Cardiology | Oncology | Radiology Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patients. March 21, 2024
Cardiology | Radiology Active learning for left ventricle segmentation in echocardiography. March 13, 2024
Cardiology | Radiology An Efficient Capsule-based Network for 2D Left Ventricle Segmentation in Echocardiography Images. December 12, 2023
Cardiology | Cardiothoracic Surgery Fully Automated 3D Segmentation and Diffeomorphic Medial Modeling of the Left Ventricle Mitral Valve Complex in Ischemic Mitral Regurgitation. June 30, 2022
Cardiology Explicit and automatic ejection fraction assessment on 2D cardiac ultrasound with a deep learning-based approach. May 26, 2022
Cardiology | Radiology Neural network-based left ventricle geometry prediction from CMR images with application in biomechanics. September 17, 2021
Cardiology | Radiology Residual Learning: A New Paradigm to Improve Deep Learning-Based Segmentation of the Left Ventricle in Magnetic Resonance Imaging Cardiac Images. September 1, 2021
Cardiology | Radiology A Dense RNN for Sequential Four-Chamber View Left Ventricle Wall Segmentation and Cardiac State Estimation. August 23, 2021
Cardiology | Radiology An Adversarial Network Architecture Using 2D U-Net Models for Segmentation of Left Ventricle from Cine Cardiac MRI. July 25, 2020
Cardiology | Radiology Machine Learning-Based Segmentation of Left Ventricular Myocardial Fibrosis from Magnetic Resonance Imaging. June 20, 2020
Cardiology | Radiology A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images. March 30, 2020