36 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Peking UniversityCN4 papers
- Chinese Academy of SciencesCN3 papers
- University of Science and Technology of ChinaCN3 papers
- Beihang UniversityCN2 papers
- Institute of Computing TechnologyCN2 papers
- AGH University of KrakowPL1 paper
- Beijing Automotive Group (China)CN1 paper
- Beijing Electronic Science and Technology InstituteCN1 paper
- Capital Medical UniversityCN1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
- George Mason UniversityUS1 paper
- German Cancer Research CenterDE1 paper
4 papers
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge
Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu +33
The segmentation of pelvic fracture fragments in CT and X-ray images is crucial for trauma diagnosis, surgical planning, and intraoperative guidance. However, accurately and effici…
Utilizing entropy to systematically quantify the resting-condition baroreflex regulation function
Bo-Yuan Li, Xiao-Yang Li, Xia Lu +3
Baroreflex is critical to maintain the blood pressure homeostasis, and the quantification of the baroreflex regulation function (BRF) can provide guidance for disease diagnosis, tr…
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Yang Deng, Ce Wang, Yuan Hui +12
Spine-related diseases have high morbidity and cause a huge burden of social cost. Spine imaging is an essential tool for noninvasively visualizing and assessing spinal pathology.…
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models
Pengbo Liu, Hu Han, Yuanqi Du +9
Purpose: Pelvic bone segmentation in CT has always been an essential step in clinical diagnosis and surgery planning of pelvic bone diseases. Existing methods for pelvic bone segme…