The Value of Myocardial Fibrosis Parameters Derived from Cardiac Magnetic Resonance Imaging in Risk Stratification for Patients with Hypertrophic Cardiomyopathy
Taihui Yu(Sun Yat-sen University), Jun Shen(Hubei University of Medicine), Jixin Li(Northeastern University), Zehong Yang(Sun Yat-sen University), Shuanglun Xie, Zhaoxi Cai(Sun Yat-sen Memorial Hospital), Yun Su(Sun Yat-sen University), Wenhao Lin(First Affiliated Hospital of Xi'an Jiaotong University)
Cited by 14
Related Papers
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
|IEEE/ACM Transactions on Computational Biology and Bioinformatics|2021|836
“Armor‐Plating” Enzymes with Metal–Organic Frameworks (MOFs)
|Angewandte Chemie International Edition|2020|400
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images
|medRxiv|2020|334
A Convenient and Versatile Amino‐Acid‐Boosted Biomimetic Strategy for the Nondestructive Encapsulation of Biomacromolecules within Metal–Organic Frameworks
|Angewandte Chemie International Edition|2018|333
Cationic nanoparticle as an inhibitor of cell-free DNA-induced inflammation
|Nature Communications|2018|210