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Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of
  Autism Spectrum Disorder: A Review

Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review

2 July 2020
Marjane Khodatars
A. Shoeibi
Delaram Sadeghi
Navid Ghaasemi
M. Jafari
Parisa Moridian
Ali Khadem
R. Alizadehsani
A. Zare
Yinan Kong
Abbas Khosravi
S. Nahavandi
Sadiq Hussain
U. Acharya
M. Berk
ArXivPDFHTML

Papers citing "Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review"

30 / 30 papers shown
Title
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
Suryansh Vidya
Kush Gupta
Amir Aly
Andy Wills
Emmanuel Ifeachor
Rohit Shankar
34
1
0
19 Sep 2024
Sensing technologies and machine learning methods for emotion
  recognition in autism: Systematic review
Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review
O. Baños
Zhoe Comas-Gonzalez
Javier Medina
Aurora Polo Rodríguez
David Gil
Jesús Peral Cortés
Sandra Amador
Claudia Villalonga
25
5
0
15 May 2024
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection
J. Yu
Zihao Guan
Xinyue Chang
Shujie Liu
Zhen-zhong Shi
Xiumei Liu
Changcai Yang
Riqing Chen
Lanyan Xue
Lifang Wei
17
0
0
28 Jun 2023
A Review of and Roadmap for Data Science and Machine Learning for the
  Neuropsychiatric Phenotype of Autism
A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism
Peter Washington
Dennis Paul Wall
24
40
0
07 Mar 2023
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph
  Representation Learning with Application to Brain Disorder Identification
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
S. Yap
Junn Yong Loo
Chee-Ming Ting
Fuad M. Noman
Raphaël C.-W. Phan
C. Ting
David L. Dowe
17
0
0
14 Feb 2023
Promises and pitfalls of deep neural networks in neuroimaging-based
  psychiatric research
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
13
42
0
20 Jan 2023
ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder
  Facial Diagnosis
ViTASD: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis
Xu Cao
Wenqian Ye
Elena Sizikova
Xue Bai
Megan Coffee
H. Zeng
Jianguo Cao
22
16
0
30 Oct 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
6
74
0
20 Jun 2022
Meta-data Study in Autism Spectrum Disorder Classification Based on
  Structural MRI
Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI
Ruimin Ma
Yanlin Wang
Yanjie Wei
Yi-Lun Pan
21
2
0
09 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
30
54
0
31 May 2022
Identification of Autism spectrum disorder based on a novel feature
  selection method and Variational Autoencoder
Identification of Autism spectrum disorder based on a novel feature selection method and Variational Autoencoder
F. Zhang
Yanjie Wei
Jin Liu
Yanling Wang
Wenhui Xi
Yi-Lun Pan
20
26
0
07 Apr 2022
Deep Integrated Pipeline of Segmentation Guided Classification of Breast
  Cancer from Ultrasound Images
Deep Integrated Pipeline of Segmentation Guided Classification of Breast Cancer from Ultrasound Images
Muhammad Sakib Khan Inan
F. Alam
Rizwan Hasan
16
45
0
26 Oct 2021
Evaluation of augmentation methods in classifying autism spectrum
  disorders from fMRI data with 3D convolutional neural networks
Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks
Johan Jönemo
David Abramian
Anders Eklund
MedIm
23
16
0
20 Oct 2021
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
A. Zare
A. Shoeibi
Narges Shafaei Bajestani
Parisa Moridian
R. Alizadehsani
Majid Halaji
Abbas Khosravi
18
11
0
12 Sep 2021
What happens in Face during a facial expression? Using data mining
  techniques to analyze facial expression motion vectors
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
M. Roshanzamir
R. Alizadehsani
Mahdi Roshanzamir
A. Shoeibi
Juan M Gorriz
Abbas Khosravi
S. Nahavandi
CVBM
13
10
0
12 Sep 2021
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
28
107
0
06 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
18
127
0
02 Sep 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
26
49
0
29 May 2021
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
24
125
0
11 May 2021
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and
  Transfer Learning
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
Navid Ghassemi
A. Shoeibi
Marjane Khodatars
Jónathan Heras
Alireza Rahimi
A. Zare
R. B. Pachori
Juan M Gorriz
MedIm
35
56
0
24 Apr 2021
Combining a Convolutional Neural Network with Autoencoders to Predict
  the Survival Chance of COVID-19 Patients
Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients
F. Khozeimeh
Danial Sharifrazi
N. H. Izadi
Javad Hassannataj Joloudari
A. Shoeibi
...
Z. Sani
H. Moosaei
Abbas Khosravi
S. Nahavandi
Sheikh Mohammed Shariful Islam
24
80
0
18 Apr 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
17
105
0
24 Feb 2021
Fusion of convolution neural network, support vector machine and Sobel
  filter for accurate detection of COVID-19 patients using X-ray images
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Danial Sharifrazi
R. Alizadehsani
M. Roshanzamir
Javad Hassannataj Joloudari
A. Shoeibi
...
S. Nahavandi
M. Panahiazar
A. Zare
Sheikh Mohammed Shariful Islam
U. Acharya
24
140
0
13 Feb 2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and
  Limited Labeled COVID-19 Data
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
R. Alizadehsani
Danial Sharifrazi
N. H. Izadi
Javad Hassannataj Joloudari
A. Shoeibi
...
F. Khozeimeh
Abbas Khosravi
S. Nahavandi
Sheikh Mohammed Shariful Islam
U. Acharya
16
59
0
12 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
231
968
0
13 Dec 2020
Handling of uncertainty in medical data using machine learning and
  probability theory techniques: A review of 30 years (1991-2020)
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
R. Alizadehsani
M. Roshanzamir
Sadiq Hussain
Abbas Khosravi
Afsaneh Koohestani
...
M. Panahiazar
S. Nahavandi
D. Srinivasan
A. Atiya
U. Acharya
OOD
18
98
0
23 Aug 2020
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
Epileptic Seizures Detection Using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
Navid Ghassemi
M. Jafari
Parisa Moridian
...
Diba Aminshahidi
Sadiq Hussain
M. Rouhani
S. Nahavandi
U. Acharya
16
258
0
02 Jul 2020
Material Recognition for Automated Progress Monitoring using Deep
  Learning Methods
Material Recognition for Automated Progress Monitoring using Deep Learning Methods
Hadi Mahami
Navid Ghassemi
Mohammad Tayarani Darbandi
A. Shoeibi
Sadiq Hussain
F. Nasirzadeh
R. Alizadehsani
D. Nahavandi
Abbas Khosravi
S. Nahavandi
3DV
8
25
0
29 Jun 2020
Deep CNN ensembles and suggestive annotations for infant brain MRI
  segmentation
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz
Christian Desrosiers
Li Wang
Jing Yuan
D. Shen
Ismail Ben Ayed
3DV
40
113
0
14 Dec 2017
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
207
1,895
0
06 Jun 2016
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