Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI

14 December 2018

Papers citing "Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI"

4 / 4 papers shown

Title
Automatic Quantification of Volumes and Biventricular Function in Cardiac Resonance. Validation of a New Artificial Intelligence Approach A. Curiale Matías Calandrelli Lucca Dellazoppa Mariano Trevisan Jorge Luis BociÁn Juan Pablo Bonifacio G. Mato 22 0 0 03 Jun 2022
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 25 1,044 0 02 Nov 2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders Agostina J. Larrazabal Cesar E. Martínez Ben Glocker Enzo Ferrante 27 65 0 24 Jun 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 337 10,621 0 19 Feb 2017