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MyI-Net: Fully Automatic Detection and Quantification of Myocardial
  Infarction from Cardiovascular MRI Images

MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images

28 December 2022
Shuihua Wang
A. M. Abdelaty
K. Parke
J. Arnold
G. Mccann
Ivan Y. Tyukin
ArXivPDFHTML

Papers citing "MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images"

10 / 10 papers shown
Title
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
Dinggang Shen
Yuxin Shi
131
577
0
10 Mar 2020
Correction of AI systems by linear discriminants: Probabilistic
  foundations
Correction of AI systems by linear discriminants: Probabilistic foundations
A. N. Gorban
A. Golubkov
Bogdan Grechuk
E. M. Mirkes
I. Tyukin
10
63
0
11 Nov 2018
Fast Construction of Correcting Ensembles for Legacy Artificial
  Intelligence Systems: Algorithms and a Case Study
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study
I. Tyukin
Alexander N. Gorban
Stephen Green
Danil Prokhorov
22
15
0
12 Oct 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
121
19,124
0
13 Jan 2018
Knowledge Transfer Between Artificial Intelligence Systems
Knowledge Transfer Between Artificial Intelligence Systems
I. Tyukin
A. Gorban
Konstantin I. Sofeikov
I. Romanenko
10
31
0
05 Sep 2017
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
Chenchu Xu
Lei Xu
Zijian Gao
Shen Zhao
Heye Zhang
Yanping Zhang
Xiuquan Du
Shu Zhao
D. Ghista
Shuo Li
17
34
0
10 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.0K
20,692
0
17 Apr 2017
One-Trial Correction of Legacy AI Systems and Stochastic Separation
  Theorems
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems
Alexander N. Gorban
I. Romanenko
Richard Burton
I. Tyukin
42
29
0
03 Oct 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.0K
76,547
0
18 May 2015
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