66 citations · 112 across the 9 of their papers we have counts for
9 papers
Phase-Aligned Finite-Fourier Periodic Deformation for 4D Medical Image Interpolation
Haojin Li, Hengzhuo Wang, Zhiheng Ma +3
4D medical image interpolation aims to recover missing volumes from sparsely observed time points and is important for dynamic anatomical analysis in applications such as cardiac M…
Low-Rank Velocity Fields as a Structural Prior for Unsupervised 4D Medical Image Interpolation
Haojin Li, Hengzhuo Wang, Chang Liu +3
Endpoint-only unsupervised 4D medical image interpolation synthesizes intermediate volumes from sparsely sampled sequences with only the start and end volumes available for trainin…
Fundus Image Quality Assessment and Enhancement: a Systematic Review
Heng Li, Haojin Li, Mingyang Ou +5
As an affordable and convenient eye scan, fundus photography holds the potential for preventing vision impairment, especially in resource-limited regions. However, fundus image deg…
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image Segmentation
Haojin Li, Heng Li, Jianyu Chen +4
Decoupling domain-variant information (DVI) from domain-invariant information (DII) serves as a prominent strategy for mitigating domain shifts in the practical implementation of d…
Is Dataset Quality Still a Concern in Diagnosis Using Large Foundation Model?
Ziqin Lin, Heng Li, Zinan Li +2
Recent advancements in pre-trained large foundation models (LFM) have yielded significant breakthroughs across various domains, including natural language processing and computer v…
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation
Heng Li, Haojin Li, Jianyu Chen +3
Deep learning models often encounter challenges in making accurate inferences when there are domain shifts between the source and target data. This issue is particularly pronounced…
VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering
Haili Ye, Xiaoqing Zhang, Yan Hu +2
The morphologies of vessel-like structures, such as blood vessels and nerve fibres, play significant roles in disease diagnosis, e.g., Parkinson's disease. Deep network-based refin…
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement
Heng Li, Ziqin Lin, Zhongxi Qiu +4
Medical imaging provides many valuable clues involving anatomical structure and pathological characteristics. However, image degradation is a common issue in clinical practice, whi…
Deep Triplet Hashing Network for Case-based Medical Image Retrieval
Jiansheng Fang, Huazhu Fu, Jiang Liu
Deep hashing methods have been shown to be the most efficient approximate nearest neighbor search techniques for large-scale image retrieval. However, existing deep hashing methods…