1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sun Yat-sen UniversityCN16 papers
- Fudan UniversityCN6 papers
- Zhongshan HospitalCN6 papers
- Brigham and Women's HospitalUS2 papers
- Harvard UniversityUS2 papers
- Shanghai Jiao Tong UniversityCN2 papers
- University of ArizonaUS2 papers
- Beth Israel Deaconess Medical CenterUS1 paper
- Boston CollegeUS1 paper
- Boston UniversityUS1 paper
- Center for Information Technology Research in the Interest of SocietyUS1 paper
- China University of Mining and TechnologyCN1 paper
6 papers · 1 filter
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework
Jun Li, Hongzhang Zhu, Tao Chen +1
Recently, numerous pancreas segmentation methods have achieved promising performance on local single-source datasets. However, these methods don't adequately account for generaliza…
Path and Bone-Contour Regularized Unpaired MRI-to-CT Translation
Teng Zhou, Jax Luo, Yuping Sun +4
Accurate MRI-to-CT translation promises the integration of complementary imaging information without the need for additional imaging sessions. Given the practical challenges associ…
Symmetric Perception and Ordinal Regression for Detecting Scoliosis Natural Image
Xiaojia Zhu, Rui Chen, Xiaoqi Guo +4
Scoliosis is one of the most common diseases in adolescents. Traditional screening methods for the scoliosis usually use radiographic examination, which requires certified experts…
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation
Pengyu Jie, Wanquan Liu, Chenqiang Gao +6
Lesion segmentation on nasal endoscopic images is challenging due to its complex lesion features. Fully-supervised deep learning methods achieve promising performance with pixel-le…
DD-VNB: A Depth-based Dual-Loop Framework for Real-time Visually Navigated Bronchoscopy
Qingyao Tian, Huai Liao, Xinyan Huang +5
Real-time 6 DOF localization of bronchoscopes is crucial for enhancing intervention quality. However, current vision-based technologies struggle to balance between generalization t…
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang, Rui Shi, Donglai Wei +5
We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre-proc…