Section Editors

Section Board for 'Neuroimaging and Neuroinformatics' (7)

Please see the section webpage for more information on this section.

Dr. Steffen Oeltze-Jafra
Department of Neurology, Medical Faculty, University of Magdeburg, 39120 Magdeburg, Germany
Interests: medical visualization; visual analytics; secondary use of clinical data; model-based clinical decision support; research data management
Dr. Constantino Carlos Reyes-Aldasoro
giCentre, Department of Computer Science, School of Mathematicals, Computer Science and Engineering, City, University of London, London EC1V 0HB, UK
Interests: medical image computing; biomedical image analysis; texture; cell tracking; cell segmentation; visualisation
Dr. Leonardo Rundo
Department of Radiology, University of Cambridge, Cambridge CB2 1TN, UK
Interests: medical image analysis; digital image processing; machine learning; computational intelligence; soft computing; oncological imaging; radiomics
Special Issues and Collections in MDPI journals
Prof. Dr. Jussi Tohka
A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, FI-70211 Kuopio, Finland
Interests: brain image analysis; machine learning; neuroinformatics
Dr. Archana Venkataraman
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
Interests: functional neuroimaging (fMRI, EEG); machine learning & probabilistic inference; network modeling of the brain; integration of imaging, genetics and behavioral data
Prof. Dr. Antonio Fernández-Caballero
Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 02071 Albacete, Spain
Interests: pattern recognition; human–computer interaction; affective computing; computer vision; multi-sensor fusion
Special Issues and Collections in MDPI journals
Prof. Dr. Habib Zaidi
Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland
Interests: multimodality imaging; molecular imaging; quantitative imaging; preclinical imaging; instrumentation; modeling and simulation; deep learning
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