Deep Learning-Based Left Heart Chambers Segmentation and Strain Analysis from Dynamic MRI Images-Reference-Cited by-同舟云学术

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Deep Learning-Based Left Heart Chambers Segmentation and Strain Analysis from Dynamic MRI Images

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Leite Jonas¹,Gueda Moussa¹,Bollache Emilie¹,Bouazizi Khaoula¹,Marsac Perrine¹,Wallet Thomas¹,Prigent Mikaël²,Nguyen Vincent¹,Lamy Jérôme¹,Gallo Antonio¹,Mousseaux Elie³,Redheuil Alban¹,Montalescot Gilles⁴,Dietenbeck Thomas¹,Kachenoura Nadjia¹

Affiliation:

1. Sorbonne Université, INSERM, CNRS,Laboratoire D’Imagerie Biomédicale (LIB),Paris,France

2. Institute of Cardiometabolism and Nutrition (ICAN),Paris,France

3. European Hospital Georges Pompidou,Paris,France

4. Sorbonne University,ACTION Group, Pitié-Salpêtrière Hospital (AP-HP),Paris,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635336.pdf?arnumber=10635336

Reference14 articles.

1. Left atrial aging: a cardiac magnetic resonance feature-tracking study

2. Cardiovascular Magnetic Resonance Myocardial Feature Tracking

3. An Adapted Optical Flow Algorithm for Robust Quantification of Cardiac Wall Motion From Standard Cine-MR Examinations

4. Automatic left ventricle segmentation in short-axis MRI using deep convolutional neural networks and central-line guided level set approach

5. Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation

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