12 citations · 15 across the 7 of their papers we have counts for
7 papers
Let Video Teaches You More: Video-to-Image Knowledge Distillation using DEtection TRansformer for Medical Video Lesion Detection
Yuncheng Jiang, Zixun Zhang, Jun Wei +5
AI-assisted lesion detection models play a crucial role in the early screening of cancer. However, previous image-based models ignore the inter-frame contextual information present…
Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development
Yuncheng Jiang, Yiwen Hu, Zixun Zhang +7
Endorectal ultrasound (ERUS) is an important imaging modality that provides high reliability for diagnosing the depth and boundary of invasion in colorectal cancer. However, the la…
ToDER: Towards Colonoscopy Depth Estimation and Reconstruction with Geometry Constraint Adaptation
Zhenhua Wu, Yanlin Jin, Liangdong Qiu +3
Visualizing colonoscopy is crucial for medical auxiliary diagnosis to prevent undetected polyps in areas that are not fully observed. Traditional feature-based and depth-based reco…
Large Multimodal Agents: A Survey
Junlin Xie, Zhihong Chen, Ruifei Zhang +2
Large language models (LLMs) have achieved superior performance in powering text-based AI agents, endowing them with decision-making and reasoning abilities akin to humans. Concurr…
ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection
Yuncheng Jiang, Zixun Zhang, Yiwen Hu +6
Accurate polyp detection is critical for early colorectal cancer diagnosis. Although remarkable progress has been achieved in recent years, the complex colon environment and concea…
ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
Yuhao Du, Yuncheng Jiang, Shuangyi Tan +5
Colonoscopy analysis, particularly automatic polyp segmentation and detection, is essential for assisting clinical diagnosis and treatment. However, as medical image annotation is…
BCNet: Bronchus Classification via Structure Guided Representation Learning
Wenhao Huang, Haifan Gong, Huan Zhang +5
CT-based bronchial tree analysis is essential for diagnosing lung and airway diseases, yet automatic bronchus classification remains challenging because bronchial topology varies s…