Iman Beheshti

Orcid: 0000-0003-4750-3433

According to our database1, Iman Beheshti authored at least 19 papers between 2015 and 2024.

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Bibliography

2024
Improving brain age prediction with anatomical feature attention-enhanced 3D-CNN.
Comput. Biol. Medicine, February, 2024

Brain age prediction using improved twin SVR.
Neural Comput. Appl., January, 2024

2023
Deep learning for brain age estimation: A systematic review.
Inf. Fusion, August, 2023

Brain Age Prediction With Improved Least Squares Twin SVR.
IEEE J. Biomed. Health Informatics, April, 2023

Diagnosis of Schizophrenia: A Comprehensive Evaluation.
IEEE J. Biomed. Health Informatics, March, 2023

Sex-based Disparities in Brain Aging: A Focus on Parkinson's Disease.
CoRR, 2023

Heterogeneous Oblique Double Random Forest.
CoRR, 2023

2022
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation.
IEEE J. Biomed. Health Informatics, 2022

3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI.
Multim. Tools Appl., 2022

The accuracy of T1-weighted voxel-wise and region-wise metrics for brain age estimation.
Comput. Methods Programs Biomed., 2022

Brain age estimation using multi-feature-based networks.
Comput. Biol. Medicine, 2022

2021
Accurate lateralization and classification of MRI-negative 18F-FDG-PET-positive temporal lobe epilepsy using double inversion recovery and machine-learning.
Comput. Biol. Medicine, 2021

2019
A novel patch-based procedure for estimating brain age across adulthood.
NeuroImage, 2019

2018
A statistical region selection and randomized volumetric features selection framework for early detection of Alzheimer's disease.
Int. J. Imaging Syst. Technol., 2018

Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI.
Comput. Biol. Medicine, 2018

Comparing the performances of PDF and PCA on Parkinson's disease classification using structural MRI images.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.
Comput. Biol. Medicine, 2017

2016
Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error.
Comput. Methods Programs Biomed., 2016

2015
Probability distribution function-based classification of structural MRI for the detection of Alzheimer's disease.
Comput. Biol. Medicine, 2015


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