Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

A Shoeibi, M Khodatars, M Jafari, P Moridian… - Computers in Biology …, 2021 - Elsevier
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor
problems for people with a detrimental effect on the functioning of the nervous system. In …

Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review

M Khodatars, A Shoeibi, D Sadeghi… - Computers in biology …, 2021 - Elsevier
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

Removing independent noise in systems neuroscience data using DeepInterpolation

J Lecoq, M Oliver, JH Siegle, N Orlova… - Nature …, 2021 - nature.com
Progress in many scientific disciplines is hindered by the presence of independent noise.
Technologies for measuring neural activity (calcium imaging, extracellular electrophysiology …

The evolution of Big Data in neuroscience and neurology

L Dipietro, P Gonzalez-Mego, C Ramos-Estebanez… - Journal of Big Data, 2023 - Springer
Neurological diseases are on the rise worldwide, leading to increased healthcare costs and
diminished quality of life in patients. In recent years, Big Data has started to transform the …

ADD-Net: an effective deep learning model for early detection of Alzheimer disease in MRI scans

MMS Fareed, S Zikria, G Ahmed, S Mahmood… - IEEE …, 2022 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is a neurological brain disorder marked by dementia and
neurological dysfunction that affects memory, behavioral patterns, and reasoning …

[HTML][HTML] Dad-net: Classification of alzheimer's disease using adasyn oversampling technique and optimized neural network

G Ahmed, MJ Er, MMS Fareed, S Zikria, S Mahmood… - Molecules, 2022 - mdpi.com
Alzheimer's Disease (AD) is a neurological brain disorder that causes dementia and
neurological dysfunction, affecting memory, behavior, and cognition. Deep Learning (DL), a …

Increased connectivity of pain matrix in chronic migraine: a resting-state functional MRI study

MJ Lee, B Park, S Cho, ST Kim, H Park… - The journal of headache …, 2019 - Springer
Objective To investigate the whole-brain resting-state functional connectivity in patients with
chronic migraine (CM) using a data-driven method. Methods We prospectively recruited …

Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia

A Tyagi, VP Singh, MM Gore - Multimedia Tools and Applications, 2023 - Springer
Abstract Computer Aided Diagnosis systems assist radiologists and doctors in the early
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …