Cardiology | Pediatrics | Radiology Segmentation of the Aorta and Pulmonary Arteries Based on 4D Flow MRI in the Pediatric Setting Using Fully Automated Multi-Site, Multi-Vendor, and Multi-Label Dense U-Net. November 18, 2021
Cardiology | Genetics MVP predicts the pathogenicity of missense variants by deep learning. January 22, 2021
Cardiology | Pediatrics Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases. December 1, 2020
Cardiology | Radiology Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease. October 9, 2020
Cardiology | Radiology An integrated deep learning framework for joint segmentation of blood pool and myocardium. April 9, 2020
Cardiology | Pediatric Cardiology | Radiology Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs. January 22, 2020
Cardiology | Radiology Artificial intelligence in pediatric and adult congenital cardiac MRI: an unmet clinical need. November 18, 2019
Cardiology Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms. July 20, 2019
Cardiology | Radiology Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease. May 17, 2019
Neurology | Pediatrics | Radiology A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. May 8, 2019
Cardiology Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients. April 6, 2019
Cardiology Utility of machine learning algorithms in assessing patients with a systemic right ventricle. March 29, 2019