Gorczowski, K.[Kevin],
Styner, M.[Martin],
Jeong, J.Y.[Ja Yeon],
Marron, J.S.,
Piven, J.[Joseph],
Hazlett, H.C.[Heather Cody],
Pizer, S.M.[Stephen M.],
Gerig, G.[Guido],
Multi-Object Analysis of Volume, Pose, and Shape Using Statistical
Discrimination,
PAMI(32), No. 4, April 2010, pp. 652-661.
IEEE DOI
1003
BibRef
Earlier:
Statistical Shape Analysis of Multi-Object Complexes,
CVPR07(1-8).
IEEE DOI
0706
Statistical shape analysis to discriminate between 2 populations.
Non-Euclidean metrics for distances. High-dimensional, low sample size.
Apply to autism study of brain structures.
BibRef
Liu, Z.Y.[Zhi-Yuan],
Damon, J.N.[James N.],
Marron, J.S.,
Pizer, S.M.[Stephen M.],
Geometric and Statistical Models for Analysis of Two-Object Complexes,
IJCV(131), No. 8, August 2023, pp. 1877-1891.
Springer DOI
2307
BibRef
Goodrich, M.A.[Michael A.],
Colton, M.[Mark],
Brinton, B.[Bonnie],
Fujiki, M.[Martin],
Atherton, J.A.[J. Alan],
Robinson, L.[Lee],
Ricks, D.[Daniel],
Maxfield, M.H.[Margaret Hansen],
Acerson, A.[Aersta],
Incorporating a robot into an autism therapy team,
IEEE_Int_Sys(27), No. 2, 2012, pp. 52-59.
IEEE DOI
1206
BibRef
Fredo, A.R.J.[A.R. Jac],
Kavitha, G.,
Ramakrishnan, S.,
Segmentation and analysis of brain subcortical regions using
regularized multiphase level set in autistic MR images,
IJIST(24), No. 3, 2014, pp. 256-262.
DOI Link
1408
autism
BibRef
Kaya, H.,
Ozkaptan, T.,
Salah, A.A.,
Gurgen, F.,
Random Discriminative Projection Based Feature Selection with
Application to Conflict Recognition,
SPLetters(22), No. 6, June 2015, pp. 671-675.
IEEE DOI
1411
Autism
BibRef
Nguyen, T.,
Duong, T.,
Venkatesh, S.,
Phung, D.Q.,
Autism Blogs: Expressed Emotion, Language Styles and Concerns in
Personal and Community Settings,
AffCom(6), No. 3, July 2015, pp. 312-323.
IEEE DOI
1509
Autism
BibRef
Cheung, S.C.S.[Sen-Ching Samson],
Integrating Multimedia into Autism Intervention,
MultMedMag(22), No. 4, October 2015, pp. 4-10.
IEEE DOI
1512
Cameras
BibRef
Bautista, M.A.,
Hernandez-Vela, A.,
Escalera, S.,
Igual, L.,
Pujol, O.,
Moya, J.,
Violant, V.,
Anguera, M.T.,
A Gesture Recognition System for Detecting Behavioral Patterns of
ADHD,
Cyber(46), No. 1, January 2016, pp. 136-147.
IEEE DOI
1601
Feature extraction
BibRef
Venkataraman, A.,
Yang, D.Y.J.,
Pelphrey, K.A.,
Duncan, J.S.,
Bayesian Community Detection in the Space of Group-Level Functional
Differences,
MedImg(35), No. 8, August 2016, pp. 1866-1882.
IEEE DOI
1608
Autism
BibRef
Cassidy, S.A.,
Stenger, B.,
van Dongen, L.,
Yanagisawa, K.,
Anderson, R.,
Wan, V.,
Baron-Cohen, S.,
Cipolla, R.,
Expressive visual text-to-speech as an assistive technology for
individuals with autism spectrum conditions,
CVIU(148), No. 1, 2016, pp. 193-200.
Elsevier DOI
1606
Autism spectrum conditions
BibRef
Zhang, L.,
Wade, J.,
Bian, D.,
Fan, J.,
Swanson, A.,
Weitlauf, A.,
Warren, Z.,
Sarkar, N.,
Cognitive Load Measurement in a Virtual Reality-Based Driving System
for Autism Intervention,
AffCom(8), No. 2, April 2017, pp. 176-189.
IEEE DOI
1706
Autism, Electroencephalography, Intelligent systems, Physiology,
Training, Variable speed drives, Vehicles, Multi-modal recognition,
autism spectrum disorders, cognitive models, driving simulator,
physiological measures, virtual, realities
BibRef
Zhao, H.,
Swanson, A.R.,
Weitlauf, A.S.,
Warren, Z.E.,
Sarkar, N.,
Hand-in-Hand: A Communication-Enhancement Collaborative Virtual
Reality System for Promoting Social Interaction in Children With
Autism Spectrum Disorders,
HMS(48), No. 2, April 2018, pp. 136-148.
IEEE DOI
1804
Autism, Collaboration, Games, Real-time systems, Tracking, Training,
Virtual reality, Autism intervention,
communication and social interaction
BibRef
Guha, T.,
Yang, Z.,
Grossman, R.B.,
Narayanan, S.S.,
A Computational Study of Expressive Facial Dynamics in Children with
Autism,
AffCom(9), No. 1, January 2018, pp. 14-20.
IEEE DOI
1804
emotion recognition, face recognition, image capture,
image motion analysis, medical disorders, neurophysiology,
perception
BibRef
Schuller, B.,
What Affective Computing Reveals about Autistic Children's Facial
Expressions of Joy or Fear,
Computer(51), No. 6, June 2018, pp. 7-8.
IEEE DOI
1807
Review of articles in transactions.
Spotlight on Transactions, affective computing, autism, emotion,
facial expression, facial recognition.
BibRef
Bhaumik, D.,
Jie, F.,
Nordgren, R.,
Bhaumik, R.,
Sinha, B.K.,
A Mixed-Effects Model for Detecting Disrupted Connectivities in
Heterogeneous Data,
MedImg(37), No. 11, November 2018, pp. 2381-2389.
IEEE DOI
1811
Autism, Functional magnetic resonance imaging, Data models,
Feature extraction, Analytical models, Brain modeling,
mixed-effects models
BibRef
Krishnappa Babu, P.R.,
Oza, P.,
Lahiri, U.,
Gaze-Sensitive Virtual Reality Based Social Communication Platform
for Individuals with Autism,
AffCom(9), No. 4, October 2018, pp. 450-462.
IEEE DOI
1812
Face recognition, Avatars, Physiology, Autism, Biomarkers,
Real-time systems, Autism, virtual reality, eye-tracking,
anxiety
BibRef
Anzalone, S.M.[Salvatore Maria],
Xavier, J.[Jean],
Boucenna, S.[Sofiane],
Billeci, L.[Lucia],
Narzisi, A.[Antonio],
Muratori, F.[Filippo],
Cohen, D.[David],
Chetouani, M.[Mohamed],
Quantifying patterns of joint attention during human-robot
interactions: An application for autism spectrum disorder assessment,
PRL(118), 2019, pp. 42-50.
Elsevier DOI
1902
Social robotics, Autism spectrum disorder, Behavioural analysis
BibRef
Wipprecht, A.,
A brain interface to capture your attention: An EEG headpiece for
children with ADHD is now maker friendly-[Resources_Hands on],
Spectrum(56), No. 6, June 2019, pp. 14-15.
IEEE DOI
1906
BibRef
Yang, W.K.[Wan-Kou],
Wang, S.J.[Su-Jing],
Khanna, P.[Pritee],
Li, X.[Xiong],
Pattern Recognition Techniques for Non Verbal Human Behavior (NVHB),
PRL(125), 2019, pp. 684-686.
Elsevier DOI
1909
BibRef
Icer, S.[Semra],
Benli, S.G.[Serife Gengec],
Ozmen, S.[Sevgi],
Differences in brain networks of children with ADHD:
Whole-brain analysis of resting-state fMRI,
IJIST(29), No. 4, 2019, pp. 645-662.
DOI Link
1911
attention deficit hyperactivity disorder,
functional connectivity, resting state networks
BibRef
Talebi, N.,
Nasrabadi, A.M.,
Mohammad-Rezazadeh, I.,
Coben, R.,
nCREANN: Nonlinear Causal Relationship Estimation by Artificial
Neural Network; Applied for Autism Connectivity Study,
MedImg(38), No. 12, December 2019, pp. 2883-2890.
IEEE DOI
1912
Brain modeling, Artificial neural networks, Time series analysis,
Biomedical measurement, Neurons, Autism, Neuroscience,
autism spectrum disorder
BibRef
Ren, Y.[Yudan],
Wang, S.[Shuai],
Exploring Functional Connectivity Biomarker in Autism Using Group-wise
Sparse Representation,
MBIA19(21-29).
Springer DOI
1912
BibRef
Huang, Y.[Ying],
He, Z.B.[Zhi-Bin],
Liu, T.M.[Tian-Ming],
Guo, L.[Lei],
Zhang, T.[Tuo],
Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism
Spectral Brains,
MBIA19(57-65).
Springer DOI
1912
BibRef
Zhao, W.,
Liu, X.,
Qiu, T.,
Luo, X.,
Virtual Avatar-Based Life Coaching for Children With Autism Spectrum
Disorder,
Computer(53), No. 2, February 2020, pp. 26-34.
IEEE DOI
2002
BibRef
Fabiano, D.[Diego],
Canavan, S.[Shaun],
Agazzi, H.[Heather],
Hinduja, S.[Saurabh],
Goldgof, D.[Dmitry],
Gaze-based classification of autism spectrum disorder,
PRL(135), 2020, pp. 204-212.
Elsevier DOI
2006
Machine learning, Autism spectrum disorder, Classification, Gaze
BibRef
Rojo, D.[Diego],
Mayor, J.[Jesús],
García Rueda, J.J.[José Jesús],
Raya, L.[Laura],
A Virtual Reality Training Application for Adults With
Asperger's Syndrome,
IEEE_CGA(39), No. 2, March-April 2019, pp. 104-111.
IEEE DOI
BibRef
1903
Rapp, A.,
Cena, F.,
Schifanella, C.,
Boella, G.,
Finding a Secure Place: A Map-Based Crowdsourcing System for People
With Autism,
HMS(50), No. 5, October 2020, pp. 424-433.
IEEE DOI
2009
Autism, Urban areas, Human computer interaction, Crowdsourcing,
Interviews, Sociology, Statistics, Autism, crowdsourcing,
spatiality
BibRef
Sarabadani, S.,
Schudlo, L.C.,
Samadani, A.A.,
Kushski, A.,
Physiological Detection of Affective States in Children with Autism
Spectrum Disorder,
AffCom(11), No. 4, October 2020, pp. 588-600.
IEEE DOI
2011
Physiology, Electromyography, Electrocardiography, Sociology,
Statistics, Temperature measurement, Pediatrics, Emotion detection,
classification
BibRef
Liu, J.[Jin],
Sheng, Y.[Yu],
Lan, W.[Wei],
Guo, R.[Rui],
Wang, Y.F.[Yu-Fei],
Wang, J.X.[Jian-Xin],
Improved ASD classification using dynamic functional connectivity and
multi-task feature selection,
PRL(138), 2020, pp. 82-87.
Elsevier DOI
1806
ASD Classification, Resting state functional MRI,
Dynamic functional connectivity, Multi-kernel learning
BibRef
Wang, M.,
Zhang, D.,
Huang, J.,
Yap, P.,
Shen, D.,
Liu, M.,
Identifying Autism Spectrum Disorder With Multi-Site fMRI via
Low-Rank Domain Adaptation,
MedImg(39), No. 3, March 2020, pp. 644-655.
IEEE DOI
2004
Functional magnetic resonance imaging, Diseases, Data models,
Sparse matrices, Matrix decomposition, Medical diagnosis, fMRI
BibRef
Gutiérrez, J.[Jesús],
Che, Z.H.[Zhao-Hui],
Zhai, G.T.[Guang-Tao],
Le Callet, P.[Patrick],
Saliency4ASD: Challenge, dataset and tools for visual attention
modeling for autism spectrum disorder,
SP:IC(92), 2021, pp. 116092.
Elsevier DOI
2101
Eye movement, Visual attention, Images,
Autism spectrum disorder, Classification, Saliency, Scanpath, Toolbox
BibRef
Hashemi, J.,
Dawson, G.,
Carpenter, K.L.H.,
Campbell, K.,
Qiu, Q.,
Espinosa, S.,
Marsan, S.,
Baker, J.P.,
Egger, H.L.,
Sapiro, G.,
Computer Vision Analysis for Quantification of Autism Risk Behaviors,
AffCom(12), No. 1, January 2021, pp. 215-226.
IEEE DOI
2103
Pediatrics, Motion pictures, Tools, Autism, Encoding, Cameras, Standards,
autism, behavior elicitation, behavior coding, mobile-health
BibRef
Fang, Y.M.[Yu-Ming],
Zhang, H.Y.[Hai-Yan],
Zuo, Y.F.[Yi-Fan],
Jiang, W.H.[Wen-Hui],
Huang, H.Q.[Han-Qin],
Yan, J.B.[Jie-Bin],
Visual attention prediction for Autism Spectrum Disorder with
hierarchical semantic fusion,
SP:IC(93), 2021, pp. 116186.
Elsevier DOI
2103
Visual attention, Autism Spectrum Disorder,
Hierarchical semantic fusion, Deep learning
BibRef
Mazumdar, P.[Pramit],
Arru, G.[Giuliano],
Battisti, F.[Federica],
Early detection of children with Autism Spectrum Disorder based on
visual exploration of images,
SP:IC(94), 2021, pp. 116184.
Elsevier DOI
2104
Autism spectrum disorder, Object detection, Fixations,
Classification, Visual saliency
BibRef
Xu, S.N.[Shu-Ning],
Yan, J.B.[Jun-Bing],
Hu, M.H.[Meng-Han],
A new bio-inspired metric based on eye movement data for classifying
ASD and typically developing children,
SP:IC(94), 2021, pp. 116171.
Elsevier DOI
2104
Autism Spectrum Disorder (ASD), Saliency model, Curve similarity
BibRef
Liaqat, S.[Sidrah],
Wu, C.R.[Chong-Ruo],
Duggirala, P.R.[Prashanth Reddy],
Cheung, S.C.S.[Sen-Ching Samson],
Chuah, C.N.[Chen-Nee],
Ozonoff, S.[Sally],
Young, G.[Gregory],
Predicting ASD diagnosis in children with synthetic and image-based
eye gaze data,
SP:IC(94), 2021, pp. 116198.
Elsevier DOI
2104
Autism spectrum disorders, Eye gaze data, Deep learning
BibRef
Wei, W.J.[Wei-Jie],
Liu, Z.[Zhi],
Huang, L.J.[Li-Jin],
Wang, Z.Q.[Zi-Qiang],
Chen, W.Y.[Wei-Yu],
Zhang, T.H.[Tian-Hong],
Wang, J.J.[Ji-Jun],
Xu, L.H.[Li-Hua],
Identify autism spectrum disorder via dynamic filter and deep
spatiotemporal feature extraction,
SP:IC(94), 2021, pp. 116195.
Elsevier DOI
2104
Autism spectrum disorder identification, Dynamic filter,
Eye movement, Field of view
BibRef
Bovery, M.[Matthieu],
Dawson, G.[Geraldine],
Hashemi, J.[Jordan],
Sapiro, G.[Guillermo],
A Scalable Off-the-Shelf Framework for Measuring Patterns of
Attention in Young Children and Its Application in Autism Spectrum
Disorder,
AffCom(12), No. 3, July 2021, pp. 722-731.
IEEE DOI
2109
Motion pictures, Cameras, Pediatrics, Autism, Tablet computers,
Monitoring, Autism spectrum disorder,
stimuli design
BibRef
Zheng, W.H.[Wei-Hao],
Eilam-Stock, T.[Tehila],
Wu, T.T.[Ting-Ting],
Spagna, A.[Alfredo],
Chen, C.[Chao],
Hu, B.[Bin],
Fan, J.[Jin],
Multi-Feature Based Network Revealing the Structural Abnormalities in
Autism Spectrum Disorder,
AffCom(12), No. 3, July 2021, pp. 732-742.
IEEE DOI
2109
Feature extraction, Autism, Support vector machines,
Medical diagnostic imaging, Surface morphology,
diagnostic biomarker
BibRef
Piana, S.[Stefano],
Malagoli, C.[Chiara],
Usai, M.C.[Maria Carmen],
Camurri, A.[Antonio],
Effects of Computerized Emotional Training on Children with High
Functioning Autism,
AffCom(12), No. 4, October 2021, pp. 1045-1054.
IEEE DOI
2112
Emotion recognition, Games, Feature extraction, Kinematics,
Training data, Sensors, Data mining, Autism, Emotion recognition,
autism spectrum condition
BibRef
Grond, F.[Florian],
Motta-Ochoa, R.[Rossio],
Miyake, N.[Natalie],
Tembeck, T.[Tamar],
Park, M.[Melissa],
Blain-Moraes, S.[Stefanie],
Participatory Design of Affective Technology:
Interfacing Biomusic and Autism,
AffCom(13), No. 1, January 2022, pp. 250-261.
IEEE DOI
2203
Stakeholders, Conferences, Autism, Physiology, Affective computing,
Skin, Feature extraction, Affective technology,
ethics
BibRef
Liu, J.J.[Jing-Jing],
Wang, Z.Y.[Zhi-Yong],
Xu, K.[Kai],
Ji, B.[Bin],
Zhang, G.Y.[Gong-Yue],
Wang, Y.[Yi],
Deng, J.X.[Jing-Xin],
Xu, Q.[Qiong],
Xu, X.[Xiu],
Liu, H.H.[Hong-Hai],
Early Screening of Autism in Toddlers via Response-To-Instructions
Protocol,
Cyber(52), No. 5, May 2022, pp. 3914-3924.
IEEE DOI
2206
Autism, Pediatrics, Protocols, Toy manufacturing industry, Cameras,
Estimation, Autistic early screening, gaze estimation, social behavior disorder
BibRef
He, L.[Ling],
He, F.[Fei],
Li, Y.Y.[Yuan-Yuan],
Xiong, X.[Xi],
Zhang, J.[Jing],
A Robust Movement Quantification Algorithm of Hyperactivity Detection
for ADHD Children Based on 3D Depth Images,
IP(31), 2022, pp. 5025-5037.
IEEE DOI
2208
Pediatrics, Symmetric matrices, Behavioral sciences,
Feature extraction, Monitoring, Image edge detection,
movement quantification
BibRef
Kunda, M.[Mwiza],
Zhou, S.[Shuo],
Gong, G.L.[Gao-Lang],
Lu, H.P.[Hai-Ping],
Improving Multi-Site Autism Classification via Site-Dependence
Minimization and Second-Order Functional Connectivity,
MedImg(42), No. 1, January 2023, pp. 55-65.
IEEE DOI
2301
Autism, Functional magnetic resonance imaging,
Feature extraction, Neuroimaging, Time series analysis, Germanium,
functional connectivity
BibRef
Jamwal, I.[Indu],
Malhotra, D.[Deepti],
Mengi, M.[Mehak],
A systematic study of intelligent autism spectrum disorder detector,
IJCVR(13), No. 2, 2023, pp. 219-234.
DOI Link
2303
BibRef
Guo, A.Z.[Alice Z.],
Automated Autism Detection Based on Characterizing Observable
Patterns From Photos,
AffCom(14), No. 1, January 2023, pp. 836-841.
IEEE DOI
2303
Faces, Feature extraction, Autism, Histograms, Affective computing,
Cameras, Autism spectrum disorder (ASD), automated ASD detection,
attention and expression mined from photos
BibRef
Duan, H.Z.[Hui-Zhan],
Liu, Z.[Zhi],
Wei, W.J.[Wei-Jie],
Zhang, T.H.[Tian-Hong],
Wang, J.[Jijun],
Xu, L.H.[Li-Hua],
Liu, H.C.[Hai-Chun],
Chen, T.[Tao],
Atypical Salient Regions Enhancement Network for visual saliency
prediction of individuals with Autism Spectrum Disorder,
SP:IC(115), 2023, pp. 116968.
Elsevier DOI
2306
Atypical visual saliency, Saliency prediction, Fixation prediction,
Autism spectrum disorder, Deep neural network
BibRef
Zhang, N.[Na],
Ruan, M.[Mindi],
Wang, S.[Shuo],
Paul, L.[Lynn],
Li, X.[Xin],
Discriminative Few Shot Learning of Facial Dynamics in Interview
Videos for Autism Trait Classification,
AffCom(14), No. 2, April 2023, pp. 1110-1124.
IEEE DOI
2306
Videos, Autism, Behavioral sciences, Interviews,
Variable speed drives, Visualization, Support vector machines,
scene-level fusion
BibRef
Babu, P.R.K.[Pradeep Raj Krishnappa],
di Martino, J.M.[J. Matias],
Chang, Z.Q.[Zhuo-Qing],
Perochon, S.[Sam],
Carpenter, K.L.H.[Kimberly L. H.],
Compton, S.[Scott],
Espinosa, S.[Steven],
Dawson, G.[Geraldine],
Sapiro, G.[Guillermo],
Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder,
AffCom(14), No. 2, April 2023, pp. 919-930.
IEEE DOI
2306
Pediatrics, Autism, Heuristic algorithms, Mouth, Motion pictures,
Prediction algorithms, Autism spectrum disorder, affective state,
multiscale entropy
BibRef
Ma, K.[Kai],
Huang, S.[Shuo],
Wan, P.[Peng],
Zhang, D.Q.[Dao-Qiang],
Optimal transport based pyramid graph kernel for autism spectrum
disorder diagnosis,
PR(143), 2023, pp. 109716.
Elsevier DOI
2310
Optimal transport, Brain network, Graph kernel,
Autism spectrum disorder, fMRI
BibRef
Cheng, M.[Ming],
Zhang, Y.Y.[Ying-Ying],
Xie, Y.X.[Yi-Xiang],
Pan, Y.[Yueran],
Li, X.[Xiao],
Liu, W.X.[Wen-Xing],
Yu, C.[Chengyan],
Zhang, D.[Dong],
Xing, Y.[Yu],
Huang, X.Q.[Xiao-Qian],
Wang, F.[Fang],
You, C.[Cong],
Zou, Y.Y.[Yuan-Yuan],
Liu, Y.C.[Yu-Chong],
Liang, F.J.[Feng-Jing],
Zhu, H.L.[Hui-Lin],
Tang, C.[Chun],
Deng, H.Z.[Hong-Zhu],
Zou, X.B.[Xia-Bing],
Li, M.[Ming],
Computer-Aided Autism Spectrum Disorder Diagnosis With Behavior
Signal Processing,
AffCom(14), No. 4, October 2023, pp. 2982-3000.
IEEE DOI
2312
BibRef
Ma, Y.L.[Yu-Lan],
Cui, W.G.[Wei-Gang],
Liu, J.Y.[Jing-Yu],
Guo, Y.Z.[Yu-Zhu],
Chen, H.L.[Hui-Ling],
Li, Y.[Yang],
A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion
Network Using Multi-Template for Brain Disorder Diagnosis,
MedImg(43), No. 3, March 2024, pp. 1045-1059.
IEEE DOI Code:
WWW Link.
2403
Feature extraction, Diseases, Fuses, Brain modeling, Autism,
Time series analysis, Organizations, multi-graph cross-attention
BibRef
Jung, W.S.[Won-Sik],
Jeon, E.[Eunjin],
Kang, E.[Eunsong],
Suk, H.I.[Heung-Il],
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD
Diagnosis via Inter-Regional Relation Learning,
MedImg(43), No. 4, April 2024, pp. 1400-1411.
IEEE DOI
2404
Image reconstruction, Brain modeling, Autism, Training,
Technology planning, Task analysis, Support vector machines,
ROI selection
BibRef
Subetha, T.,
Padmanandam, K.[Kayal],
Lakshmi, L.,
Rao, S.L.A.[S.L. Aruna],
Applied-behavioural analysis therapy for autism spectrum disorder
students through virtual reality,
IJCVR(14), No. 3, 2024, pp. 233-249.
DOI Link
2405
BibRef
Mumenin, N.[Nasirul],
Yousuf, M.A.[Mohammad Abu],
Nashiry, M.A.[Md Asif],
Azad, A.K.M.,
Alyami, S.A.[Salem A.],
Lio', P.[Pietro],
Moni, M.A.[Mohammad Ali],
ASDNet: A robust involution-based architecture for diagnosis of
autism spectrum disorder utilising eye-tracking technology,
IET-CV(18), No. 5, 2024, pp. 666-681.
DOI Link
2408
autism spectrum disorder, convolutional neural network,
eye tracking, involutional neural network, uncertainty analysis
BibRef
Wu, J.[Jianyong],
McLain, A.C.[Alexander C.],
Rosile, P.[Paul],
Hood, D.B.[Darryl B.],
Association between Autism Spectrum Disorder and Environmental
Quality in the United States,
IJGI(13), No. 9, 2024, pp. 308.
DOI Link
2410
BibRef
Jannat, S.R.[Sk Rahatul],
Agazzi, H.[Heather],
Canavan, S.[Shaun],
Context-based Dataset for Analysis of Videos of Autistic Children,
FG24(1-9)
IEEE DOI
2408
Autism, Codes, Face recognition, Gesture recognition, Videos
BibRef
Boluk, N.[Nursena],
Kose, H.[Hatice],
Evaluating Gaze Detection for Children with Autism Using the
ChildPlay-R Dataset,
FG24(1-5)
IEEE DOI
2408
Autism, Analytical models, Adaptation models, Accuracy,
Face recognition, Gesture recognition
BibRef
Rani, A.[Asha],
Verma, Y.[Yashaswi],
Activity-based Early Autism Diagnosis Using A Multi-Dataset
Supervised Contrastive Learning Approach,
WACV24(7773-7782)
IEEE DOI
2404
Neurological diseases, Autism, Training data,
Self-supervised learning, Task analysis, Applications,
Video recognition and understanding
BibRef
Jaby, A.[Assil],
Islam, M.B.[Md Baharul],
Ahad, M.A.R.[Md Atiqur Rahman],
ASD-EVNet: An Ensemble Vision Network based on Facial Expression for
Autism Spectrum Disorder Recognition,
MVA23(1-5)
DOI Link
2403
Autism, Image recognition, Face recognition, Machine vision,
Receivers, Predictive models, Transformers
BibRef
Bolpagni, M.[Marco],
Setti, F.[Francesco],
Autism Spectrum Disorder Identification from Visual Exploration of
Images,
CIAP23(I:74-86).
Springer DOI
2312
BibRef
Zahan, S.[Sania],
Gilani, Z.[Zulqarnain],
Hassan, G.M.[Ghulam Mubashar],
Mian, A.[Ajmal],
Human Gesture and Gait Analysis for Autism Detection,
FGAHI23(3328-3337)
IEEE DOI
2309
BibRef
Hustinx, A.[Alexander],
Hellmann, F.[Fabio],
Sümer, Ö.[Ömer],
Javanmardi, B.[Behnam],
André, E.[Elisabeth],
Krawitz, P.[Peter],
Hsieh, T.C.[Tzung-Chien],
Improving Deep Facial Phenotyping for Ultra-rare Disorder
Verification Using Model Ensembles,
WACV23(5007-5017)
IEEE DOI
2302
Codes, Face recognition, Computational modeling, Transfer learning,
Sociology, Applications: Biomedical/healthcare/medicine, visual reasoning
BibRef
Chen, B.[Bowen],
Ren, W.H.[Wei-Hong],
Liu, H.H.[Hong-Hai],
Li, H.P.[Hui-Ping],
Xu, X.[Xiu],
Zhou, B.R.[Bing-Rui],
Xu, Q.[Qiong],
AutoENP: An Auto Rating Pipeline for Expressing Needs via Pointing
Protocol,
ICPR22(3280-3286)
IEEE DOI
2212
Training, Protocols, Fuses, Motion segmentation, Pipelines,
Object detection, Feature extraction
BibRef
Ali, M.T.[Mohamed T.],
ElNakieb, Y.[Yaser],
Shalaby, A.[Ahmed],
Elnakib, A.[Ahmed],
Mahmoud, A.[Ali],
Zai, H.[Huma],
Ghazal, M.[Mohammed],
Barnes, G.[Gregory],
El-Baz, A.[Ayman],
Understanding Autism Using Machine Learning: A Structural MRI Study,
ICPR22(4350-4357)
IEEE DOI
2212
Neuroimaging, Autism, Image segmentation, Cerebral cortex,
Design automation, Magnetic resonance imaging, Machine learning
BibRef
Li, J.[Jicheng],
Bhat, A.[Anjana],
Barmaki, R.[Roghayeh],
Dyadic Movement Synchrony Estimation Under Privacy-preserving
Conditions,
ICPR22(762-769)
IEEE DOI
2212
Autism, Privacy, Estimation, Medical treatment, Skeleton, Synchronization
BibRef
Noman, F.[Fuad],
Yap, S.Y.[Sin-Yee],
Phan, R.C.W.[Raphaël C.W.],
Ombao, H.[Hernando],
Ting, C.M.[Chee-Ming],
Graph Autoencoder-Based Embedded Learning in Dynamic Brain Networks
for Autism Spectrum Disorder Identification,
ICIP22(2891-2895)
IEEE DOI
2211
Autism, Fluctuations, Network topology, Switches,
Functional magnetic resonance imaging, Control systems,
resting-state fMRI
BibRef
Berlin, S.J.[S. Jeba],
Pandian, D.[Deepak],
Rajagopalan, S.S.[Shyam Sundar],
Jayagopi, D.B.[Dinesh-Babu],
Detecting A Child's Stimming Behaviours for Autism Spectrum Disorder
Diagnosis using Rgbpose-Slowfast Network,
ICIP22(3356-3360)
IEEE DOI
2211
Heating systems, Deep learning, Autism, Variable speed drives,
Videos, Autism Spectrum Disorder, RGBPose-SlowFast network
BibRef
Deng, J.S.[Jing-Sheng],
Hasan, M.R.[Md Rakibul],
Mahmud, M.[Minhaz],
Hasan, M.M.[Md Mahbub],
Ahmed, K.A.[Khandaker Asif],
Hossain, M.Z.[Md Zakir],
Diagnosing Autism Spectrum Disorder Using Ensemble 3D-CNN:
A Preliminary Study,
ICIP22(3480-3484)
IEEE DOI
2211
Neuroimaging, Autism, Sensitivity,
Functional magnetic resonance imaging, Brain modeling, ABIDE I
BibRef
Sharma, P.[Pratikshya],
Coleman, S.[Sonya],
Yogarajah, P.[Pratheepan],
Taggart, L.[Laurence],
Samarasinghe, P.[Pradeepa],
Magnifying Spontaneous Facial Micro Expressions for Improved
Recognition,
ICPR21(7930-7936)
IEEE DOI
2105
Support vector machines, Training, Autism, Quantization (signal),
Face recognition, Pipelines, Feature extraction, Micro expression,
LPQ-TOP
BibRef
Jannat, S.R.[SK Rahatul],
Canavan, S.[Shaun],
Classification of Autism Spectrum Disorder Across Age Using
Questionnaire and Demographic Information,
CAIHA20(52-61).
Springer DOI
2103
BibRef
Zhang, K.[Kaijie],
Wang, W.[Wei],
Guo, Y.J.[Yi-Jun],
Shan, C.F.[Cai-Feng],
Wang, L.[Liang],
A Comparative Study on Autism Spectrum Disorder Detection via 3d
Convolutional Neural Networks,
AIHA20(546-558).
Springer DOI
2103
BibRef
Esposito, A.,
Cirillo, I.,
Esposito, A.M.,
Fortunati, L.,
Foresti, G.L.,
Escalera, S.,
Bourbakis, N.,
Impairments in decoding facial and vocal emotional expressions in
high functioning autistic adults and adolescents,
FG20(667-674)
IEEE DOI
2102
Face recognition, Decoding, Task analysis, Emotion recognition,
Labeling, Databases, Faces, emotional facial expressions,
individual and sujective needs
BibRef
Madine, M.,
Rekik, I.,
Werghi, N.,
Diagnosing Autism Using T1-W MRI With Multi-Kernel Learning and
Hypergraph Neural Network,
ICIP20(438-442)
IEEE DOI
2011
Magnetic resonance imaging, Matrix converters, Autism,
Machine learning, Biological neural networks, Robustness,
multi-kernel learning
BibRef
Mónica, R.,
Ivana, H.,
Javier, D.,
Jorge, R.,
Augmented reality for children with Autism Spectrum Disorder.
A systematic review.,
ISCV20(1-7)
IEEE DOI
2011
augmented reality, computer aided instruction, handicapped aids,
medical disorders, paediatrics, patient treatment, children,
TORCH.
BibRef
Fang, Y.,
Duan, H.,
Shi, F.,
Min, X.,
Zhai, G.,
Identifying Children with Autism Spectrum Disorder Based on
Gaze-Following,
ICIP20(423-427)
IEEE DOI
2011
Autism Spectrum Disorder identifying, visual attention,
gaze-following, deep neural network
BibRef
Brahim, A.[Abdelbasset],
El Hassani, M.H.[Mehdi Hajjam],
Farrugia, N.[Nicolas],
Classification of Autism Spectrum Disorder Through the Graph Fourier
Transform of fMRI Temporal Signals Projected on Structural Connectome,
CAIPWS19(45-55).
Springer DOI
1909
BibRef
Li, B.,
Mehta, S.,
Aneja, D.,
Foster, C.,
Ventola, P.,
Shic, F.,
Shapiro, L.,
A Facial Affect Analysis System for Autism Spectrum Disorder,
ICIP19(4549-4553)
IEEE DOI
1910
Affective Computing, Convolutional Neural Networks, Healthcare,
Autism Spectral Disorder
BibRef
Huang, Y.C.[Yu-Chen],
Lee, I.J.[I-Jui],
A Study on the Development of a Mixed Reality System Applied to the
Practice of Socially Interactive Behaviors of Children with Autism
Spectrum Disorder,
VAMR19(II:283-296).
Springer DOI
1909
BibRef
Wang, T.,
Kamata, S.,
Classification of Structural MRI Images in ADHD Using 3D Fractal
Dimension Complexity Map,
ICIP19(215-219)
IEEE DOI
1910
Attention deficit hyperactive disorder,
3D fractal dimension based complexity map, Structural MRI, 3D convolutional neural network
BibRef
Wang, Y.H.[Yao-Hui],
Dantcheva, A.[Antitza],
Broutart, J.C.[Jean-Claude],
Robert, P.[Philippe],
Bremond, F.[Francois],
Bilinski, P.[Piotr],
Comparing Methods for Assessment of Facial Dynamics in Patients with
Major Neurocognitive Disorders,
ACVR18(VI:144-157).
Springer DOI
1905
BibRef
Chessa, M.[Manuela],
Bassano, C.[Chiara],
Gusai, E.[Elisa],
Martis, A.E.[Alice E.],
Solari, F.[Fabio],
Human-Computer Interaction Approaches for the Assessment and the
Practice of the Cognitive Capabilities of Elderly People,
ACVR18(VI:66-81).
Springer DOI
1905
BibRef
Marinoiu, E.,
Zanfir, M.,
Olaru, V.,
Sminchisescu, C.,
3D Human Sensing, Action and Emotion Recognition in Robot Assisted
Therapy of Children with Autism,
CVPR18(2158-2167)
IEEE DOI
1812
Medical treatment, Autism, Videos,
Cameras, Robot vision systems
BibRef
ElNakieb, Y.,
Nitzken, M.,
Shalaby, A.,
Dekhil, O.,
Mahmoud, A.,
Switala, A.,
Elmaghraby, A.,
Keynton, R.,
Ghazal, M.,
Khalil, A.,
Barnes, G.,
El-Baz, A.,
Towards Personalized Autism Diagnosis: Promising Results,
ICPR18(3862-3867)
IEEE DOI
1812
Feature extraction, Complexity theory, Measurement, Shape,
Harmonic analysis, Brain, Surface reconstruction
BibRef
Zunino, A.,
Morerio, P.,
Cavallo, A.,
Ansuini, C.,
Podda, J.,
Battaglia, F.,
Veneselli, E.,
Becchio, C.,
Murine, V.,
Video Gesture Analysis for Autism Spectrum Disorder Detection,
ICPR18(3421-3426)
IEEE DOI
1812
Variable speed drives, Feature extraction, Autism, Psychology,
Medical diagnostic imaging, Video sequences
BibRef
Li, J.,
Zhong, Y.,
Ouyang, G.,
Identification of ASD Children based on Video Data,
ICPR18(367-372)
IEEE DOI
1812
Histograms, Tracking, Pediatrics, Trajectory, Feature extraction,
Autism, Correlation, Autism spectrum disorder,
Classification
BibRef
Duan, H.,
Zhai, G.,
Min, X.,
Fang, Y.,
Che, Z.,
Yang, X.,
Zhi, C.,
Yang, H.,
Liu, N.,
Learning to Predict where the Children with ASD Look,
ICIP18(704-708)
IEEE DOI
1809
Visualization, Databases, Pediatrics, Autism, Face, Heating systems,
Data models, Children with ASD, visual attention, saliency model,
database
BibRef
Dapogny, A.,
Grossard, C.,
Hun, S.,
Serret, S.,
Bourgeois, J.,
Jean-Marie, H.,
Foulon, P.,
Ding, H.,
Chen, L.,
Dubuisson, S.,
Grynszpan, O.,
Cohen, D.,
Bailly, K.[Kevin],
JEMImE: A Serious Game to Teach Children with ASD How to Adequately
Produce Facial Expressions,
FG18(723-730)
IEEE DOI
1806
Avatars, Education, Feature extraction, Games, Iron, Task analysis,
Facial expression recognition, autism spectrum disorders,
serious game
BibRef
Rihawi, O.,
Merad, D.,
Damoiseaux, J.l.,
3D-AD: 3D-autism dataset for repetitive behaviours with kinect sensor,
AVSS17(1-6)
IEEE DOI
1806
behavioural sciences computing, medical disorders,
neurophysiology, stereo image processing, 3D recognitions, 3D-AD,
BibRef
Ismail, M.,
Barnes, G.,
Nitzken, M.,
Switala, A.,
Shalaby, A.,
Hosseini-Asl, E.,
Casanova, M.,
Keynton, R.,
Khalil, A.,
El-Baz, A.,
A new deep-learning approach for early detection of shape variations
in autism using structural mri,
ICIP17(1057-1061)
IEEE DOI
1803
biomedical MRI, brain, feature extraction, image classification,
image reconstruction, image segmentation,
deep fusion
BibRef
Shukla, P.,
Gupta, T.,
Saini, A.,
Singh, P.,
Balasubramanian, R.,
A Deep Learning Frame-Work for Recognizing Developmental Disorders,
WACV17(705-714)
IEEE DOI
1609
Atmospheric modeling, Autism, Face, Genetics,
Neural networks, Support, vector, machines
BibRef
Canavan, S.,
Chen, M.,
Chen, S.,
Valdez, R.,
Yaeger, M.,
Lin, H.,
Yin, L.,
Combining gaze and demographic feature descriptors for autism
classification,
ICIP17(3750-3754)
IEEE DOI
1803
Autism, Classification algorithms, Databases,
Regression tree analysis, Training data, Vegetation, Gaze, autism,
classification
BibRef
Coco, M.D.,
Leo, M.,
Carcagně, P.,
Spagnolo, P.,
Mazzeo, P.L.,
Bernava, M.,
Marino, F.,
Pioggia, G.,
Distante, C.,
A Computer Vision Based Approach for Understanding Emotional
Involvements in Children with Autism Spectrum Disorders,
ACVR17(1401-1407)
IEEE DOI
1802
Erbium, Face, Face detection, Feature extraction, Shape
BibRef
Chen, S.[Shi],
Zhao, Q.[Qi],
Attention-Based Autism Spectrum Disorder Screening With Privileged
Modality,
ICCV19(1181-1190)
IEEE DOI
2004
cognition, eye, feature extraction, handicapped aids,
human computer interaction, learning (artificial intelligence),
Biological system modeling
BibRef
Jiang, M.[Ming],
Zhao, Q.[Qi],
Learning Visual Attention to Identify People with Autism Spectrum
Disorder,
ICCV17(3287-3296)
IEEE DOI
1802
data visualisation, feature extraction, feature selection,
gaze tracking, learning (artificial intelligence),
Visualization
BibRef
Yaakob, A.D.A.[Ahmed Danial Arif],
Ruhaiyem, N.I.R.[Nur Intan Raihana],
Measuring the Variabilities in the Body Postures of the Children for
Early Detection of Autism Spectrum Disorder (ASD),
IVIC17(510-520).
Springer DOI
1711
BibRef
Zainal, A.F.[Ahmad Fazil],
Zaman, H.B.[Halimah Badioze],
Data-Driven Iterative-Evolution-Participatory Design Model on
Motion-Based Science Educational Application for ADHD Learners,
IVIC17(197-211).
Springer DOI
1711
BibRef
Jazouli, M.,
Majda, A.,
Zarghili, A.,
A P recognizer for automatic facial emotion recognition using Kinect
sensor,
ISCV17(1-5)
IEEE DOI
1710
Autism, Emotion recognition, Face,
Face recognition, Support vector machines,
BibRef
Jaiswal, S.[Shashank],
Valstar, M.F.[Michel F.],
Gillott, A.,
Daley, D.,
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD
Data,
FG17(762-769)
IEEE DOI
1707
Autism, Cameras, Databases, Face, Magnetic heads, Tracking
BibRef
Leo, M.[Marco],
del Coco, M.[Marco],
Carcagně, P.[Pierluigi],
Mazzeo, P.L.[Pier Luigi],
Spagnolo, P.[Paolo],
Distante, C.[Cosimo],
A Technological Framework to Support Standardized Protocols for the
Diagnosis and Assessment of ASD,
ACVR16(II: 269-284).
Springer DOI
1611
BibRef
Magrini, M.[Massimo],
Salvetti, O.[Ovidio],
Carboni, A.[Andrea],
Curzio, O.[Olivia],
An Interactive Multimedia System for Treating Autism Spectrum Disorder,
ACVR16(II: 331-342).
Springer DOI
1611
BibRef
Azahari, I.N.N.A.[Iman Nur Nabila Ahmad],
Ahmad, W.F.W.[Wan Fatimah Wan],
Hashim, A.S.[Ahmad Sobri],
Jamaludin, Z.[Zulikha],
User Experience of Autism Social-Aid Among Autistic Children: AUTISM
Social Aid Application,
IVIC17(391-397).
Springer DOI
1711
BibRef
Earlier: A1, A2, A3, Only:
Preliminary Study on Social Learning Using Mobile Technology Among
Children with Autism,
IVIC15(420-431).
Springer DOI
1511
BibRef
Wang, L.[Lei],
Li, D.P.[Dan-Ping],
He, T.C.[Tian-Cheng],
Wong, S.T.C.[Stephen T. C.],
Xue, Z.[Zhong],
Transductive Maximum Margin Classification of ADHD Using Resting State
fMRI,
MLMI16(221-228).
Springer DOI
1611
BibRef
Riaz, A.[Atif],
Alonso, E.[Eduardo],
Slabaugh, G.[Greg],
Phenotypic Integrated Framework for Classification of ADHD Using fMRI,
ICIAR16(217-225).
Springer DOI
1608
BibRef
Perhakaran, G.[Gamini],
Yusof, A.M.[Azmi Mohd],
Rusli, M.E.[Mohd Ezanee],
Yusoff, M.Z.M.[Mohd Zaliman Mohd],
Mahidin, E.M.M.[Eze Manzura Mohd],
Mahalil, I.[Imran],
Zainuddin, A.R.R.[Ahmad Redza Razieff],
SnoezelenCAVE: Virtual Reality CAVE Snoezelen Framework for Autism
Spectrum Disorders,
IVIC15(443-453).
Springer DOI
1511
BibRef
Jin, Y.[Yan],
Wee, C.Y.[Chong-Yaw],
Shi, F.[Feng],
Thung, K.H.[Kim-Han],
Yap, P.T.[Pew-Thian],
Shen, D.G.[Ding-Gang],
Identification of Infants at Risk for Autism Using Multi-parameter
Hierarchical White Matter Connectomes,
MLMI15(170-177).
Springer DOI
1511
BibRef
Vellanki, P.[Pratibha],
Duong, T.V.[Thi V.],
Venkatesh, S.[Svetha],
Phung, D.Q.[Dinh Q.],
Nonparametric Discovery of Learning Patterns and Autism Subgroups
from Therapeutic Data,
ICPR14(1828-1833)
IEEE DOI
1412
Autism
BibRef
Ahmed, W.,
Mitra, S.,
Chanda, K.,
Mazumdar, D.,
Assisting the autistic with improved facial expression recognition
from mixed expressions,
NCVPRIPG13(1-4)
IEEE DOI
1408
decision trees
BibRef
Cheplygina, V.[Veronika],
Tax, D.M.J.[David M. J.],
Loog, M.[Marco],
Feragen, A.[Aasa],
Network-Guided Group Feature Selection for Classification of Autism
Spectrum Disorder,
MLMI14(190-197).
Springer DOI
1410
BibRef
Quintana, E.[Eduardo],
Ibarra, C.[Catalina],
Escobedo, L.[Lizbeth],
Tentori, M.[Monica],
Favela, J.[Jesus],
Object and Gesture Recognition to Assist Children with Autism during
the Discrimination Training,
CIARP12(877-884).
Springer DOI
1209
BibRef
Abdelrahman, M.A.[Mostafa A.],
Ali, A.M.[Asem M.],
Farag, A.[Ahmed],
Casanova, M.F.[Manuel F.],
Farag, A.A.[Aly A.],
New Approach for Classification of Autistic vs. Typically Developing
Brain Using White Matter Volumes,
CRV12(284-289).
IEEE DOI
1207
BibRef
Rajagopalan, S.S.[Shyam Sundar],
Goecke, R.[Roland],
Detecting self-stimulatory behaviours for autism diagnosis,
ICIP14(1470-1474)
IEEE DOI
1502
Autism
BibRef
Rajagopalan, S.S.[Shyam Sundar],
Goecke, R.[Roland],
Detecting self-stimulatory behaviours for autism diagnosis,
ICIP14(1470-1474)
IEEE DOI
1502
Autism
BibRef
Rajagopalan, S.S.,
Dhall, A.,
Goecke, R.,
Self-Stimulatory Behaviours in the Wild for Autism Diagnosis,
SocialInter13(755-761)
IEEE DOI
1403
behavioural sciences computing
BibRef
Deriso, D.[David],
Susskind, J.[Joshua],
Krieger, L.[Lauren],
Bartlett, M.S.[Marian Stewart],
Emotion Mirror: A Novel Intervention for Autism Based on Real-Time
Expression Recognition,
ECCVDemos12(III: 671-674).
Springer DOI
1210
BibRef
Toe, T.T.[Teoh Teik],
Yen, N.Y.[Nguwi Yok],
Emotion indexing using hidden Markov expert rule model (HMER) for
autism children,
ICARCV10(668-672).
IEEE DOI
1109
BibRef
Alie, D.[David],
Mahoor, M.H.[Mohammad H.],
Mattson, W.I.[Whitney I.],
Anderson, D.R.[Daniel R.],
Messinger, D.S.[Daniel S.],
Analysis of eye gaze pattern of infants at risk of autism spectrum
disorder using Markov models,
WACV11(282-287).
IEEE DOI
1101
BibRef
Elnakib, A.[Ahmed],
El-Baz, A.[Ayman],
Casanova, M.F.[Manuel F.],
Gimel'farb, G.L.[Georgy L.],
Switala, A.E.[Andrew E.],
Image-based detection of Corpus Callosum variability for more accurate
discrimination between autistic and normal brains,
ICIP10(4337-4340).
IEEE DOI
1009
BibRef
He, Q.[Qing],
Duan, Y.[Ye],
Yin, X.T.[Xiao-Tian],
Gu, X.F.[Xian-Feng],
Karsch, K.[Kevin],
Miles, J.[Judith],
Detecting Thalamic Abnormalities in Autism Using Cylinder Conformal
Mapping,
ISVC08(II: 743-751).
Springer DOI
0812
BibRef
de Silva, P.R.S.[P. Ravindra S.],
Higashi, M.[Masatake],
Lambacher, S.G.[Stephen G.],
Osano, M.[Minetada],
Monitoring of Emotion to Create Adaptive Game for Children with Mild
Autistic,
CAIP07(326-333).
Springer DOI
0708
BibRef
Parés, N.[Narcís],
Carreras, A.[Anna],
Soler, M.[Miquel],
Non-invasive attitude detection for full-body interaction in MEDIATE, a
multisensory interactive environment for children with autism,
VMV04(37-45).
0411
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Music Related Gestures, Systems, Music Video Analysis .