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2010 – 2019
- 2019
[c5]Lillian Muyama, Joyce Nakatumba-Nabende
, Deborah Mudali:
Automated Detection of Tuberculosis from Sputum Smear Microscopic Images Using Transfer Learning Techniques. ISDA 2019: 59-68- 2018
- [c4]Rick van Veen, Lidia Talavera-Martínez, Rosalie V. Kogan, Sanne K. Meles, Deborah Mudali, Jos B. T. M. Roerdink, Federico Massa, M. Grazzini, Jose A. Obeso, Maria C. Rodriguez-Oroz, Klaus Leonard Leenders, Remco J. Renken, J. J. G. de Vries, Michael Biehl:
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, Klaus Leonard Leenders, Jos B. T. M. Roerdink:
LVQ and SVM Classification of FDG-PET Brain Data. WSOM 2016: 205-215 - 2015
- [j1]Deborah Mudali, Laura K. Teune, Remco J. Renken, Klaus Leonard Leenders, Jos B. T. M. Roerdink:
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) - [c1]Michael Biehl, Deborah Mudali, Klaus Leonard Leenders, Jos B. T. M. Roerdink:
Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ. BrainComp 2015: 131-141
Coauthor Index
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