| 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 | 227 | 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 | 143 | 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 | 140 | 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 | 130 | 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 | 117 | 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 | 107 | 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 | 93 | 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 | 78 | 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 | 69 | 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 | 63 | 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 | 55 | 2021 |
| 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 | 48 | 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 | 46 | 2018 |
| 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 | 45 | 2023 |
| 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 | 40 | 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 | 36 | 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 | 34 | 2017 |
| Clinical application of machine learning models for brain imaging in epilepsy: a review D Sone, I Beheshti Frontiers in Neuroscience 15, 684825, 2021 | 29 | 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 | 28 | 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 | 25 | 2019 |
Hiroshi MatsudaNational Center of Neurology and PsychiatryVerified email at ncnp.go.jp
