282 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN9 papers
- Jinan UniversityCN9 papers
- National Astronomical ObservatoriesCN8 papers
- Peking UniversityCN7 papers
- The University of Texas Southwestern Medical CenterUS6 papers
- Kavli Institute for Theoretical SciencesCN5 papers
- Brera Astronomical ObservatoryIT3 papers
- Institute of Space SciencesES3 papers
- Nanjing University of Science and TechnologyCN3 papers
- Osservatorio Astronomico di PadovaIT3 papers
- South China University of TechnologyCN3 papers
- University of California San DiegoUS3 papers
7 papers · 1 filter
The use of restricted mean time lost under competing risks data
Jingjing Lyu, Yawen Hou, Zheng Chen
Background: Under competing risks, the commonly used sub-distribution hazard ratio (SHR) is not easy to interpret clinically and is valid only under the proportional sub-distributi…
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Jun Ma, Yao Zhang, Song Gu +14
With the unprecedented developments in deep learning, automatic segmentation of main abdominal organs seems to be a solved problem as state-of-the-art (SOTA) methods have achieved…
The optimal design for cylindrical tubes used as acoustic stethoscopes for auscultation in COVID-19 diagnosis
Chuanyang Jiang, Jiaqi Zhao, Jiao Yu
During the COVID-19 outbreak, the auscultation of heart and lung sounds has played an important role in the comprehensive diagnosis and real-time monitoring of confirmed cases. Wit…
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge
Yue Sun, Kun Gao, Zhengwang Wu +30
To better understand early brain growth patterns in health and disorder, it is critical to accurately segment infant brain magnetic resonance (MR) images into white matter (WM), gr…
Automatic Segmentation of Non-Tumor Tissues in Glioma MR Brain Images Using Deformable Registration with Partial Convolutional Networks
Zhongqiang Liu
In brain tumor diagnosis and surgical planning, segmentation of tumor regions and accurate analysis of surrounding normal tissues are necessary for physicians. Pathological variabi…
Unsupervised Deformable Medical Image Registration via Pyramidal Residual Deformation Fields Estimation
Yujia Zhou, Shumao Pang, Jun Cheng +7
Deformation field estimation is an important and challenging issue in many medical image registration applications. In recent years, deep learning technique has become a promising…
CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation
Zhenyuan Ning, Ke Wang, Shengzhou Zhong +2
Breast ultrasound (BUS) image segmentation plays a crucial role in a computer-aided diagnosis system, which is regarded as a useful tool to help increase the accuracy of breast can…