2 citations · 4 across the 8 of their papers we have counts for
8 papers
DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image
Ziwei Zhao, Zhixing Zhang, Yuhang Liu +4
In the field of 3D medical imaging, accurately extracting and representing the blood vessels with curvilinear structures holds paramount importance for clinical diagnosis. Previous…
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
Zhao Zhang, Ziwei Zhao, Dong Wang +1
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from t…
Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier
Zhixing Zhang, Ziwei Zhao, Dong Wang +4
Automatic labeling of coronary arteries is an essential task in the practical diagnosis process of cardiovascular diseases. For experienced radiologists, the anatomically predeterm…
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers
AnLan Sun, Zhao Zhang, Meng Lei +3
Breast ultrasound videos contain richer information than ultrasound images, therefore it is more meaningful to develop video models for this diagnosis task. However, the collection…
Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection
Haojun Yu, Youcheng Li, QuanLin Wu +4
During ultrasonic scanning processes, real-time lesion detection can assist radiologists in accurate cancer diagnosis. However, this essential task remains challenging and underexp…
A Unified Mutual Supervision Framework for Referring Expression Segmentation and Generation
Shijia Huang, Feng Li, Hao Zhang +3
Reference Expression Segmentation (RES) and Reference Expression Generation (REG) are mutually inverse tasks that can be naturally jointly trained. Though recent work has explored…
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection
Ziwei Zhao, Dong Wang, Yihong Chen +2
Detecting mass in mammogram is significant due to the high occurrence and mortality of breast cancer. In mammogram mass detection, modeling pairwise lesion correspondence explicitl…
PointScatter: Point Set Representation for Tubular Structure Extraction
Dong Wang, Zhao Zhang, Ziwei Zhao +3
This paper explores the point set representation for tubular structure extraction tasks. Compared with the traditional mask representation, the point set representation enjoys its…