C. Rorden
Radiology, Nuclear Medicine and Imaging · 2000–2018
A researcher in the Science corpus: 9 papers; trusts 18 researchers and is trusted by 60 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 94 citations into it; #87 of 3,265 by trust here, #513 by citations
- Cognitive Neuroscience — 82 citations into it; #485 of 10,852 by trust here, #1,505 by citations
- Computer Vision and Pattern Recognition — 28 citations into it; #10,980 of 21,575 by trust here, #12,419 by citations
Whom C. Rorden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew Brett
- Stephen M. Smith
- Yoav Benjamini
- Hans-Otto Karnath
- Mark Jenkinson
- Y. Hochberg
- Stephen M. Wilson
- Earl K. Miller
- Alexander P. Leff
- Melvyn A. 6oodale
Who trusts C. Rorden overall
- Hans-Otto Karnath
- Lesley K. Fellows
- Daniel Y. Kimberg
- Christopher D. Chambers
- Martha J. Farah
- Micah M. Murray
- I. Ellison-Wright
- H. Branch Coslett
- John A. Clithero
- Diane Swick
Papers from C. Rorden's perspective
Ordered by how strongly the researchers C. Rorden trusts endorse each paper. Same corpus, a different order for every researcher.
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Fast robust automated brain extraction
- Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data (NeuroImage)
- Stereotaxic display of brain lesions. (Behavioural Neurology)
- Probabilistic independent component analysis for functional magnetic resonance imaging (IEEE Transactions on Medical Imaging)
- Numerical recipes in C
- Multiband Multislice GE-EPI at 7 Tesla, With 16-Fold Acceleration Using Partial Parallel Imaging With Application to High Spatial and Temporal Whole-Brain FMRI (Magnetic Resonance in Medicine)
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- The Nonparametric Behrens‐Fisher Problem: Asymptotic Theory and a Small‐Sample Approximation
- On Combining Classifiers
Their papers
- Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging (2018) — 692 citations
- Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank (2017) — 1,470 citations
- The first step for neuroimaging data analysis: DICOM to NIfTI conversion. (2016) — 1,017 citations
- Age-specific CT and MRI templates for spatial normalization (2012) — 699 citations
- Improving Lesion-Symptom Mapping (2007) — 1,348 citations
- Using human brain lesions to infer function: a relic from a past era in the fMRI age? (2004) — 685 citations
- The anatomy of spatial neglect based on voxelwise statistical analysis: a study of 140 patients. (2004) — 600 citations
- Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking (2001) — 930 citations
- Stereotaxic display of brain lesions. (2000) — 2,669 citations