Katja Franke

Psychiatry and Mental health · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Psychiatry and Mental health — 28 citations into it; #656 of 1,338 by trust here, #517 by citations
• Cognitive Neuroscience — 18 citations into it
• Neurology — 14 citations into it; #794 of 1,455 by trust here, #861 by citations
• Radiology, Nuclear Medicine and Imaging — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it; #16,167 of 21,575 by trust here, #13,542 by citations
• Artificial Intelligence — 9 citations into it

Whom Katja Franke trusts overall

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

1. Anita C. Faul
2. Naftali Raz
3. Arthur W. Toga
4. Catriona D. Good
5. John Ashburner
6. Meritxell Bach Cuadra
7. Michael E. Tipping
8. Paul M. Thompson
9. James H. Cole
10. Ingrid S. Johnsrude

Who trusts Katja Franke overall

1. James H. Cole
2. Daoqiang Zhang
3. Elaheh Moradi
4. Dinggang Shen
5. Antonietta Pepe

Papers from Katja Franke's perspective

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

1. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. (Cerebral Cortex)
2. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters (NeuroImage)
3. Analysis of Sparse Bayesian Learning (Neural Information Processing Systems)
4. Mapping brain maturation. (Trends in Neurosciences)
5. Automatic classification of MR scans in Alzheimer’s disease
6. Trajectories of brain aging in middle-aged and older adults: Regional and individual differences (NeuroImage)
7. The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease (International Psychogeriatrics)
8. Introduction to Revised Criteria for the Diagnosis of Alzheimer’s Disease: National Institute on Aging and the Alzheimer Association Workgroups (Alzheimer's & Dementia)
9. Automatic classification of patients with Alzheimer's disease from structural MRI: A comparison of ten methods using the ADNI database (NeuroImage)
10. Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images (IEEE Transactions on Medical Imaging)

Their papers

• Predicting Age Using Neuroimaging: Innovative Brain Ageing Biomarkers. (2017) — 848 citations
• Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge (2015) — 349 citations
• Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters (2010) — 772 citations