Iman Beheshti

Процитировано

	Все	Начиная с 2020 г.
Статистика цитирования	2410	2061
h-индекс	24	23
i10-индекс	45	45

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24 статьи

7 статей

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Hiroshi MatsudaNational Center of Neurology and PsychiatryПодтвержден адрес электронной почты в домене ncnp.go.jp
Hasan DemirelProfessor of Electrical and Electronic Engineering, Eastern Mediterranean UniversityПодтвержден адрес электронной почты в домене emu.edu.tr
Daichi SONEUCL Institute of NeurologyПодтвержден адрес электронной почты в домене ucl.ac.uk
Simon DuchesneFull Professor, Radiology and Nuclear Medicine Department, Laval University, Quebec City, CanadaПодтвержден адрес электронной почты в домене fmed.ulaval.ca
Olivier PotvinCentre de recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de QuébecПодтвержден адрес электронной почты в домене criucpq.ulaval.ca
M. Tanveer, IEEE CIS Distinguished L...Professor and Ramanujan Fellow, IIT Indore (Some codes are available at GitHub.)Подтвержден адрес электронной почты в домене iiti.ac.in
Ji Hyun KoUniversity of ManitobaПодтвержден адрес электронной почты в домене umanitoba.ca
Javier (Javi) Del SerResearch Professor, TECNALIA, Distinguished Professor, Universidad del País Vasco (UPV/EHU)Подтвержден адрес электронной почты в домене tecnalia.com
Yudong ZhangUniversity of Leicester, HFWLA/FIET/FEAI/FBCS/SMIEEE/SMACM/DSACM, Clarivate Highly Cited ResearcherПодтвержден адрес электронной почты в домене le.ac.uk
KoeppUCLПодтвержден адрес электронной почты в домене ucl.ac.uk
Caroline Dallaire-ThérouxNeurology Resident, Ph.D. Candidate, Université LavalПодтвержден адрес электронной почты в домене ulaval.ca
Andrew L. GoertzenProfessor, Department of Radiology, University of ManitobaПодтвержден адрес электронной почты в домене umanitoba.ca
Benedict C. AlbensiChair & Professor, Co-director BRAIN Ctr., Nova Southeastern UniversityПодтвержден адрес электронной почты в домене nova.edu
Yoshihiro Noda, MD, PhD, MBAKeio University School of Medicine, Department of NeuropsychiatryПодтвержден адрес электронной почты в домене keio.jp
Mahsa DadarAssistant Professor, The Douglas Cerebral Imaging Centre, McGill UniversityПодтвержден адрес электронной почты в домене mail.mcgill.ca
odelia elkanaSenior Lecture. Head of M.A program in neuropsychology and rehabilitation The Academic College ofПодтвержден адрес электронной почты в домене mta.ac.il
Mahboubeh MotaghiPhD Candidate in Clinical & Biomedical Science, Medicine Department, Laval University, Quebec,CanadaПодтвержден адрес электронной почты в домене ulaval.ca
Lisa LixUniversity of ManitobaПодтвержден адрес электронной почты в домене umanitoba.ca

Iman Beheshti

University of Manitoba (Certain codes can be accessed on GitHub)

Подтвержден адрес электронной почты в домене umanitoba.ca - Главная страница

Computational_neuroimaging Computational_neuroscience


Название По числу цитат По году По названию	Процитировано Процитировано	Год
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	258	2017
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	162	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	161	2019
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	154	2016
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, 428, 2017	149	2017
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	115	2015
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, 2019	104	2019
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	100	2016
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 96, 130-143, 2023	90	2023
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	88	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	83	2018
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	81	2021
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	69	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	54	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	51	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	44	2017
Clinical application of machine learning models for brain imaging in epilepsy: a review D Sone, I Beheshti Frontiers in neuroscience 15, 684825, 2021	42	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	39	2017
Disappearing metabolic youthfulness in the cognitively impaired female brain I Beheshti, S Nugent, O Potvin, S Duchesne Neurobiology of aging 101, 224-229, 2021	34	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	30	2019

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