Editorial Board


Prof. Dr. Raimondo Schettini
Department of Informatics, Systems and Communication, University of Milano-Bicocca, viale Sarca, 336, 20126 Milano, Italy
Interests: color imaging; image and video processing; analysis and classification; visual information systems; image quality
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Advisory Board (6)

Prof. Dr. Roy Davies
Department of Physics, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK
Interests: image processing; image analysis; image segmentation; video analysis; computer vision; machine learning; deep neural networks
Prof. Dr. Longin Jan Latecki
Department of Computer Science, University of Verona, 37134 Verona, Italy
Interests: computer vision; data mining; machine learning on graphs; robot perception; digital geometry and topology
Prof. Dr. Gonzalo Pajares Martinsanz
Department Software Engineering and Artificial Intelligence, Faculty of Informatics, University Complutense of Madrid, 28040 Madrid, Spain
Interests: computer vision; image processing; pattern recognition; 3D image reconstruction; spatio-temporal image change detection and tracking; fusion and registering from imaging sensors; superresolution from low-resolution image sensors.
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Prof. Dr. Vittorio Murino
Department of Computer Science, University of Verona, Verona, Italy
Interests: computer vision; machine learning; pattern recognition
Prof. Dr. Jan Sijbers
Imec - Vision Lab, Department of Physics, University of Antwerp (CDE) Universiteitsplein 1 (N.1.13), B-2610 Antwerpen, Belgium
Interests: MRI image processing (parameter estimation, diffusion MRI, perfusion MRI); X-ray Computed tomography (discrete tomography, dynamic tomography, phase contrast CT)
Prof. Dr. Ge Wang
Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
Interests: biomedical imaging; artificial intelligence; deep learning
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Editorial Board Members (98)

Dr. Giuseppe Amato
Institute of Information Science and Technologies, Italian National Research Council (ISTI-CNR), 1 – 56124 Pisa, Italy
Interests: deep learning; multimedia information retrieval; content based image retrieval; large scale similarity search
Prof. Dr. Vijayan K. Asari
Department of Electrical and Computer Engineering, School of Engineering, University of Dayton, 300 College Park, Suite KL261B, Dayton, OH 45469-0232, USA
Interests: object detection and tracking; face recognition and human behavior analysis; wide area surveillance and security automation; brain machine interface and emotion recognition; biomedical image analysis and abnormality detection
Dr. Paul R. Barber
UCL Cancer Institute, Department of Oncology, University College London, London WC1E 6BT, UK
Interests: microscopy; image processing; medical and biomedical image analysis; fluorescence lifetime imaging
Prof. Dr. Yannick Berthoumieu
CNRS, IMS, UMR 5218, Groupe Signal et Image, University of Bordeaux, F-33405 Talence, France
Interests: computer vision; image processing; texture analysis; stochastic modeling; information theory
Prof. Dr. Nizar Bouguila
The Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC H3G 1T7, Canada
Interests: computer vision; machine learning; pattern recognition; image processing; data mining
Prof. Dr. Alice Caplier
GIPSA-lab, Grenoble Intitute of Engineering, 38402 St Martin d'Hères, France
Interests: computer vision; image processing; facial expression analysis; human behaviour interpretation; machine and deep learning; facial biometry
Prof. Dr. Elena Casiraghi
Anacleto Lab. & MIPS Lab., Computer Science Department "Giovanni degli Antoni", Università degli Studi di Milano, 20133 Milan, Italy
Interests: medical and biomedical image and signal processing; artificial intelligence; explainable artificial intelligence; digital twins; pattern recognition; data analysis; scientific visualization
Special Issues and Collections in MDPI journals
Prof. Dr. Ke Chen
Center for Mathematical Imaging Techniques and Department of Mathematical Sciences, University of Liverpool, Liverpool L3 5RF, UK
Interests: variational models for imaging; novel algorithms for nonlinear optimization; deep learning for imaging and vision; medical imaging applications
Prof. Dr. Tat-Jun Chin
School of Computer Science, The University of Adelaide, Adelaide, SA 5005, Australia
Interests: 3D sensing; processing and analysis; LiDAR data analysis; augmented reality; large scale optimization
Special Issues and Collections in MDPI journals
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