92 citations · 117 across the 5 of their papers we have counts for
5 papers
SegRap2025: A Benchmark of Gross Tumor Volume and Lymph Node Clinical Target Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
Jia Fu, Litingyu Wang, He Li +27
Accurate delineation of Gross Tumor Volume (GTV), Lymph Node Clinical Target Volume (LN CTV), and Organ-at-Risk (OAR) from Computed Tomography (CT) scans is essential for precise r…
Unified Start, Personalized End: Progressive Pruning for Efficient 3D Medical Image Segmentation
Linhao Li, Yiwen Ye, Ziyang Chen +1
3D medical image segmentation often faces heavy resource and time consumption, limiting its scalability and rapid deployment in clinical environments. Existing efficient segmentati…
Interactive Gadolinium-Free MRI Synthesis: A Transformer with Localization Prompt Learning
Linhao Li, Changhui Su, Yu Guo +3
Contrast-enhanced magnetic resonance imaging (CE-MRI) is crucial for tumor detection and diagnosis, but the use of gadolinium-based contrast agents (GBCAs) in clinical settings rai…
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
Qi Ming, Zhiqiang Zhou, Lingjuan Miao +2
Arbitrary-oriented objects widely appear in natural scenes, aerial photographs, remote sensing images, etc., thus arbitrary-oriented object detection has received considerable atte…
A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box
Linhao Li, Zhiqiang Zhou, Bo Wang +2
Currently, reliable and accurate ship detection in optical remote sensing images is still challenging. Even the state-of-the-art convolutional neural network (CNN) based methods ca…