Publication & Citation Trends
Publications
0 total
Pulmonary blood volume redistribution in COVID-19 patients of different severity and its predictive value for six-month outcomes in the less pathogenic Omicron variant.
Cited by 1
Semantic Scholar
Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT
Cited by 4
Semantic Scholar
U-Net-based computed tomography quantification of viral pneumonia can predict fibrotic interstitial lung abnormalities at 3-month follow-up OA
Cited by 2
Semantic Scholar
Time-dependent CT score-based model for identifying severe/critical COVID-19 at a fever clinic after the emergence of Omicron variant OA
Cited by 1
Semantic Scholar
Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models.
Cited by 37
Semantic Scholar
Photon-counting detector CT provides superior subsolid nodule characterization compared to same-day energy-integrating detector CT
Cited by 6
Semantic Scholar
Balanced Three-Point Water Model OPC3-B for Intrinsically Disordered and Ordered Proteins.
Cited by 12
Semantic Scholar
A pre-treatment CT-based weighted radiomic approach combined with clinical characteristics to predict durable clinical benefits of immunotherapy in advanced lung cancer OA
Cited by 9
Semantic Scholar
Research Topics
COVID-19 Clinical Research Studies
(2)
Protein Structure and Dynamics
(2)
Lung Cancer Diagnosis and Treatment
(2)
Medical Imaging Techniques and Applications
(2)
Radiation Dose and Imaging
(2)
Affiliations
Shanghai Jiao Tong University
Chinese Academy of Medical Sciences & Peking Union Medical College
Peking Union Medical College Hospital
Center for Life Sciences
University of Hong Kong