22.4.2.6.8 Autism Analysis, Behavior, Cognitive, Other Analysis

Chapter Contents (Back)
Autism. ADHD.

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.[Daoqiang],
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


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.[Caifeng], 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 .


Last update:Mar 16, 2024 at 20:36:19