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Revision as of 20:30, 14 June 2018

Track

Medical Informatics


Track Chairs

Dr. A. D. Duru
İstanbul University

Dr. H. Akpınar
Marmara University

Call for Papers

Advancements in the Medical Imaging (MI) technology provide relevant information about the anatomy as well as the functionality of the human body. The use of MI support both the clinicians and researchers in the diagnosis and treatment plans for several diseases. The huge amount of MI dataset is investigated based on various algorithms in order to extract the hidden relevant information.

The goal of this track is to bring together, a multi-disciplinary group of scientists and engineers from all over the world to present and exchange the ideas relating to the data analysis in MI. The main topics to be addressed in this track are Computer-aided detection/diagnosis and Machine Learning in MI.

Moreover, researchers are encouraged to submit papers related with MI processing.

Dr. Adil Deniz Duru, İstanbul University

oberer@sakarya.edu.tr


Biography of the Chairs

Adil Deniz Duru was born in Istanbul in 1979. He received the B.Sc. degree in computer engineering from Istanbul University, Turkey, in 2000, and the M.Sc. and Ph.D. degrees in biomedical engineering from the Institute of Biomedical Engineering, Bogazici University, Turkey, in 2004 and 2012, respectively. He was the recipient of Prof. Dr. Necmi Tanyolaç Award of Bogazici University in 2012. He worked as a Post-Doc researcher in Hulusi Behcet Life Sciences Center in Istanbul University. In 2013, he joined the Faculty of Sport Sciences in Marmara University as an Assistant Professor. His current research interests include biomedical signal processing, algorithm design and implementation and data mining in medicine. He has published 6 journal articles (SCI(E)) and more than 30 full page international conference paper.

Key Topics

We welcome papers related to the following topics (but not limited to):

  • Perspectives and challenges associated with digital transformation
  • Digital skills in the information society
  • The social impact of digital transformation
  • New roles of citizens in digital transformation
  • Quantitative, qualitative and hybrid methods applied to assess digital transformation
  • Adoption of systems and technologies
  • Assessing new practices and technologies in education
  • Case studies
  • eLearning and digital transformation
  • Digital transformation for production and service sector
  • Digital transformation for logistic
  • Digital transformation for medical