Iman Beheshti
Iman Beheshti
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Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and …
I Beheshti, H Demirel, H Matsuda, ...
Computers in biology and medicine 83, 109-119, 2017
Feature-ranking-based Alzheimer’s disease classification from structural MRI
I Beheshti, H Demirel, Alzheimer’s Disease Neuroimaging Initiative
Magnetic resonance imaging 34 (3), 252-263, 2016
Age-related gray and white matter changes in normal adult brains
F Farokhian, C Yang, I Beheshti, H Matsuda, S Wu
Aging and disease 8 (6), 899, 2017
Comparing CAT12 and VBM8 for detecting brain morphological abnormalities in temporal lobe epilepsy
F Farokhian, I Beheshti, D Sone, H Matsuda
Frontiers in neurology 8, 276272, 2017
Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme
I Beheshti, S Nugent, O Potvin, S Duchesne
NeuroImage: Clinical 24, 102063, 2019
Probability distribution function-based classification of structural MRI for the detection of Alzheimer’s disease
I Beheshti, H Demirel, Alzheimer’s Disease Neuroimaging Initiative
Computers in biology and medicine 64, 208-216, 2015
Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
I Beheshti, H Demirel, F Farokhian, C Yang, H Matsuda, ADN Initiative
Computer Methods and Programs in Biomedicine 137, 177–193, 2016
T1-weighted MRI-driven brain age estimation in Alzheimer’s disease and Parkinson’s disease
I Beheshti, S Mishra, D Sone, P Khanna, H Matsuda
Aging and disease 11 (3), 618, 2020
Neuroimaging-based brain-age prediction in diverse forms of epilepsy: a signature of psychosis and beyond
D Sone, I Beheshti, N Maikusa, M Ota, Y Kimura, N Sato, M Koepp, ...
Molecular psychiatry 26 (3), 825-834, 2021
The association between “Brain‐Age Score”(BAS) and traditional neuropsychological screening tools in Alzheimer's disease
I Beheshti, N Maikusa, H Matsuda
Brain and Behavior 8 (8), e01020, 2018
Predicting brain age using machine learning algorithms: A comprehensive evaluation
I Beheshti, MA Ganaie, V Paliwal, A Rastogi, I Razzak, M Tanveer
IEEE Journal of Biomedical and Health Informatics 26 (4), 1432-1440, 2021
Deep learning for brain age estimation: A systematic review
M Tanveer, MA Ganaie, I Beheshti, T Goel, N Ahmad, KT Lai, K Huang, ...
Information Fusion, 2023
Automatic parameters selection of Gabor filters with the imperialism competitive algorithm with application to retinal vessel segmentation
F Farokhian, C Yang, H Demirel, S Wu, I Beheshti
Biocybernetics and Biomedical Engineering 37 (1), 246-254, 2017
Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI
O Cigdem, I Beheshti, H Demirel
Computers in biology and medicine 99, 173-181, 2018
Classification of Alzheimer’s Disease and Prediction of Mild Cognitive Impairment Conversion Using Histogram-Based Analysis of Patient-Specific Anatomical Brain Connectivity …
I Beheshti, N Maikusa, M Daneshmand, H Matsuda, H Demirel, ...
Journal of Alzheimer's Disease, 1-10, 2017
A review of neuroimaging-driven brain age estimation for identification of brain disorders and health conditions
S Mishra, I Beheshti, P Khanna
IEEE Reviews in Biomedical Engineering 16, 371-385, 2021
Histogram-Based Feature Extraction from Individual Gray Matter Similarity-Matrix for Alzheimer’s Disease Classification
I Beheshti, N Maikusa, H Matsuda, H Demirel, G Anbarjafari
Journal of Alzheimer's Disease 55 (4), 1571-1582, 2017
Clinical application of machine learning models for brain imaging in epilepsy: a review
D Sone, I Beheshti
Frontiers in Neuroscience 15, 684825, 2021
Disappearing metabolic youthfulness in the cognitively impaired female brain
I Beheshti, S Nugent, O Potvin, S Duchesne
Neurobiology of aging 101, 224-229, 2021
A novel patch-based procedure for estimating brain age across adulthood
I Beheshti, P Gravel, O Potvin, L Dieumegarde, S Duchesne
Neuroimage 197, 618-624, 2019
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