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Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using
  Deep Transformers and Explainable Artificial Intelligence

Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence

26 October 2022
M. Jafari
A. Shoeibi
Navid Ghassemi
Jónathan Heras
Saiguang Ling
Amin Beheshti
Yudong Zhang
Shuihua Wang
R. Alizadehsani
Juan M Gorriz
U. Acharya
Hamid Alinejad-Rokny
    MedIm
ArXivPDFHTML

Papers citing "Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence"

34 / 34 papers shown
Title
Rethinking Data Augmentation for Robust Visual Question Answering
Rethinking Data Augmentation for Robust Visual Question Answering
Long Chen
Yuhang Zheng
Jun Xiao
OOD
58
43
0
18 Jul 2022
Automatic autism spectrum disorder detection using artificial
  intelligence methods with MRI neuroimaging: A review
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian
Navid Ghassemi
M. Jafari
S. Salloum-Asfar
Delaram Sadeghi
...
A. Subasi
R. Alizadehsani
Juan M Gorriz
Sara A. Abdulla
U. Acharya
39
75
0
20 Jun 2022
Automatic diagnosis of schizophrenia and attention deficit hyperactivity
  disorder in rs-fMRI modality using convolutional autoencoder model and
  interval type-2 fuzzy regression
Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression
A. Shoeibi
Navid Ghassemi
Marjane Khodatars
Parisa Moridian
Abbas Khosravi
A. Zare
Juan M Gorriz
Amir Hossein Chale-Chale
Ali Khadem
U. Rajendra Acharya
56
58
0
31 May 2022
Transformers in Medical Image Analysis: A Review
Transformers in Medical Image Analysis: A Review
Kelei He
Chen Gan
Zhuoyuan Li
I. Rekik
Zihao Yin
Wen Ji
Yang Gao
Qian Wang
Junfeng Zhang
Dinggang Shen
ViT
MedIm
47
267
0
24 Feb 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViT
LM&MA
MedIm
168
689
0
24 Jan 2022
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier,
  Autoencoders and Fuzzy Entropies
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
A. Shoeibi
Navid Ghassemi
Marjane Khodatars
Parisa Moridian
R. Alizadehsani
A. Zare
Abbas Khosravi
A. Subasi
U. Acharya
Juan M Gorriz
49
108
0
06 Sep 2021
Revisiting 3D ResNets for Video Recognition
Revisiting 3D ResNets for Video Recognition
Xianzhi Du
Yeqing Li
Huayu Chen
Rui Qian
Jing Li
Irwan Bello
135
17
0
03 Sep 2021
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM
  Models
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
A. Shoeibi
Delaram Sadeghi
Parisa Moridian
Navid Ghassemi
Jónathan Heras
...
Ali Khadem
Yinan Kong
S. Nahavandi
Yu-Dong Zhang
Juan M Gorriz
57
129
0
02 Sep 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
227
2,812
0
15 Jun 2021
Towards Compact CNNs via Collaborative Compression
Towards Compact CNNs via Collaborative Compression
Yuchao Li
Shaohui Lin
Jianzhuang Liu
QiXiang Ye
Mengdi Wang
Chia-Wen Lin
Fan Yang
Jincheng Ma
Qi Tian
Rongrong Ji
3DV
56
88
0
24 May 2021
Conformer: Local Features Coupling Global Representations for Visual
  Recognition
Conformer: Local Features Coupling Global Representations for Visual Recognition
Zhiliang Peng
Wei Huang
Shanzhi Gu
Lingxi Xie
Yaowei Wang
Jianbin Jiao
QiXiang Ye
ViT
56
538
0
09 May 2021
Visformer: The Vision-friendly Transformer
Visformer: The Vision-friendly Transformer
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
155
218
0
26 Apr 2021
Co-Scale Conv-Attentional Image Transformers
Co-Scale Conv-Attentional Image Transformers
Weijian Xu
Yifan Xu
Tyler A. Chang
Zhuowen Tu
ViT
52
375
0
13 Apr 2021
Going deeper with Image Transformers
Going deeper with Image Transformers
Hugo Touvron
Matthieu Cord
Alexandre Sablayrolles
Gabriel Synnaeve
Hervé Jégou
ViT
133
1,006
0
31 Mar 2021
Rethinking Spatial Dimensions of Vision Transformers
Rethinking Spatial Dimensions of Vision Transformers
Byeongho Heo
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Junsuk Choe
Seong Joon Oh
ViT
492
578
0
30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
B. Guo
ViT
411
21,347
0
25 Mar 2021
Transformer in Transformer
Transformer in Transformer
Kai Han
An Xiao
Enhua Wu
Jianyuan Guo
Chunjing Xu
Yunhe Wang
ViT
375
1,556
0
27 Feb 2021
An overview of artificial intelligence techniques for diagnosis of
  Schizophrenia based on magnetic resonance imaging modalities: Methods,
  challenges, and future works
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi
A. Shoeibi
Navid Ghassemi
Parisa Moridian
Ali Khadem
...
Juan M Gorriz
F. Khozeimeh
Yu-Dong Zhang
S. Nahavandi
U. Acharya
82
106
0
24 Feb 2021
Cascaded Framework for Automatic Evaluation of Myocardial Infarction
  from Delayed-Enhancement Cardiac MRI
Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI
Jun Ma
42
4
0
29 Dec 2020
Cascaded Convolutional Neural Network for Automatic Myocardial
  Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Yichi Zhang
55
24
0
28 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
351
6,731
0
23 Dec 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and
  Challenges
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar
Giuseppe Casalicchio
B. Bischl
AI4TS
AI4CE
66
402
0
19 Oct 2020
Exploring Self-attention for Image Recognition
Exploring Self-attention for Image Recognition
Hengshuang Zhao
Jiaya Jia
V. Koltun
SSL
93
781
0
28 Apr 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
Chen Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
93
682
0
09 Nov 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
604
4,766
0
13 May 2019
Interpretable machine learning: definitions, methods, and applications
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch
Chandan Singh
Karl Kumbier
R. Abbasi-Asl
Bin Yu
XAI
HAI
170
1,436
0
14 Jan 2019
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
117
755
0
10 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
271
9,743
0
25 Oct 2017
Explanation in Artificial Intelligence: Insights from the Social
  Sciences
Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller
XAI
236
4,249
0
22 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
640
130,942
0
12 Jun 2017
Axiomatic Attribution for Deep Networks
Axiomatic Attribution for Deep Networks
Mukund Sundararajan
Ankur Taly
Qiqi Yan
OOD
FAtt
175
5,968
0
04 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.0K
16,931
0
16 Feb 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
756
27,303
0
02 Dec 2015
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
291
7,279
0
20 Dec 2013
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