Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A
State-of-the-Art Review and Future Perspectives

Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives

28 June 2021

Guang Yang

Papers citing "Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future Perspectives"

6 / 6 papers shown

Title
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review M. Jafari A. Shoeibi Marjane Khodatars Navid Ghassemi Parisa Moridian ... Yu-Dong Zhang Shui-Hua Wang Juan M Gorriz Hamid Alinejad-Rokny U. Acharya 17 0 0 26 Oct 2022
Multi-Modality Cardiac Image Computing: A Survey Lei Li Wangbin Ding Liqun Huang Xiahai Zhuang Vicente Grau 31 31 0 26 Aug 2022
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images Dong Wei Ying Sun P. Chai A. Low S. Ong 27 31 0 21 May 2022
JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets Jun Chen Guang Yang H. Khan Heye Zhang Yanping Zhang Shu Zhao R. Mohiaddin T. Wong D. Firmin J. Keegan GAN MedIm 17 49 0 01 May 2021
Deep learning for cardiac image segmentation: A review C. L. P. Chen C. Qin Huaqi Qiu G. Tarroni Jinming Duan Wenjia Bai Daniel Rueckert SSeg 3DV 53 664 0 09 Nov 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 429 15,438 0 02 Nov 2015