Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI

Author:

Chen Zhihao,Lalande Alain,Salomon Michel,Decourselle Thomas,Pommier Thibaut,Qayyum Abdul,Shi Jixi,Perrot Gilles,Couturier Raphaël

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference32 articles.

1. Delayed enhancement mr imaging: Utility in myocardial assessment1;Vogel-Claussen;Radiographics,2006

2. Emidec: a database usable for the automatic evaluation of myocardial infarction from delayed-enhancement cardiac mri;Lalande;Data,2020

3. Accurate and objective infarct sizing by contrast-enhanced magnetic resonance imaging in a canine myocardial infarction model;Amado;J. Am. Coll. Cardiol.,2004

4. Relationship of mri delayed contrast enhancement to irreversible injury, infarct age, and contractile function;Kim;Circulation,1999

5. Automatic evaluation of the peri-infarct area of myocardial infarction from delayed enhancement mri;Lalande;Eur. Soc. Magn. Reson. Med. Biol. (ESMRMB), Lisb., Port.,2012

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