| Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... Nature 582 (7810), 84-88, 2020 | 910 | 2020 |
| Polarization of microbial communities between competitive and cooperative metabolism D Machado, OM Maistrenko, S Andrejev, Y Kim, P Bork, KR Patil, KR Patil Nature ecology & evolution 5 (2), 195-203, 2021 | 166 | 2021 |
| A simple plug-in bagging ensemble based on threshold-moving for classifying binary and multiclass imbalanced data G Collell, D Prelec, KR Patil Neurocomputing 275, 330-340, 2018 | 154 | 2018 |
| Sex classification by resting state brain connectivity S Weis, KR Patil, F Hoffstaedter, A Nostro, BTT Yeo, SB Eickhoff Cerebral cortex 30 (2), 824-835, 2020 | 148 | 2020 |
| Predicting personality from network-based resting-state functional connectivity AD Nostro, VI Müller, DP Varikuti, RN Pläschke, F Hoffstaedter, R Langner, ... Brain Structure and Function 223, 2699-2719, 2018 | 142 | 2018 |
| The PhyloPythiaS web server for taxonomic assignment of metagenome sequences KR Patil, L Roune, AC McHardy PloS one 7 (6), e38581, 2012 | 133 | 2012 |
| Taxonomic metagenome sequence assignment with structured output models KR Patil, P Haider, PB Pope, PJ Turnbaugh, M Morrison, T Scheffer, ... Nature methods 8 (3), 191-192, 2011 | 132 | 2011 |
| Evaluation of non-negative matrix factorization of grey matter in age prediction DP Varikuti, S Genon, A Sotiras, H Schwender, F Hoffstaedter, KR Patil, ... Neuroimage 173, 394-410, 2018 | 114 | 2018 |
| Neurobiological divergence of the positive and negative schizophrenia subtypes identified on a new factor structure of psychopathology using non-negative factorization: an … J Chen, KR Patil, S Weis, K Sim, T Nickl-Jockschat, J Zhou, A Aleman, ... Biological psychiatry 87 (3), 282-293, 2020 | 82 | 2020 |
| Optimal teaching for limited-capacity human learners KR Patil, J Zhu, Ł Kopeć, BC Love Advances in neural information processing systems 27, 2014 | 82 | 2014 |
| Multimodal parcellations and extensive behavioral profiling tackling the hippocampus gradient A Plachti, SB Eickhoff, F Hoffstaedter, KR Patil, AR Laird, PT Fox, ... Cerebral cortex 29 (11), 4595-4612, 2019 | 81 | 2019 |
| Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity J Li, D Bzdok, J Chen, A Tam, LQR Ooi, AJ Holmes, T Ge, KR Patil, ... Science advances 8 (11), eabj1812, 2022 | 67 | 2022 |
| Sumgraph: text summarization using centrality in the pathfinder network K Patil, P Brazdil International Journal on Computer Science and Information Systems 2 (1), 18-32, 2007 | 60 | 2007 |
| Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission C Rubbert, KR Patil, K Beseoglu, C Mathys, R May, MG Kaschner, B Sigl, ... European radiology 28, 4949-4958, 2018 | 52 | 2018 |
| Imaging evolution of the primate brain: the next frontier? P Friedrich, SJ Forkel, C Amiez, JH Balsters, O Coulon, L Fan, A Goulas, ... NeuroImage 228, 117685, 2021 | 51 | 2021 |
| Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to molecular architecture J Chen, VI Müller, J Dukart, F Hoffstaedter, JT Baker, AJ Holmes, ... Biological psychiatry 89 (3), 308-319, 2021 | 50 | 2021 |
| A too-good-to-be-true prior to reduce shortcut reliance N Dagaev, BD Roads, X Luo, DN Barry, KR Patil, BC Love Pattern Recognition Letters 166, 164-171, 2023 | 46 | 2023 |
| Reviving threshold-moving: a simple plug-in bagging ensemble for binary and multiclass imbalanced data G Collell, D Prelec, K Patil arXiv preprint arXiv:1606.08698, 2016 | 42 | 2016 |
| Integration and segregation of default mode network resting-state functional connectivity in transition-age males with high-functioning autism spectrum disorder: a proof-of … G Joshi, S Arnold Anteraper, KR Patil, M Semwal, RL Goldin, SL Furtak, ... Brain Connectivity 7 (9), 558-573, 2017 | 41 | 2017 |
| Confound removal and normalization in practice: A neuroimaging based sex prediction case study S More, SB Eickhoff, J Caspers, KR Patil Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 39 | 2021 |
Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität Düsseldorf在 uni-duesseldorf.de 的电子邮件经过验证
