Stefan J. Teipel
Cognitive Neuroscience · 2004–2010
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 23 citations into it; #7,216 of 10,852 by trust here, #3,648 by citations
- Radiology, Nuclear Medicine and Imaging — 20 citations into it; #1,977 of 3,265 by trust here, #1,970 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Artificial Intelligence — 5 citations into it
Whom Stefan J. Teipel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yong Fan
- John Ashburner
- Christos Davatzikos
- J. Ross Quinlan
- Rachael I. Scahill
- Karl J. Friston
- Michael Kearns
- Mark A. Hall
Who trusts Stefan J. Teipel overall
Papers from Stefan J. Teipel's perspective
Ordered by how strongly the researchers Stefan J. Teipel trusts endorse each paper. Same corpus, a different order for every researcher.
- Voxel-based morphometry--the methods.
- Automatic classification of MR scans in Alzheimer’s disease
- Automatic Differentiation of Anatomical Patterns in the Human Brain: Validation with Studies of Degenerative Dementias (NeuroImage)
- Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas.
- Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
- A voxel-based morphometric study of ageing in 465 normal adult human brains (5th IEEE EMBS International Summer School on Biomedical Imaging, 2002.)
- 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)
- Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy
- Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate (NeuroImage)
- Preclinical detection of Alzheimer's disease: hippocampal shape and volume predict dementia onset in the elderly (NeuroImage)
Their papers
- Biomarkers for Alzheimer's disease: academic, industry and regulatory perspectives (2010) — 659 citations
- Automated detection of brain atrophy patterns based on MRI for the prediction of Alzheimer's disease (2010) — 356 citations
- CSF phosphorylated tau protein correlates with neocortical neurofibrillary pathology in Alzheimer's disease. (2006) — 624 citations
- Focal decline of cortical thickness in Alzheimer's disease identified by computational neuroanatomy. (2004) — 450 citations