Rachel Aine Yotter

Cognitive Neuroscience · 2003–2013

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 9 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Radiology, Nuclear Medicine and Imaging — 9 citations into it

Whom Rachel Aine Yotter trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jason P. Lerch
2. Alan C. Evans
3. Simon Fristed Eskildsen
4. Yongyue Zhang
5. Stephen E. Jones
6. Jussi Tohka
7. Chloe Hutton
8. Elizabeth R. Sowell
9. D. V. Van Essen
10. Pierrick Coupé

Who trusts Rachel Aine Yotter overall

1. Christian Gaser

Papers from Rachel Aine Yotter's perspective

Ordered by how strongly the researchers Rachel Aine Yotter trusts endorse each paper. Same corpus, a different order for every researcher.

1. Measuring the thickness of the human cerebral cortex from magnetic resonance images. (Proceedings of the National Academy of Sciences of the United States of America)
2. Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. (NeuroImage)
3. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
4. Three‐dimensional mapping of cortical thickness using Laplace's Equation (Human Brain Mapping)
5. Fast and robust parameter estimation for statistical partial volume models in brain MRI (NeuroImage)
6. Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children (Journal of Neuroscience)
7. Cortical thickness analysis examined through power analysis and a population simulation (NeuroImage)
8. Automated 3-D extraction and evaluation of the inner and outer cortical surfaces using a Laplacian map and partial volume effect classification (NeuroImage)
9. An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images (IEEE Transactions on Medical Imaging)
10. A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging (NeuroImage)

Their papers

• A review of photodetectors for sensing light-emitting reporters in biological systems (2003) — 172 citations
• Cortical thickness and central surface estimation (2013) — 670 citations