activity
20202025
most citedVoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI

9 citations · 24 across the 14 of their papers we have counts for

collaborators

17 papers

cs.CV2025

UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation

Xiaoqi Zhao, Youwei Pang, Chenyang Yu +5

Multi-modal image segmentation faces real-world deployment challenges from incomplete/corrupted modalities degrading performance. While existing methods address training-inference…

eess.IV2025

Anatomically and Metabolically Informed Diffusion for Unified Denoising and Segmentation in Low-Count PET Imaging

Menghua Xia, Kuan-Yin Ko, Der-Shiun Wang +12

Positron emission tomography (PET) image denoising, along with lesion and organ segmentation, are critical steps in PET-aided diagnosis. However, existing methods typically treat t…

physics.med-ph2024

PET mapping of receptor occupancy using joint direct parametric reconstruction

Thibault Marin, Vasily Belov, Yanis Chemli +8

Receptor occupancy (RO) studies using PET neuroimaging play a critical role in the development of drugs targeting the central nervous system (CNS). The conventional approach to est…

cs.CV2022

Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation

Xiaofeng Liu, Fangxu Xing, Georges El Fakhri +1

Unsupervised domain adaptation (UDA) has been a vital protocol for migrating information learned from a labeled source domain to facilitate the implementation in an unlabeled heter…

eess.IV2022

Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince +3

Cycle reconstruction regularized adversarial training -- e.g., CycleGAN, DiscoGAN, and DualGAN -- has been widely used for image style transfer with unpaired training data. Several…

cs.CV2022

Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures

Xiaofeng Liu, Fangxu Xing, Thibault Marin +2

Lesions or organ boundaries visible through medical imaging data are often ambiguous, thus resulting in significant variations in multi-reader delineations, i.e., the source of ale…