| Braingnn: Interpretable brain graph neural network for fmri analysis X Li, Y Zhou, N Dvornek, M Zhang, S Gao, J Zhuang, D Scheinost, ... Medical Image Analysis 74, 102233, 2021 | 572 | 2021 |
| Task-induced brain state manipulation improves prediction of individual traits AS Greene, S Gao, D Scheinost, RT Constable Nature communications 9 (1), 2807, 2018 | 488 | 2018 |
| Ten simple rules for predictive modeling of individual differences in neuroimaging D Scheinost, S Noble, C Horien, AS Greene, EMR Lake, M Salehi, S Gao, ... NeuroImage 193, 35-45, 2019 | 360 | 2019 |
| Combining multiple connectomes improves predictive modeling of phenotypic measures S Gao, AS Greene, RT Constable, D Scheinost NeuroImage 201, 116038, 2019 | 143 | 2019 |
| Distributed patterns of functional connectivity predict working memory performance in novel healthy and memory-impaired individuals EW Avery, K Yoo, MD Rosenberg, AS Greene, S Gao, DL Na, D Scheinost, ... Journal of cognitive neuroscience 32 (2), 241-255, 2020 | 102 | 2020 |
| How tasks change whole-brain functional organization to reveal brain-phenotype relationships AS Greene, S Gao, S Noble, D Scheinost, RT Constable Cell reports 32 (8), 2020 | 81 | 2020 |
| A hitchhiker’s guide to working with large, open-source neuroimaging datasets C Horien, S Noble, AS Greene, K Lee, DS Barron, S Gao, D O’Connor, ... Nature human behaviour 5 (2), 185-193, 2021 | 69 | 2021 |
| Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics S Gao, G Mishne, D Scheinost Human brain mapping 42 (14), 4510-4524, 2021 | 59* | 2021 |
| Transdiagnostic, connectome-based prediction of memory constructs across psychiatric disorders DS Barron, S Gao, J Dadashkarimi, AS Greene, MN Spann, S Noble, ... Cerebral Cortex 31 (5), 2523-2533, 2021 | 51 | 2021 |
| Rclens: Interactive rare category exploration and identification H Lin, S Gao, D Gotz, F Du, J He, N Cao IEEE transactions on visualization and computer graphics 24 (7), 2223-2237, 2017 | 51 | 2017 |
| Predicting the future of neuroimaging predictive models in mental health L Tejavibulya, M Rolison, S Gao, Q Liang, H Peterson, J Dadashkarimi, ... Molecular psychiatry 27 (8), 3129-3137, 2022 | 43 | 2022 |
| Brainhack: Developing a culture of open, inclusive, community-driven neuroscience R Gau, S Noble, K Heuer, KL Bottenhorn, IP Bilgin, YF Yang, ... Neuron 109 (11), 1769-1775, 2021 | 43 | 2021 |
| Adaptively exploring population mobility patterns in flow visualization F Wang, W Chen, Y Zhao, T Gu, S Gao, H Bao IEEE Transactions on Intelligent Transportation Systems 18 (8), 2250-2259, 2017 | 42 | 2017 |
| Transdiagnostic connectome-based prediction of craving KA Garrison, R Sinha, MN Potenza, S Gao, Q Liang, C Lacadie, ... American Journal of Psychiatry 180 (6), 445-453, 2023 | 34 | 2023 |
| Combining multiple connectomes improves predictive modeling of phenotypic measures. NeuroImage, 201, Article 116038 S Gao, AS Greene, RT Constable, D Scheinost | 30 | 2019 |
| Large-scale differences in functional organization of left-and right-handed individuals using whole-brain, data-driven analysis of connectivity L Tejavibulya, H Peterson, A Greene, S Gao, M Rolison, S Noble, ... Neuroimage 252, 119040, 2022 | 29 | 2022 |
| The instability of functional connectomes across the first year of life AJ Dufford, S Noble, S Gao, D Scheinost Developmental cognitive neuroscience 51, 101007, 2021 | 17 | 2021 |
| Smooth graph learning for functional connectivity estimation S Gao, X Xia, D Scheinost, G Mishne NeuroImage 239, 118289, 2021 | 16 | 2021 |
| Poincaré embedding reveals edge-based functional networks of the brain S Gao, G Mishne, D Scheinost Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 15 | 2020 |
| Altered brain dynamics across bipolar disorder and schizophrenia during rest and task switching revealed by overlapping brain states J Ye, H Sun, S Gao, J Dadashkarimi, M Rosenblatt, RX Rodriguez, ... Biological Psychiatry 94 (7), 580-590, 2023 | 12 | 2023 |
Dustin ScheinostYale UniversityPotvrđena adresa e-pošte na yale.edu