Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation-Reference-Cited by-同舟云学术

Motion Estimation by Deep Learning in 2D Echocardiography: Synthetic Dataset and Validation

Author:

Evain Ewan¹^ORCID,Sun Yunyun¹,Faraz Khuram¹,Garcia Damien¹^ORCID,Saloux Eric²,Gerber Bernhard L.³^ORCID,De Craene Mathieu⁴,Bernard Olivier¹^ORCID

Affiliation:

1. CREATIS, CNRS UMR5220, Inserm U1294, INSA-Lyon, University of Lyon 1, Villeurbanne, France

2. Department of Cardiology, EA4650 SEILIRM, CHU de Caen Normandie, Normandie University, UNICAEN, Caen, France

3. Cliniques Universitaires Saint-Luc UCL, Woluwe-Saint-Lambert, Brussels, Belgium

4. Philips Research Paris (Medisys), Suresnes, France

Funder

Agence Nationale de la Recherche et de la Technologie (ANRT) through the Convention Industrielle de Formation par la Recherche (CIFRE) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference38 articles.

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