Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on
2.5 D Residual Squeeze and Excitation Deep Learning Model

Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model

27 May 2020

Abdul Qayyum

Thomas Decourselle

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Papers citing "Segmentation of the Myocardium on Late-Gadolinium Enhanced MRI based on 2.5 D Residual Squeeze and Excitation Deep Learning Model"

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Title
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework Lei Li Fuping Wu Guang Yang Lingchao Xu T. Wong R. Mohiaddin D. Firmin J. Keegan Xiahai Zhuang MedIm 46 69 0 21 Feb 2019
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks Abhijit Guha Roy Nassir Navab Christian Wachinger SSeg 113 380 0 23 Aug 2018
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,819 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,378 0 18 May 2015