| NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ... NeuroImage: Clinical 28, 102375, 2020 | 272* | 2020 |
| Replicability of time-varying connectivity patterns in large resting state fMRI samples A Abrol, E Damaraju, RL Miller, JM Stephen, ED Claus, AR Mayer, ... Neuroimage 163, 160-176, 2017 | 190 | 2017 |
| Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning A Abrol, Z Fu, M Salman, R Silva, Y Du, S Plis, V Calhoun Nature communications 12 (1), 353, 2021 | 161 | 2021 |
| Deep residual learning for neuroimaging: an application to predict progression to Alzheimer’s disease A Abrol, M Bhattarai, A Fedorov, Y Du, S Plis, V Calhoun, ... Journal of neuroscience methods 339, 108701, 2020 | 144 | 2020 |
| A phase II study repurposing atomoxetine for neuroprotection in mild cognitive impairment AI Levey, D Qiu, L Zhao, WT Hu, DM Duong, L Higginbotham, ... Brain, doi.org/10.1093/brain/awab452, 2021 | 58 | 2021 |
| Multimodal data fusion of deep learning and dynamic functional connectivity features to predict Alzheimer’s disease progression A Abrol, Z Fu, Y Du, VD Calhoun 2019 41st annual international conference of the IEEE engineering in …, 2019 | 52 | 2019 |
| Determining the number of states in dynamic functional connectivity using cluster validity indexes VM Vergara, M Salman, A Abrol, FA Espinoza, VD Calhoun Journal of neuroscience methods 337, 108651, 2020 | 50 | 2020 |
| Age‐related structural and functional variations in 5,967 individuals across the adult lifespan N Luo, J Sui, A Abrol, D Lin, J Chen, VM Vergara, Z Fu, Y Du, E Damaraju, ... Human brain mapping 41 (7), 1725-1737, 2020 | 47 | 2020 |
| The chronnectome: evaluating replicability of dynamic connectivity patterns in 7500 resting fMRI datasets A Abrol, C Chaze, E Damaraju, VD Calhoun 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 43 | 2016 |
| Deep learning in neuroimaging: Promises and challenges W Yan, G Qu, W Hu, A Abrol, B Cai, C Qiao, SM Plis, YP Wang, J Sui, ... IEEE Signal Processing Magazine 39 (2), 87-98, 2022 | 40 | 2022 |
| Structural brain architectures match intrinsic functional networks and vary across domains: a study from 15 000+ individuals N Luo, J Sui, A Abrol, J Chen, JA Turner, E Damaraju, Z Fu, L Fan, D Lin, ... Cerebral Cortex 30 (10), 5460-5470, 2020 | 38 | 2020 |
| An average sliding window correlation method for dynamic functional connectivity VM Vergara, A Abrol, VD Calhoun Human Brain Mapping 40 (7), 2089-2103, 2019 | 38 | 2019 |
| Resting-state fMRI dynamics and null models: perspectives, sampling variability, and simulations RL Miller, A Abrol, T Adali, Y Levin-Schwarz, VD Calhoun Frontiers in neuroscience 12, 551, 2018 | 37 | 2018 |
| Schizophrenia shows disrupted links between brain volume and dynamic functional connectivity A Abrol, B Rashid, S Rachakonda, E Damaraju, VD Calhoun Frontiers in neuroscience 11, 624, 2017 | 37 | 2017 |
| Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder Y Du, Z Fu, Y Xing, D Lin, G Pearlson, P Kochunov, LE Hong, S Qi, ... Communications biology 4 (1), 1073, 2021 | 30 | 2021 |
| Prediction of Progression to Alzheimer's disease with Deep InfoMax A Fedorov, RD Hjelm, A Abrol, Z Fu, Y Du, S Plis, VD Calhoun 2019 IEEE EMBS International conference on biomedical & health informatics …, 2019 | 30 | 2019 |
| Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease I Hajjar, M Okafor, JD Choi, E Moore, A Abrol, VD Calhoun, FC Goldstein Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 15 (1 …, 2023 | 24 | 2023 |
| A classification-based approach to estimate the number of resting functional magnetic resonance imaging dynamic functional connectivity states DK Saha, E Damaraju, B Rashid, A Abrol, SM Plis, VD Calhoun Brain connectivity 11 (2), 132-145, 2021 | 23* | 2021 |
| Addressing inaccurate nosology in mental health: A multilabel data cleansing approach for detecting label noise from structural magnetic resonance imaging data in mood and … H Rokham, G Pearlson, A Abrol, H Falakshahi, S Plis, VD Calhoun Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 5 (8), 819-832, 2020 | 22 | 2020 |
| MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer’s disease, and healthy controls AJ Chang, R Roth, E Bougioukli, T Ruber, SS Keller, DL Drane, RE Gross, ... Communications Medicine 3 (1), 33, 2023 | 17 | 2023 |
