Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data-Reference-Cited by-同舟云学术

Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data

Published:2021-09 Issue:9 Volume:25 Page:3541-3553
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xue Wufeng^ORCID,Li Jiahui,Hu Zhiqiang^ORCID,Kerfoot Eric^ORCID,Clough James^ORCID,Oksuz Ilkay^ORCID,Xu Hao,Grau Vicente^ORCID,Guo Fumin,Ng Matthew^ORCID,Li Xiang^ORCID,Li Quanzheng^ORCID,Liu Lihong,Ma Jin,Grinias Elias^ORCID,Tziritas Georgios^ORCID,Yan Wenjun,Atehortua Angelica^ORCID,Garreau Mireille^ORCID,Jang Yeonggul^ORCID,Debus Alejandro,Ferrante Enzo^ORCID,Yang Guanyu^ORCID,Hua Tiancong,Li Shuo^ORCID

Funder

National Natural Science Foundation of China

Engineering and Physical Sciences Research Council

Wellcome EPSRC Centre for Medical Engineering at the School of Biomedical Engineering and Imaging Sciences, Kings College London WT

Colciencias-Colombia

Université de Rennes 1

Agencia Santafesina de Ciencia, Tecnología e Innovación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/9528502/09372751.pdf?arnumber=9372751

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2. A Motion-Aware DNN Model with Edge Focus Loss and Quality Control for Short-Axis Left Ventricle Segmentation of Cine MR Sequences;Journal of Imaging Informatics in Medicine;2024-02-16

3. A task-unified network with transformer and spatial–temporal convolution for left ventricular quantification;Scientific Reports;2023-08-19

4. Regional perception and multi-scale feature fusion network for cardiac segmentation;Physics in Medicine & Biology;2023-05-02

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