| An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI L Parkes, B Fulcher, M Yücel, A Fornito Neuroimage 171, 415-436, 2018 | 624 | 2018 |
| Highly comparative feature-based time-series classification BD Fulcher, NS Jones IEEE Transactions on Knowledge and Data Engineering 26 (12), 3026-3037, 2014 | 414 | 2014 |
| A practical guide to linking brain-wide gene expression and neuroimaging data A Arnatkevic̆iūtė, BD Fulcher, A Fornito Neuroimage 189, 353-367, 2019 | 381 | 2019 |
| Highly comparative time-series analysis: the empirical structure of time series and their methods BD Fulcher, MA Little, NS Jones Journal of the Royal Society Interface 10 (83), 20130048, 2013 | 339 | 2013 |
| hctsa: A computational framework for automated time-series phenotyping using massive feature extraction BD Fulcher, NS Jones Cell systems 5 (5), 527-531. e3, 2017 | 225 | 2017 |
| Bridging the gap between connectome and transcriptome A Fornito, A Arnatkevičiūtė, BD Fulcher Trends in cognitive sciences 23 (1), 34-50, 2019 | 222 | 2019 |
| Consistency and differences between centrality measures across distinct classes of networks S Oldham, B Fulcher, L Parkes, A Arnatkevic̆iūtė, C Suo, A Fornito PloS one 14 (7), e0220061, 2019 | 221 | 2019 |
| catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis CH Lubba, SS Sethi, P Knaute, SR Schultz, BD Fulcher, NS Jones Data Mining and Knowledge Discovery 33 (6), 1821-1852, 2019 | 208 | 2019 |
| A transcriptional signature of hub connectivity in the mouse connectome BD Fulcher, A Fornito Proceedings of the National Academy of Sciences 113 (5), 1435-1440, 2016 | 200 | 2016 |
| Multimodal gradients across mouse cortex BD Fulcher, JD Murray, V Zerbi, XJ Wang Proceedings of the National Academy of Sciences 116 (10), 4689-4695, 2019 | 160 | 2019 |
| Developmental changes in brain network hub connectivity in late adolescence STE Baker, DI Lubman, M Yücel, NB Allen, S Whittle, BD Fulcher, ... Journal of Neuroscience 35 (24), 9078-9087, 2015 | 148 | 2015 |
| Feature-based time-series analysis BD Fulcher arXiv preprint arXiv:1709.08055, 2017 | 139 | 2017 |
| Predicting depression from language-based emotion dynamics: longitudinal analysis of Facebook and Twitter status updates EM Seabrook, ML Kern, BD Fulcher, NS Rickard Journal of medical Internet research 20 (5), e168, 2018 | 115 | 2018 |
| Standardizing workflows in imaging transcriptomics with the abagen toolbox RD Markello, A Arnatkeviciute, JB Poline, BD Fulcher, A Fornito, B Misic elife 10, e72129, 2021 | 108 | 2021 |
| Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set SS Sethi, NS Jones, BD Fulcher, L Picinali, DJ Clink, H Klinck, CDL Orme, ... Proceedings of the National Academy of Sciences 117 (29), 17049-17055, 2020 | 106 | 2020 |
| Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders NW Bailey, KE Hoy, NC Rogasch, RH Thomson, S McQueen, D Elliot, ... Brain stimulation 11 (1), 190-203, 2018 | 98 | 2018 |
| Identifying and removing widespread signal deflections from fMRI data: Rethinking the global signal regression problem KM Aquino, BD Fulcher, L Parkes, K Sabaroedin, A Fornito Neuroimage 212, 116614, 2020 | 94 | 2020 |
| Sleep patterns predictive of daytime challenging behavior in individuals with low‐functioning autism S Cohen, BD Fulcher, SMW Rajaratnam, R Conduit, JP Sullivan, ... Autism Research 11 (2), 391-403, 2018 | 94 | 2018 |
| Genetic influences on hub connectivity of the human connectome A Arnatkeviciute, BD Fulcher, S Oldham, J Tiego, C Paquola, Z Gerring, ... Nature communications 12 (1), 4237, 2021 | 90 | 2021 |
| Topographic gradients of intrinsic dynamics across neocortex G Shafiei, RD Markello, R Vos de Wael, BC Bernhardt, BD Fulcher, ... elife 9, e62116, 2020 | 88 | 2020 |
Alexander FornitoAssociate Professor, Monash Clinical and Imaging Neuroscience, Monash University在 monash.edu 的电子邮件经过验证
