disorder occurring in older adults and is frequently accompanied by cognitive impairment (CI). Studies have shown that LLD may…