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Fahad Almuqhim

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Frontiers in Computational Neuroscience|April 26, 2021
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI DataFahad Almuqhim, Fahad Saeed
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|July 18, 2024
ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular FieldFahad Almuqhim, Fahad Saeed
Neuroinformatics|September 2, 2025
Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning ModelsFahad Almuqhim, Fahad Saeed
Frontiers in Neuroinformatics|February 8, 2021
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A SurveyTaban Eslami, Fahad Almuqhim, Joseph S Raiker, et al.
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Showing results (1-10 of 4) with videos related to

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Pageof 1
Frontiers in Computational Neuroscience|April 26, 2021
ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI DataFahad Almuqhim, Fahad Saeed
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|July 18, 2024
ASD-GResTM: Deep Learning Framework for ASD classification using Gramian Angular FieldFahad Almuqhim, Fahad Saeed
Neuroinformatics|September 2, 2025
Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning ModelsFahad Almuqhim, Fahad Saeed
Frontiers in Neuroinformatics|February 8, 2021
Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A SurveyTaban Eslami, Fahad Almuqhim, Joseph S Raiker, et al.
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