| White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study SN Hatton, KH Huynh, L Bonilha, E Abela, S Alhusaini, A Altmann, ... Brain 143 (8), 2454-2473, 2020 | 146 | 2020 |
| Cognitive phenotypes in temporal lobe epilepsy are associated with distinct patterns of white matter network abnormalities A Reyes, E Kaestner, N Bahrami, A Balachandra, M Hegde, BM Paul, ... Neurology 92 (17), e1957-e1968, 2019 | 100 | 2019 |
| The ENIGMA‐Epilepsy working group: Mapping disease from large data sets SM Sisodiya, CD Whelan, SN Hatton, K Huynh, A Altmann, M Ryten, ... Human brain mapping 43 (1), 113-128, 2022 | 61 | 2022 |
| The white matter connectome as an individualized biomarker of language impairment in temporal lobe epilepsy E Kaestner, AR Balachandra, N Bahrami, A Reyes, SJ Lalani, AC Macari, ... NeuroImage: Clinical 25, 102125, 2020 | 37 | 2020 |
| Sensitivity of restriction spectrum imaging to memory and neuropathology in Alzheimer’s disease ET Reas, DJ Hagler, NS White, JM Kuperman, H Bartsch, K Cross, RQ Loi, ... Alzheimer's research & therapy 9, 1-12, 2017 | 31 | 2017 |
| Restriction spectrum imaging reveals decreased neurite density in patients with temporal lobe epilepsy RQ Loi, KM Leyden, A Balachandra, V Uttarwar, DJ Hagler Jr, BM Paul, ... Epilepsia 57 (11), 1897-1906, 2016 | 24 | 2016 |
| Decreased neurite density within frontostriatal networks is associated with executive dysfunction in temporal lobe epilepsy A Reyes, VS Uttarwar, YHA Chang, AR Balachandra, CJ Pung, ... Epilepsy & Behavior 78, 187-193, 2018 | 23 | 2018 |
| Clinical utility of structural connectomics in predicting memory in temporal lobe epilepsy AR Balachandra, E Kaestner, N Bahrami, A Reyes, S Lalani, AC Macari, ... Neurology 94 (23), e2424-e2435, 2020 | 19 | 2020 |
| Deep learning-driven risk-based subtyping of cognitively impaired individuals MF Romano, X Zhou, AR Balachandra, MF Jadick, S Qiu, DA Nijhawan, ... medRxiv, 2021.12. 08.21267495, 2021 | 2 | 2021 |
| Deep learning for risk-based stratification of cognitively impaired individuals MF Romano, X Zhou, AR Balachandra, MF Jadick, S Qiu, DA Nijhawan, ... iScience 26 (9), 2023 | 1 | 2023 |
| Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals (P1-9.008) A Balachandra, X Zhou, M Romano, V Kolachalama Neurology 102 (17_supplement_1), 2895, 2024 | | 2024 |
| Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals X Zhou, AR Balachandra, MF Romano, SP Chin, R Au, VB Kolachalama medRxiv, 2023.11. 13.23298477, 2023 | | 2023 |
| Clinical Utility of Structural Connectomics in Predicting Memory in Temporal Lobe Epilepsy (vol 94, pg e2424, 2020) A Balachandra NEUROLOGY 98 (4), 171-171, 2022 | | 2022 |
| Comparative analysis of cerebrospinal fluid markers and multimodal imaging in predicting Alzheimer’s disease progression MF Romano, A Balachandra, X Zhou, M Jadick, S Qiu, D Nijhawan, ... Alzheimer's & Dementia 17, e054457, 2021 | | 2021 |
| The white matter connectome as an individualized biomarker of language impairment in E Kaestner, AR Balachandra, N Bahrami | | 2020 |
| Predicting Verbal Memory Impairment using Structural Connectomics in Drug-resistant Temporal Lobe Epilepsy AR Balachandra UC San Diego, 2019 | | 2019 |
| A Deep Learning Framework for Risk-Based Stratification of Cognitively Impaired Individuals MF Romano, X Zhou, AR Balachandra, M Jadick, S Qiu, D Nijhawan, ... | | |
Donald J. Hagler, Jr.Assistant Professor of Radiology, UCSDVerified email at ucsd.edu
