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2110 Total Publications

Gaussian Mixture Models and Model Selection for [18F] Fluorodeoxyglucose Positron Emission Tomography Classification in Alzheimer’s Disease
Li, R., Perneczky, R., Yakushev, I., Förster, S., Kurz, A., Drzezga, A., & Kramer, S.
PMID: 25919662 ; PMCID:4412726 ; 2014; Journal PloS One; vol. 10; no. 4; pp. e0122731; doi:10.1371/journal.pone.0122731
Multi-Channel neurodegenerative pattern analysis and its applicationin Alzheimer’s disease characterization
Liu, S., Cai, W., Wen, L., Feng, D. D., Pujol, S., Kikinis, R., … Eberl, S.
PMID: 24933011 ; PMCID:4135007 ; 2014; Journal Computerized Medical Imaging and Graphics; vol. 38; no. 6; pp. 436-444; doi:10.1016/j.compmedimag.2014.05.003
A Robust Deep Model for Improved Classification of AD/MCI Patients
Li, F., Tran, L., Thung, K.-H., Ji, S., Shen, D., & Li, J.
PMID: 25955998 ; PMCID:4573581 ; 2014; Journal Machine Learning in Medical Imaging; vol. 8679; pp. 240-247; doi:10.1007/978-3-319-10581-9_30
Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI
Lillemark, L., Sørensen, L., Pai, A., Dam, E. B., & Nielsen, M.
PMID: 24889999 ; PMCID:4048460 ; 2014; Journal BMC Medical Imaging; vol. 14; no. 1; pp. 21; doi:10.1186/1471-2342-14-21
Disentangling normal aging from Alzheimer's disease in structural magnetic resonance images
Lorenzi M1, Pennec X2, Frisoni GB3, Ayache N2; Alzheimer's Disease Neuroimaging Initiative
PMID: 25311276 ; 2014; Journal Neurobiology of Aging; vol. 36; pp. S42-52; doi:10.1016/j.neurobiolaging.2014.07.046
Multivariate Tensor-Based Morphometry with a Right-Invariant Riemannian Distance on GL+(n).
Ernesto Zacur, Matias Bossa, Salvador Olmos.
2014; Journal Journal of Mathematical Imaging and Vision; vol. 50; pp. 18-31;
BIDIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION OF FUNCTIONAL BIOMEDICAL IMAGES.
NEUBAUER, A., TOMÉ, A. M., KODEWITZ, A., GÓRRIZ, J. M., PUNTONET, C. G., & LANG, E. W.
2014; Journal Advances in Adaptive Data Analysis; vol. 6; no. 1; pp. 1450004; doi:10.1142/S1793536914500046
The Empirical Variance Estimator for Computer Aided Diagnosis: Lessons for Algorithm Validation
Mendelson, A. F., Zuluaga, M. A., Thurfjell, L., Hutton, B. F., & Ourselin, S.
PMID: 25485384 ; 2014; Journal Medical Image Computing and Computer-Assisted Intervention; vol. 17; no. 2; pp. 236-43;