79 citations
- Peking UniversityCN5 papers
- Beijing Institute of TechnologyCN2 papers
- Capital Normal UniversityCN1 paper
- Columbia University Irving Medical CenterUS1 paper
- Georgia Institute of TechnologyUS1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Institute of SoftwareCN1 paper
- IQVIA (France)FR1 paper
- IQVIA (United Kingdom)GB1 paper
- Nantong UniversityCN1 paper
- Quantitative BioSciencesUS1 paper
- Second People's Hospital of NanTongCN1 paper
5 papers
Bone tumor suppression in rabbits by hyperthermia below the clinical safety limit using aligned magnetic bone cement
Xiang Yu, Shan Gao, Dian Wu +12
Demonstrating highly efficient alternating current (AC) magnetic field heating of nanoparticles in physiological environments under clinically safe field parameters has remained a…
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation
Xinru Zhang, Chenghao Liu, Ni Ou +5
Brain lesion segmentation provides a valuable tool for clinical diagnosis, and convolutional neural networks (CNNs) have achieved unprecedented success in the task. Data augmentati…
Model-based cellular kinetic analysis of SARS-CoV-2 infection: different immune response modes and treatment strategies
Zhengqing Zhou, Zhiheng Zhao, Shuyu Shi +10
Increasing number in global COVID-19 cases demands for mathematical model to analyze the interaction between the virus dynamics and the response of innate and adaptive immunity. He…
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao, Cao Xiao, Yasha Wang +3
Deep learning has demonstrated success in health risk prediction especially for patients with chronic and progressing conditions. Most existing works focus on learning disease Netw…
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui, Yanlin Liu, Yuxing Li +6
Automated brain lesion segmentation provides valuable information for the analysis and intervention of patients. In particular, methods based on convolutional neural networks (CNNs…