Probability distribution function-based classification of structural MRI for the detection of Alzheimer's disease. - Iman Beheshti; Hasan Demirel (Comput. Biol. Medicine, 2015)

Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error. - Iman Beheshti; Hasan Demirel; Farnaz Farokhian; Chunlan Yang; Hiroshi Matsuda (Comput. Methods Programs Biomed., 2016)

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. - Iman Beheshti; Hasan Demirel; Hiroshi Matsuda (Comput. Biol. Medicine, 2017)

Comparing the performances of PDF and PCA on Parkinson's disease classification using structural MRI images. - Ozkan Cigdem; Arif Yilmaz; Iman Beheshti; Hasan Demirel (SIU, 2018)

Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI. - Ozkan Cigdem; Iman Beheshti; Hasan Demirel (Comput. Biol. Medicine, 2018)

A statistical region selection and randomized volumetric features selection framework for early detection of Alzheimer's disease. - Shiwangi Mishra; Iman Beheshti; Pritee Khanna (Int. J. Imaging Syst. Technol., 2018)

A novel patch-based procedure for estimating brain age across adulthood. - Iman Beheshti; Pierre Gravel; Olivier Potvin; Louis Dieumegarde; Simon Duchesne (NeuroImage, 2019)

Accurate lateralization and classification of MRI-negative 18F-FDG-PET-positive temporal lobe epilepsy using double inversion recovery and machine-learning. - Iman Beheshti; Daichi Sone; Norihide Maikusa; Yukio Kimura; Yoko Shigemoto; Noriko Sato; Hiroshi Matsuda (Comput. Biol. Medicine, 2021)

Brain age estimation using multi-feature-based networks. - Xia Liu; Iman Beheshti; Weihao Zheng; Yongchao Li; Shan Li; Ziyang Zhao; Zhijun Yao; Bin Hu 001 (Comput. Biol. Medicine, 2022)

The accuracy of T1-weighted voxel-wise and region-wise metrics for brain age estimation. - Iman Beheshti; Norihide Maikusa; Hiroshi Matsuda (Comput. Methods Programs Biomed., 2022)

3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI. - Shiwangi Mishra; Iman Beheshti; Muhammad Tanveer 001; Pritee Khanna (Multim. Tools Appl., 2022)

Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. - Iman Beheshti; M. A. Ganaie 001; Vardhan Paliwal; Aryan Rastogi; Imran Razzak; Muhammad Tanveer 001 (IEEE J. Biomed. Health Informatics, 2022)

Heterogeneous Oblique Double Random Forest. - M. A. Ganaie 001; Muhammad Tanveer 001; Iman Beheshti; Nehal Ahmad; Ponnuthurai N. Suganthan (CoRR, 2023)

Sex-based Disparities in Brain Aging: A Focus on Parkinson's Disease. - Iman Beheshti; Samuel Booth; Ji Hyun Ko (CoRR, 2023)

Diagnosis of Schizophrenia: A Comprehensive Evaluation. - Muhammad Tanveer 001; Jatin Jangir; M. A. Ganaie 001; Iman Beheshti; M. Tabish; Nikunj Chhabra (IEEE J. Biomed. Health Informatics, 2023)

Brain Age Prediction With Improved Least Squares Twin SVR. - M. A. Ganaie 001; Muhammad Tanveer 001; Iman Beheshti (IEEE J. Biomed. Health Informatics, 2023)

Deep learning for brain age estimation: A systematic review. - Muhammad Tanveer 001; M. A. Ganaie 001; Iman Beheshti; Tripti Goel; Nehal Ahmad; Kuan-Ting Lai; Kaizhu Huang; Yu-Dong Zhang 001; Javier Del Ser; Chin-Teng Lin (Inf. Fusion, 2023)

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern. - M. Sajid; Rahul Sharma; Iman Beheshti; Muhammad Tanveer 001 (CoRR, 2024)

Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern. - M. Sajid; R. Sharma; Iman Beheshti; Muhammad Tanveer 001 (WIREs Data. Mining. Knowl. Discov., 2024)

Brain age prediction using improved twin SVR. - M. A. Ganaie 001; M. Tanveer 001; Iman Beheshti (Neural Comput. Appl., 2024)

Improving brain age prediction with anatomical feature attention-enhanced 3D-CNN. - Yu Zhang; Rui Xie; Iman Beheshti; Xia Liu; Guowei Zheng; Yin Wang; Zhenwen Zhang; Weihao Zheng; Zhijun Yao; Bin Hu 001 (Comput. Biol. Medicine, 2024)