Alex P. Zijdenbos
Cognitive Neuroscience · 1998–2017
A researcher in the Science corpus: 10 papers; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 24 citations into it; #7,116 of 10,852 by trust here, #1,743 by citations
- Radiology, Nuclear Medicine and Imaging — 17 citations into it; #327 of 3,265 by trust here, #524 by citations
- Computer Vision and Pattern Recognition — 16 citations into it; #9,256 of 21,575 by trust here, #11,498 by citations
- Statistics and Probability — 12 citations into it; #7,215 of 12,932 by trust here, #6,310 by citations
Whom Alex P. Zijdenbos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Julian Besag
- J. Fleiss
- K. V. Leemput
- John G. Sled
- Alan C. Evans
- Frederik Maes
- John Ashburner
- Joseph B. Kruskal
- Dzung L. Pham
- Dirk Vandermeulen
Who trusts Alex P. Zijdenbos overall
- Alan C. Evans
- Yong He
- Jason P. Lerch
- Zhang John Chen
- Jens C. Pruessner
- Paul M. Thompson
- Gaolang Gong
- Brain Development Cooperative Group
- Rhoshel K. Lenroot
- Mariano Cabezas
Papers from Alex P. Zijdenbos's perspective
Ordered by how strongly the researchers Alex P. Zijdenbos trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Pattern classification and scene analysis
- Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
- A nonparametric method for automatic correction of intensity nonuniformity in MRI data
- Magnetic resonance image tissue classification using a partial volume model. (NeuroImage)
- A Threshold Selection Method from Gray-Level Histograms
- Voxel-based morphometry--the methods.
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm (IEEE Transactions on Medical Imaging)
- A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms
- 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)
Their papers
- Sexual dimorphism of brain developmental trajectories during childhood and adolescence (2007) — 1,307 citations
- Fast and robust parameter estimation for statistical partial volume models in brain MRI (2004) — 700 citations
- Subcortical brain volume differences of participants with ADHD across the lifespan: an ENIGMA collaboration (2017) — 1,342 citations
- LORIS: a web-based data management system for multi-center studies (2012)
- Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy. (2004) — 450 citations
- A fully automatic and robust brain MRI tissue classification method (2003) — 379 citations
- Developmental trajectories of brain volume abnormalities in children and adolescents with attention-deficit/hyperactivity disorder. (2002) — 1,676 citations
- Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis (2002) — 806 citations
- Maturation of white matter in the human brain: a review of magnetic resonance studies. (2001) — 897 citations
- A nonparametric method for automatic correction of intensity nonuniformity in MRI data (1998)