Cardiology | Radiology RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance. September 9, 2022
Cardiology | Radiology RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights. August 22, 2022
Cardiology | Radiology A multimodal deep learning model for cardiac resynchronisation therapy response prediction. April 29, 2022
Cardiology | Radiology CinE caRdiac magneTic resonAnce to predIct veNTricular arrhYthmia (CERTAINTY). November 23, 2021
Cardiology | Radiology A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images. October 26, 2021
Artificial Intelligence in Medicine | Cardiology Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs. June 15, 2021
Cardiology | Radiology Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets. October 31, 2020
Cardiology | Radiology Machine Learning-Based Segmentation of Left Ventricular Myocardial Fibrosis from Magnetic Resonance Imaging. June 20, 2020
Cardiology | Radiology Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. June 1, 2020
Cardiology | Radiology Prediction of prognosis in patients with tetralogy of Fallot based on deep learning imaging analysis. March 12, 2020
Cardiology | Radiology A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images. January 17, 2020
Cardiology | Radiology Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function. July 21, 2019