activity
20232026
most citedRaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image Segmentation

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 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.CV2025

DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination

Mingyang Ou, Haojin Li, Yifeng Zhang +4

Self-supervised monocular depth estimation serves as a key task in the development of endoscopic navigation systems. However, performance degradation persists due to uneven illumin…

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★ 2 cited

Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation

Heng Li, Haojin Li, Wei Zhao +4

The annotation scarcity of medical image segmentation poses challenges in collecting sufficient training data for deep learning models. Specifically, models trained on limited data…