activity
20202026
most citedInformation-based Disentangled Representation Learning for Unsupervised MR Harmonization

6 citations · 16 across the 17 of their papers we have counts for

collaborators

16 papers

eess.IV2025

MSRepaint: Multiple Sclerosis Repaint with Conditional Denoising Diffusion Implicit Model for Bidirectional Lesion Filling and Synthesis

Jinwei Zhang, Lianrui Zuo, Yihao Liu +10

In multiple sclerosis, lesions interfere with automated magnetic resonance imaging analyses such as brain parcellation and deformable registration, while lesion segmentation models…

cs.CV2025

Surrogate Supervision for Robust and Generalizable Deformable Image Registration

Yihao Liu, Junyu Chen, Lianrui Zuo +7

Objective: Deep learning-based deformable image registration has achieved strong accuracy, but remains sensitive to variations in input image characteristics such as artifacts, fie…

eess.IV2025

UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation

Jinwei Zhang, Lianrui Zuo, Blake E. Dewey +9

Automated segmentation of multiple sclerosis (MS) lesions using multicontrast magnetic resonance (MR) images improves efficiency and reproducibility compared to manual delineation,…

eess.IV2025

Synthetic multi-inversion time magnetic resonance images for visualization of subcortical structures

Savannah P. Hays, Lianrui Zuo, Anqi Feng +7

Purpose: Visualization of subcortical gray matter is essential in neuroscience and clinical practice, particularly for disease understanding and surgical planning.While multi-inver…

eess.IV2025

Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD

Aravind R. Krishnan, Yihao Liu, Kaiwen Xu +9

Paired inspiratory-expiratory CT scans enable the quantification of gas trapping due to small airway disease and emphysema by analyzing lung tissue motion in COPD patients. Deforma…

cs.CV2025

Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices

Lianrui Zuo, Xin Yu, Dingjie Su +7

Body composition analysis provides valuable insights into aging, disease progression, and overall health conditions. Due to concerns of radiation exposure, two-dimensional (2D) sin…