| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2322 | 2018 |
| Harmonization of cortical thickness measurements across scanners and sites JP Fortin, N Cullen, YI Sheline, WD Taylor, I Aselcioglu, PA Cook, ... Neuroimage 167, 104-120, 2018 | 1182 | 2018 |
| Brain charts for the human lifespan RAI Bethlehem, J Seidlitz, SR White, JW Vogel, KM Anderson, ... Nature 604 (7906), 525-533, 2022 | 1158 | 2022 |
| Harmonization of multi-site diffusion tensor imaging data JP Fortin, D Parker, B Tunç, T Watanabe, MA Elliott, K Ruparel, DR Roalf, ... Neuroimage 161, 149-170, 2017 | 1070 | 2017 |
| Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity R Ciric, DH Wolf, JD Power, DR Roalf, GL Baum, K Ruparel, ... Neuroimage 154, 174-187, 2017 | 983 | 2017 |
| The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ... arXiv preprint arXiv:2107.02314, 2021 | 892 | 2021 |
| SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network J Hu, X Li, K Coleman, A Schroeder, N Ma, DJ Irwin, EB Lee, ... Nature methods 18 (11), 1342-1351, 2021 | 629 | 2021 |
| The extent and drivers of gender imbalance in neuroscience reference lists JD Dworkin, KA Linn, EG Teich, P Zurn, RT Shinohara, DS Bassett Nature neuroscience 23 (8), 918-926, 2020 | 559 | 2020 |
| On testing for spatial correspondence between maps of human brain structure and function AF Alexander-Bloch, H Shou, S Liu, TD Satterthwaite, DC Glahn, ... Neuroimage 178, 540-551, 2018 | 537 | 2018 |
| Linked dimensions of psychopathology and connectivity in functional brain networks CH Xia, Z Ma, R Ciric, S Gu, RF Betzel, AN Kaczkurkin, ME Calkins, ... Nature communications 9 (1), 3003, 2018 | 451 | 2018 |
| Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan R Pomponio, G Erus, M Habes, J Doshi, D Srinivasan, E Mamourian, ... NeuroImage 208, 116450, 2020 | 441 | 2020 |
| Development of structure–function coupling in human brain networks during youth GL Baum, Z Cui, DR Roalf, R Ciric, RF Betzel, B Larsen, M Cieslak, ... Proceedings of the National Academy of Sciences 117 (1), 771-778, 2020 | 426 | 2020 |
| Statistical normalization techniques for magnetic resonance imaging RT Shinohara, EM Sweeney, J Goldsmith, N Shiee, FJ Mateen, ... NeuroImage: Clinical 6, 9-19, 2014 | 424 | 2014 |
| Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data M Yu, KA Linn, PA Cook, ML Phillips, M McInnis, M Fava, MH Trivedi, ... Human brain mapping 39 (11), 4213-4227, 2018 | 413 | 2018 |
| Modular segregation of structural brain networks supports the development of executive function in youth GL Baum, R Ciric, DR Roalf, RF Betzel, TM Moore, RT Shinohara, ... Current Biology 27 (11), 1561-1572. e8, 2017 | 410 | 2017 |
| The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative P Sati, J Oh, RT Constable, N Evangelou, CRG Guttmann, RG Henry, ... Nature Reviews Neurology 12 (12), 714-722, 2016 | 405 | 2016 |
| Quantitative assessment of structural image quality AFG Rosen, DR Roalf, K Ruparel, J Blake, K Seelaus, LP Villa, R Ciric, ... Neuroimage 169, 407-418, 2018 | 374 | 2018 |
| Large-scale radiomic profiling of recurrent glioblastoma identifies an imaging predictor for stratifying anti-angiogenic treatment response P Kickingereder, M Götz, J Muschelli, A Wick, U Neuberger, RT Shinohara, ... Clinical Cancer Research 22 (23), 5765-5771, 2016 | 276 | 2016 |
| Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning GB Chand, DB Dwyer, G Erus, A Sotiras, E Varol, D Srinivasan, J Doshi, ... Brain 143 (3), 1027-1038, 2020 | 261 | 2020 |
| Impact of puberty on the evolution of cerebral perfusion during adolescence TD Satterthwaite, RT Shinohara, DH Wolf, RD Hopson, MA Elliott, ... Proceedings of the National Academy of Sciences 111 (23), 8643-8648, 2014 | 253 | 2014 |
Theodore D. SatterthwaiteMcLure II Associate Professor & Director, PennLINC @ University of PennsylvaniaZweryfikowany adres z upenn.edu
