Diego Vidaurre
Cognitive Neuroscience · 2013–2020
A researcher in the Science corpus: 9 papers; trusts 19 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 260 citations into it; #7,321 of 10,852 by trust here, #2,087 by citations
- Radiology, Nuclear Medicine and Imaging — 133 citations into it; #3,067 of 3,265 by trust here, #861 by citations
- Statistics and Probability — 16 citations into it
- Signal Processing — 15 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
Whom Diego Vidaurre trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- Christian F. Beckmann
- Radford M. Neal
- Lawrence R. Rabiner
- Helmut Ltkepohl
- Adam P. Baker
- Nora Leonardi
- Rikkert Hindriks
- Pascal Fries
- Guido Nolte
Who trusts Diego Vidaurre overall
- Stephen M. Smith
- Mark William Woolrich
- Fidel Alfaro-Almagro
- Daniel J. Lurie
- Romesh G. Abeysuriya
- Bratislav Misic
Papers from Diego Vidaurre's perspective
Ordered by how strongly the researchers Diego Vidaurre trusts endorse each paper. Same corpus, a different order for every researcher.
- Correspondence of the brain's functional architecture during activation and rest
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
- Mapping the Structural Core of Human Cerebral Cortex (PLoS Biology)
- Fast robust automated brain extraction
- Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
- Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
- Accurate and Robust Brain Image Alignment using Boundary-based Registration (NeuroImage)
- Pattern Recognition and Machine Learning
- EEG correlates of time-varying BOLD functional connectivity (NeuroImage)
Their papers
- Questions and controversies in the study of time-varying functional connectivity in resting fMRI (2020) — 569 citations
- Dynamics of large-scale electrophysiological networks: A technical review (2017)
- Discovering dynamic brain networks from big data in rest and task (2017) — 355 citations
- Brain network dynamics are hierarchically organized in time (2017) — 836 citations
- Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks (2017) — 356 citations
- Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017) — 1,470 citations
- Spectrally resolved fast transient brain states in electrophysiological data (2016) — 381 citations
- A positive-negative mode of population covariation links brain connectivity, demographics and behavior (2015) — 887 citations
- Functional connectomics from resting-state fMRI. (2013) — 984 citations