Direct detection of pixel-level myocardial infarction areas via a
deep-learning algorithm

Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2017

10 June 2017

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Papers citing "Direct detection of pixel-level myocardial infarction areas via a deep-learning algorithm"

6 / 6 papers shown

Title
TransCC: Transformer Network for Coronary Artery CCTA Segmentation Chenchu Xu Meng Li Xue Wu ViT MedIm 83 1 0 07 Oct 2023
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images Shuihua Wang A. M. Abdelaty K. Parke J. Arnold G. Mccann Ivan Y. Tyukin 139 8 0 28 Dec 2022
Disarranged Zone Learning (DZL): An unsupervised and dynamic automatic stenosis recognition methodology based on coronary angiography Yanan Dai P. Zhu Bangde Xue Yun Ling Xibao Shi Liang Geng Qi Zhang Jun Liu 57 0 0 03 Oct 2021
Recent Advances in Fibrosis and Scar Segmentation from Cardiac MRI: A State-of-the-Art Review and Future PerspectivesFrontiers in Physiology (Front. Physiol.), 2021 Yinzhe Wu Zeyu Tang Binghuan Li D. Firmin Guang Yang 143 47 0 28 Jun 2021
Deep Learning in Cardiology Paschalis A. Bizopoulos D. Koutsouris MedIm 215 153 0 22 Feb 2019
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks Ezequiel de la Rosa D. Sidibé Thomas Decourselle T. Leclercq A. Cochet A. Lalande 90 18 0 09 Jan 2019