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Klaus Leonard Leenders
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Journal Articles
- 2024
- [j8]Rick van Veen
, Neha Rajendra Bari Tamboli
Subspace corrected relevance learning with application in neuroimaging. Artif. Intell. Medicine 149: 102786 (2024) - 2022
- [j7]Rick van Veen
FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder. Comput. Methods Programs Biomed. 225: 107042 (2022) - 2020
- [j6]Rick van Veen
An application of generalized matrix learning vector quantization in neuroimaging. Comput. Methods Programs Biomed. 197: 105708 (2020) - 2019
- [j5]Octavio Martinez Manzanera, Sanne K. Meles, Klaus Leonard Leenders
Scaled Subprofile Modeling and Convolutional Neural Networks for the Identification of Parkinson's Disease in 3D Nuclear Imaging Data. Int. J. Neural Syst. 29(9): 1950010:1-1950010:15 (2019) - 2015
- [j4]Deborah Mudali, Laura K. Teune, Remco J. Renken
Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features. Comput. Math. Methods Medicine 2015: 136921:1-136921:10 (2015) - 2009
- [j3]Martijn Beudel
Cerebral representations of space and time. NeuroImage 44(3): 1032-1040 (2009) - 2006
- [j2]Martin W. Stenekes, Johannes M. Hoogduin, Theo Mulder, Jan H. B. Geertzen, Klaus Leonard Leenders, Jean-Philippe A. Nicolai, Bauke M. de Jong
Functional dominance of finger flexion over extension, expressed in left parietal activation. NeuroImage 32(2): 676-683 (2006) - 2003
- [j1]Ralph Paul Maguire
Evidence of enhancement of spatial attention during inhibition of a visuo-motor response. NeuroImage 20(2): 1339-1345 (2003)
Conference and Workshop Papers
- 2018
- [c4]Rick van Veen
Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases. APPIS 2018: 280-289 - 2016
- [c3]Deborah Mudali, Jos B. T. M. Roerdink, Laura K. Teune, Klaus Leonard Leenders, Remco J. Renken
Comparison of decision tree and stepwise regression methods in classification of FDG-PET brain data using SSM/PCA features. ICACI 2016: 289-295 - [c2]Deborah Mudali, Michael Biehl
LVQ and SVM Classification of FDG-PET Brain Data. WSOM 2016: 205-215 - 2015
- [c1]Michael Biehl
Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ. BrainComp 2015: 131-141
Coauthor Index
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last updated on 2024-10-04 20:00 CEST by the dblp team
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