Fidel Alfaro-Almagro
Radiology, Nuclear Medicine and Imaging · 2016–2022
A researcher in the Science corpus: 8 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 138 citations into it
- Cognitive Neuroscience — 108 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Signal Processing — 15 citations into it
- Analytical Chemistry — 5 citations into it
Whom Fidel Alfaro-Almagro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen M. Smith
- Christian F. Beckmann
- Jesper L. R. Andersson
- Mark Jenkinson
- Aapo Hyvärinen
- Pedro M. Domingos
- Ludmila I. Kuncheva
- W. Arveson
- Mark William Woolrich
- Matthew F. Glasser
Papers from Fidel Alfaro-Almagro's perspective
Ordered by how strongly the researchers Fidel Alfaro-Almagro trusts endorse each paper. Same corpus, a different order for every researcher.
- Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Accurate and Robust Brain Image Alignment using Boundary-based Registration (NeuroImage)
- Correspondence of the brain's functional architecture during activation and rest
- Fast robust automated brain extraction
- Advances in functional and structural MR image analysis and implementation as FSL.
- Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (NeuroImage)
- Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images (NeuroImage)
- How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging (NeuroImage)
- Characterization and propagation of uncertainty in diffusion‐weighted MR imaging (Magnetic Resonance in Medicine)
Their papers
- SARS-CoV-2 is associated with changes in brain structure in UK Biobank (2022) — 1,338 citations
- Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction (2018) — 308 citations
- Genome-wide association studies of brain imaging phenotypes in UK Biobank (2018) — 738 citations
- Discovering dynamic brain networks from big data in rest and task (2017) — 355 citations
- Hand classification of fMRI ICA noise components (2017) — 509 citations
- Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017) — 1,470 citations
- BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods (2016) — 311 citations
- Multimodal population brain imaging in the UK Biobank prospective epidemiological study (2016) — 1,045 citations