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 | 107 | 2019 |
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 | 71 | 2021 |
A statistical region selection and randomized volumetric features selection framework for early detection of Alzheimer's disease S Mishra, I Beheshti, P Khanna, ... International Journal of Imaging Systems and Technology 28 (4), 302-314, 2018 | 16 | 2018 |
Glioma identification from brain MRI using superpixels and FCM clustering N Gupta, S Mishra, P Khanna 2018 Conference on Information and Communication Technology (CICT), 1-6, 2018 | 7 | 2018 |
A review of neuroimaging‑driven brain age estimation for identification of brain disorders and health con‑ditions. IEEE Rev Biomed Eng 16: 371–385 S Mishra, I Beheshti, P Khanna | 3 | 2023 |
Classification of brain MRIs forming superpixels N Gupta, S Mishra, P Khanna Advanced Computational and Communication Paradigms: Proceedings of …, 2018 | 2 | 2018 |
Early detection of Alzheimer's disease using fusion techniques on 3D brain views S Mishra, P Khanna 2017 Conference on Information and Communication Technology (CICT), 1-5, 2017 | 2 | 2017 |
Brain Age Estimation using PCA and PLS components for Healthy controls S Mishra, P Khanna 2020 IEEE 4th Conference on Information & Communication Technology (CICT), 1-6, 2020 | 1 | 2020 |
The impact of regional atrophy on alzheimer’s disease and its identification using 3d texture analysis S Mishra, P Khanna Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume …, 2020 | 1 | 2020 |
3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI S Mishra, I Beheshti, M Tanveer, P Khanna Multimedia Tools and Applications 81 (16), 22481-22496, 2022 | | 2022 |