| Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group S Kelly, N Jahanshad, A Zalesky, P Kochunov, I Agartz, C Alloza, ... Molecular psychiatry 23 (5), 1261-1269, 2018 | 620 | 2018 |
| Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study CD Whelan, A Altmann, JA Botía, N Jahanshad, DP Hibar, J Absil, ... Brain 141 (2), 391-408, 2018 | 433 | 2018 |
| White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group LS Van Velzen, S Kelly, D Isaev, A Aleman, LI Aftanas, J Bauer, BT Baune, ... Molecular psychiatry 25 (7), 1511-1525, 2020 | 273 | 2020 |
| Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia MV Ivanova, DY Isaev, OV Dragoy, YS Akinina, AG Petrushevskiy, ... Cortex 85, 165-181, 2016 | 209 | 2016 |
| Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group TC Ho, B Gutman, E Pozzi, HJ Grabe, N Hosten, K Wittfeld, H Völzke, ... Human brain mapping 43 (1), 341-351, 2022 | 78 | 2022 |
| Mapping subcortical brain alterations in 22q11. 2 deletion syndrome: Effects of deletion size and convergence with idiopathic neuropsychiatric illness CRK Ching, BA Gutman, D Sun, J Villalon Reina, A Ragothaman, D Isaev, ... American Journal of Psychiatry 177 (7), 589-600, 2020 | 68 | 2020 |
| A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium BA Gutman, TGM Van Erp, K Alpert, CRK Ching, D Isaev, A Ragothaman, ... Human brain mapping 43 (1), 352-372, 2022 | 49 | 2022 |
| Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits TM Nir, N Jahanshad, JE Villalon‐Reina, D Isaev, ... Magnetic Resonance in Medicine 78 (6), 2322-2333, 2017 | 35 | 2017 |
| Attention-based network for weak labels in neonatal seizure detection DY Isaev, D Tchapyjnikov, CM Cotten, D Tanaka, N Martinez, M Bertran, ... Proceedings of machine learning research 126, 479, 2020 | 29 | 2020 |
| A systems‐level analysis highlights microglial activation as a modifying factor in common epilepsies A Altmann, M Ryten, M Di Nunzio, T Ravizza, D Tolomeo, RH Reynolds, ... Neuropathology and applied neurobiology 48 (1), e12758, 2022 | 27 | 2022 |
| Relative average look duration and its association with neurophysiological activity in young children with autism spectrum disorder DY Isaev, S Major, M Murias, KLH Carpenter, D Carlson, G Sapiro, ... Scientific reports 10 (1), 1912, 2020 | 19 | 2020 |
| Biblioteka stimulov “Suschestvitel’noe I object”: normirovanie psikholingvisticheskikh parametrov [Stimuli database “Noun and object”: norming of psycholinguistic variables] YS Akinina, EV Iskra, MV Ivanova, MA Grabovskaya, DY Isaev, I Korkina, ... Shestaya mezhdunarodnaya konferentsiya po kognitivnoy nauke: Tezisy dokladov …, 2014 | 19 | 2014 |
| Biblioteka psiholingvisticheskih stimulov: novye dannye dlja russkogo i tatarskogo jazyka Y Akinina, M Grabovskaya, A Vechkaeva, G Ignatyev, D Isaev, A Khanova, ... The Seventh International Conference on Cognitive Science, 93-95, 2016 | 15 | 2016 |
| A systems-level analysis highlights microglial activation as a modifying factor in common forms of human epilepsy A Altmann, M Ryten, M Di Nunzio, T Ravizza, D Tolomeo, RH Reynolds, ... bioRxiv, 470518, 2018 | 9 | 2018 |
| Deep learning for quality control of subcortical brain 3d shape models D Petrov, BA Gutman, E Kuznetsov, CRK Ching, K Alpert, ... Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018 | 8 | 2018 |
| Subcortical brain alterations in carriers of genomic copy number variants K Kumar, C Modenato, C Moreau, CRK Ching, A Harvey, S Martin-Brevet, ... American Journal of Psychiatry 180 (9), 685-698, 2023 | 6 | 2023 |
| Machine learning for large-scale quality control of 3D shape models in neuroimaging D Petrov, BA Gutman, SH Yu, K Alpert, A Zavaliangos-Petropulu, D Isaev, ... Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 6 | 2017 |
| Shorter average look durations to dynamic social stimuli are associated with higher levels of autism symptoms in young autistic children S Major, D Isaev, J Grapel, T Calnan, E Tenenbaum, K Carpenter, L Franz, ... Autism 26 (6), 1451-1459, 2022 | 5 | 2022 |
| Improved clinical diffusion MRI reliability using a tensor distribution function compared to a single tensor DY Isaev, TM Nir, N Jahanshad, JE Villalon-Reina, L Zhan, AD Leow, ... 12th International Symposium on Medical Information Processing and Analysis …, 2017 | 4 | 2017 |
| Computer vision analysis of caregiver–child interactions in children with neurodevelopmental disorders: A preliminary report DY Isaev, M Sabatos-DeVito, JM Di Martino, K Carpenter, R Aiello, ... Journal of Autism and Developmental Disorders 54 (6), 2286-2297, 2024 | 2 | 2024 |
Guillermo SapiroJames B. Duke Professor, Duke University; Distinguished Engineer, Health AI Lead, Apple, Inc.在 duke.edu 的电子邮件经过验证
