Adon F. G. Rosen
Radiology, Nuclear Medicine and Imaging · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Radiology, Nuclear Medicine and Imaging — 63 citations into it
Whom Adon F. G. Rosen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bruce Fischl
- Yongyue Zhang
- Elizabeth R. DeLong
- A. M. Dale
- M. Dylan Tisdall
- Jonathan D. Power
- Christian K. Tamnes
- Elizabeth R. Sowell
Papers from Adon F. G. Rosen's perspective
Ordered by how strongly the researchers Adon F. G. Rosen trusts endorse each paper. Same corpus, a different order for every researcher.
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
- 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)
- Mapping cortical change across the human life span (Nature Neuroscience)
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- FreeSurfer (NeuroImage)
- Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children (Journal of Neuroscience)
- Volumetric Navigators (vNavs) for Prospective Motion Correction and Selective Reacquisition in Neuroanatomical MRI (Magnetic Resonance in Medicine)
- Dynamic mapping of human cortical development during childhood through early adulthood. (Proceedings of the National Academy of Sciences of the United States of America)
- Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.
- Structural Magnetic Resonance Imaging of the Adolescent Brain (Annals of the New York Academy of Sciences)
Their papers
- Mitigating head motion artefact in functional connectivity MRI (2018) — 302 citations
- Quantitative Assessment of Structural Image Quality (2017) — 399 citations