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    • ST1 - Ambient Assisted Living based on IoT Technologies
    • ST2 - Social data and medical data analytics
    • ST3 - Immersive Personalized Patient Engagement; Computer Based Medical Intervention Systems
    • ST4 - Computer-aided and robotic endoscopy systems
    • ST5 - Empowering Patients with Cancer through Connected Health
    • ST6 - Biomedical Imaging and Signal Processing tools for Cardiac Arrhythmias: Diagnosis, Treatment Planning and Therapy Delivery
    • ST7 - MultiModal Interfaces for Natural Human Computer Interaction: Theory and Applications
    • ST8- Biological Network Analysis in Computational Biology and Biomedicine
    • ST9 - Cloud Security and Data Privacy by Design
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Andras Hajdu
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Andras Hajdu

University of Debrecen (HU)
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András Hajdu received his MSc degree in Mathematics from the Lajos Kossuth University, Hungary, in 1996. He obtained his PhD degree in Mathematics and Computer Science from the University of Debrecen, Hungary, in 2003. He worked as a PostDoc researcher for the Artificial Intelligence Information Analysis Laboratory, Dept. of Informatics, Aristotle University of Thessaloniki in 2005-2006. From 2001 he served as Assistant Lecturer, since 2003 as Assistant Professor, and since 2008 as an Associate Professor at the University of Debrecen. From 2011, he is the head of the Department of Computer Graphics and Image Processing at the Faculty of Informatics, University of Debrecen. He is a senior member of the IEEE, member of the Janos Bolyai Mathematical Society, John von Neumann Computer Society (Hungary), Public Body of the Hungarian Academy of Sciences, and from 2015 the president of the Hungarian Association for Image Analysis and Pattern Recognition. He has authored or co-authored 37 journal papers and 103 conference papers. His main interest lies in digital image processing and discrete mathematics.

Presentations

Session Title Presentation
Exhibition & Posters I

Recognizing ureter and uterine artery in endoscopic images using a convolutional neural network

Friday, June 23, 2017 - 09:00 to 18:45
Nothing yet
Posters II

Automatic pigment network classification using a combination of classic texture descriptors and CNN features

Saturday, June 24, 2017 - 09:00 to 15:45
Nothing yet

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© 30th International Symposium on Computer-Based Medical Systems - CBMS 2017
AUTH Research Dissemination Center
June 22-24, 2017 Thessaloniki - Greece
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