activity
20232026
most citedEnhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement

39 citations · 44 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

Adversarial Patch Generation for Visual-Infrared Dense Prediction Tasks via Joint Position-Color Optimization

He Li, Wenyue He, Weihang Kong +1

Multimodal adversarial attacks for dense prediction remain largely underexplored. In particular, visual-infrared (VI) perception systems introduce unique challenges due to heteroge…

eess.IV2024★ 1 cited

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…

cs.CV2024★ 3 cited

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…

eess.IV2023★ 39 cited

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…

cs.CV2023

ACT-Net: Anchor-context Action Detection in Surgery Videos

Luoying Hao, Yan Hu, Wenjun Lin +5

Recognition and localization of surgical detailed actions is an essential component of developing a context-aware decision support system. However, most existing detection algorith…

cs.GR2023★ 1 cited

Content-Preserving Diffusion Model for Unsupervised AS-OCT image Despeckling

Li Sanqian, Higashita Risa, Fu Huazhu +3

Anterior segment optical coherence tomography (AS-OCT) is a non-invasive imaging technique that is highly valuable for ophthalmic diagnosis. However, speckles in AS-OCT images can…