Research Topics
| Juha R KoikkalainenSummaryAffiliation: VTT Biotechnology Country: Finland Publications
| Collaborators
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Detail Information
Publications
Improved classification of Alzheimer's disease data via removal of nuisance variabilityJuha Koikkalainen
VTT Technical Research Centre of Finland, Tampere, Finland
PLoS ONE 7:e31112. 2012..In conclusion, the study shows that the excess variability caused by nuisance features should be removed from the data to improve the classification accuracy, and therefore, the reliability of diagnosis making...
Late gadolinium enhanced cardiovascular magnetic resonance of lamin A/C gene mutation related dilated cardiomyopathyMiia Holmström
Department of Radiology, University of Helsinki and HUS Radiology Medical Imaging Center P, O, Box 340, FI 00029 HUS, Finland
J Cardiovasc Magn Reson 13:30. 2011..We also investigated the connection between myocardial fibrosis and conduction abnormalities...
Shape variability of the human striatum--Effects of age and genderJuha Koikkalainen
Laboratory of Biomedical Engineering, Helsinki University of Technology, PO Box 2200, FIN 02015 HUT, Finland
Neuroimage 34:85-93. 2007..This method will be particularly useful for investigating neuropsychiatric disorders that are associated with subtle morphological alterations of the brain, such as schizophrenia...
Early familial dilated cardiomyopathy: identification with determination of disease state parameter from cine MR image dataJuha R Koikkalainen
VTT Technical Research Centre of Finland, Tekniikankatu 1, FIN 33101 Tampere, Finland
Radiology 249:88-96. 2008..To characterize early changes in cardiac anatomy and function for lamin A/C gene (LMNA) mutation carriers by using magnetic resonance (MR) imaging and to develop tools to analyze and visualize the findings...
Methods of artificial enlargement of the training set for statistical shape modelsJuha Koikkalainen
VTT Technical Research Centre of Finland, FIN 33101 Tampere, Finland
IEEE Trans Med Imaging 27:1643-54. 2008..The active shape model segmentation gave better segmentation accuracy than the one based on the simulated annealing optimization of the model weights...
Multi-template tensor-based morphometry: application to analysis of Alzheimer's diseaseJuha Koikkalainen
VTT Technical Research Centre of Finland, Tampere, Finland
Neuroimage 56:1134-44. 2011..The statistical group-level difference maps produced using multi-template TBM were smoother, formed larger continuous regions, and had larger t-values than the maps obtained with single-template TBM...
Fast and robust multi-atlas segmentation of brain magnetic resonance imagesJyrki Mp Lötjönen
Knowledge Intensive Services, VTT Technical Research Centre of Finland, PO Box 1300 street address Tekniikankatu 1, FIN 33101 Tampere, Finland
Neuroimage 49:2352-65. 2010..The correlation coefficient for hippocampal volumes was 0.95 with the ADNI data. The computation time using a standard multicore PC computer was about 3-4 min. Our results compare favourably with other recently published results...
Evaluation of cardiac biventricular segmentation from multiaxis MRI data: a multicenter studyJyrki M P Lötjönen
VTT Technical Research Centre of Finland, Tampere, Finland
J Magn Reson Imaging 28:626-36. 2008..To validate a volumetric biventricular segmentation solution for multiaxis cardiac magnetic resonance (CMR) images...
