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Mattias Ohlsson

Mattias Ohlsson

Professor

Mattias Ohlsson

Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation

Author

  • D. Medved
  • P. Nugets
  • M. Ohlsson
  • P. Hoglund
  • B. Andersson
  • J. Nilsson

Department/s

  • Robotics and Semantic Systems
  • Department of Computer Science
  • Artificial Intelligence in CardioThoracic Sciences (AICTS)
  • eSSENCE: The e-Science Collaboration
  • ELLIIT: the Linköping-Lund initiative on IT and mobile communication
  • Computational Biology and Biological Physics
  • Department of Astronomy and Theoretical Physics
  • Clinical studies in CKD
  • Division of Clinical Chemistry and Pharmacology
  • Hepato-Pancreato-Biliary Surgery
  • Surgery (Lund)
  • Thoracic Surgery
  • Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS)
  • Heart and Lung transplantation

Publishing year

2018

Language

English

Pages

171-172

Publication/Series

The Journal of Heart and Lung Transplantation

Volume

37

Issue

4 Suppl

Document type

Conference paper: abstract

Publisher

Elsevier

Topic

  • Surgery

Conference name

38th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation

Conference date

2018-04-11 - 2018-04-14

Conference place

Nice, France

Status

Published

Project

  • Lund University AI Research

Research group

  • Artificial Intelligence in CardioThoracic Sciences (AICTS)
  • Clinical studies in CKD
  • Hepato-Pancreato-Biliary Surgery
  • Artificial Intelligence and Bioinformatics in Cardiothoracic Sciences (AIBCTS)
  • Heart and Lung transplantation

ISBN/ISSN/Other

  • ISSN: 1053-2498