Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

“…Early detection of attention-deficit/hyperactivity disorder (ADHD) in children is vital for timely intervention and improved outcomes. Functional magnetic resonance imaging (fMRI) has emerged as a valuable tool for understanding the neural basis of ADHD. …”
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Brain capillary geometry development for multiscale modelling study by Shabudin, Abbas, Maryah Harzarina, Jasni, Mohd Jamil, Mohamed Mokhtarudin

“…Due to low spatial resolution of functional magnetic resonance imaging (fMRI), mathematical modelling of human brain is usually developed in ischaemic stroke study in order to enhance the understanding of ischaemic stroke mechanism so that proper treatment plan can be decided to a particular stroke patient. …”
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Evaluation of Transfer Learning Pipeline for ADHD Classification via fMRI Images by Nur Atiqah, Kamal, Ahmad Fakhri, Ab Nasir, Abdul Majeed, Anwar P. P., Muhammad Zulfahmi, Toh Abdullah@ Toh Chin Lai, Ismail, Mohd Khairuddin

“…As of now, there has been no evaluation of using these methods for ADHD classification through functional magnetic resonance imaging (fMRI) applications. The objective of this study is to identify an appropriate pipeline consisting of transfer learning and conventional classifiers for effectively discriminating between individuals with ADHD and those without. …”
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