activity
20242026
most citedRobotic transcatheter tricuspid valve replacement with hybrid enhanced intelligence: a new paradigm and first-in-vivo study

1 citations · 1 across the 5 of their papers we have counts for

collaborators

16 papers

cs.CV2026

VeCAS: Vessel-Focused Contrast-Free Angiogram Synthesis for Vascular Interventions

De-Xing Huang, Chen-Yu Wang, Hao Liang +10

X-ray angiography relies on iodinated contrast agents to visualize vascular structures during image-guided interventions. However, contrast administration carries risks of adverse…

cs.CV2026

DINO-Med3D: Bridging Dimension and Domain Gaps in Volumetric Segmentation via Progressive Adaptation

Haoyu Hu, Xiyao Ma, Shiqi Liu +4

Although DINOv3 has demonstrated remarkable semantic discrimination in natural imagery, its direct application to volumetric medical segmentation is hindered by inherent dimension…

cs.CV2026

Vascular anatomy-aware self-supervised pre-training for X-ray angiogram analysis

De-Xing Huang, Chaohui Yu, Xiao-Hu Zhou +8

X-ray angiography is the gold standard imaging modality for cardiovascular diseases. However, current deep learning approaches for X-ray angiogram analysis are severely constrained…

cs.CV2025

REASON: Probability map-guided dual-branch fusion framework for gastric content assessment

Nu-Fnag Xiao, De-Xing Huang, Le-Tian Wang +8

Accurate assessment of gastric content from ultrasound is critical for stratifying aspiration risk at induction of general anesthesia. However, traditional methods rely on manual t…

cs.RO2025

VLA Model Post-Training via Action-Chunked PPO and Self Behavior Cloning

Si-Cheng Wang, Tian-Yu Xiang, Xiao-Hu Zhou +6

Reinforcement learning (RL) is a promising avenue for post-training vision-language-action (VLA) models, but practical deployment is hindered by sparse rewards and unstable trainin…

eess.SP2025

Online Adaptation via Dual-Stage Alignment and Self-Supervision for Fast-Calibration Brain-Computer Interfaces

Sheng-Bin Duan, Jian-Long Hao, Tian-Yu Xiang +5

Individual differences in brain activity hinder the online application of electroencephalogram (EEG)-based brain computer interface (BCI) systems. To overcome this limitation, this…