Deborah Mudali

According to our database, Deborah Mudali authored at least 6 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

Automated Detection of Tuberculosis from Sputum Smear Microscopic Images Using Transfer Learning Techniques.

Lillian Muyama, Joyce Nakatumba-Nabende, Deborah Mudali

Proceedings of the Intelligent Systems Design and Applications, 2019

2018

Machine Learning Based Analysis of FDG-PET Image Data for the Diagnosis of Neurodegenerative Diseases.

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

Proceedings of the Applications of Intelligent Systems, 2018

2016

LVQ and SVM Classification of FDG-PET Brain Data.

Deborah Mudali, Michael Biehl, Klaus Leonard Leenders, Jos B. T. M. Roerdink

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Comparison of decision tree and stepwise regression methods in classification of FDG-PET brain data using SSM/PCA features.

Deborah Mudali, Jos B. T. M. Roerdink, Laura K. Teune, Klaus Leonard Leenders, Remco J. Renken

Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

2015

Classification of Parkinsonian Syndromes from FDG-PET Brain Data Using Decision Trees with SSM/PCA Features.

Deborah Mudali, Laura K. Teune, Remco J. Renken, Klaus Leonard Leenders, Jos B. T. M. Roerdink

Comput. Math. Methods Medicine, 2015

Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ.

Michael Biehl, Deborah Mudali, Klaus Leonard Leenders, Jos B. T. M. Roerdink

Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015