1 citations · 1 across the 4 of their papers we have counts for
9 papers
Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
Abdullah Hamdi, Changchun Yang, Xin Gao
Early screening via colonoscopy is critical for colon cancer prevention, yet developing robust AI systems for this domain is hindered by the lack of densely annotated, long-sequenc…
Anatomy-Guided Residual Motion Diffusion for Controllable 4D Cardiac MRI Synthesis
Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2
Developing robust artificial intelligence models for 4D (3D + time) medical imaging is constrained by limited annotated data, inter-device domain shifts, and privacy restrictions.…
Temporally Consistent and Controllable Video Generation of 2D Cine CMR via Latent Space Motion Modeling
Yiheng Cao, Gustavo Andrade-Miranda, Jiatian Zhang +2
Cine cardiac magnetic resonance is the gold standard for assessing cardiac function, but the scarcity of public datasets limits the development of advanced data-driven models. To a…
Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation
Haoyue Li, Yifan Gao, Feng Yuan +2
Foundation models pre-trained on large-scale natural image datasets offer a powerful paradigm for medical image segmentation. However, effectively transferring their learned repres…
GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
Junpeng Ma, Sashuai Zhou, Guanghao Li +9
Video Large Language Models (VLMs) have achieved remarkable success in video understanding, but the significant computational cost from processing dense frames severely limits thei…
Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
Feng Yuan, Yifan Gao, Yuehua Ye +2
Cross-modal medical image synthesis research focuses on reconstructing missing imaging modalities from available ones to support clinical diagnosis. Driven by clinical necessities…