Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning

26 September 2018

Papers citing "Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning"

7 / 7 papers shown

Title
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle ExclusionThe Arabian journal for science and engineering (AJSE), 2024 Narjes Benameur Ramzi Mahmoudi Mohamed Deriche Amira fayouka Imene Masmoudi Nessrine Zoghlami 131 0 0 09 Oct 2024
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI Sofie Tilborghs J. Bogaert F. Maes 169 8 0 02 Mar 2022
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factorsBMC Medical Informatics and Decision Making (BMC Med Inform Decis Mak), 2021 Jingyi Zhang Huolan Zhu Yongkai Chen Chenguang Yang Hui-zhong Cheng Yi Li Wenxuan Zhong Fang Wang 125 22 0 20 May 2021
Deep learning for cardiac image segmentation: A reviewFrontiers in Cardiovascular Medicine (Front. Cardiovasc. Med.), 2019 Chen Chen C. Qin Huaqi Qiu G. Tarroni Yanfu Zhang Wenjia Bai Daniel Rueckert SSeg 3DV 302 767 0 09 Nov 2019
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos Sihong Chen Kai Ma Yefeng Zheng MedIm 101 4 0 01 Apr 2019
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation Shusil Dangi Cristian A. Linte Z. Yaniv 178 72 0 04 Jan 2019
Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning Wufeng Xue A. Islam Mousumi Bhaduri Shuo Li 103 76 0 25 May 2017