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  4. Clinical Image-Based Procedures. 11th Workshop, CLIP 2022. Proceedings
 
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2023
Conference Proceeding
Title

Clinical Image-Based Procedures. 11th Workshop, CLIP 2022. Proceedings

Title Supplement
Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022
Abstract
This book constitutes the proceedings of the 11th Workshop on Clinical Image-Based Procedures, CLIP 2022, which was held in conjunction with MICCAI 2022, in Singapore in September 2022.
The 9 full papers included in this book were carefully reviewed and selected from 12 submissions. They focus on the applicability of basic research methods in the clinical practice by creating holistic patient models as an important step towards personalized healthcare.
Editor(s)
Chen, Yufei
Tongji University, Shanghai  
Linguraru, Marius George
Children's National Hospital, Washington
Raj, Shekhar
Children’s National Health System, Washington
Wesarg, Stefan  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Erdt, Marius  
Fraunhofer Singapore  
Drechsler, Klaus
Aachen University of Applied Sciences
Oyarzun Laura, Cristina  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Publisher
Springer Nature  
Conference
International Workshop on Clinical Image-Based Procedures 2022  
International Conference on Medical Image Computing and Computer Assisted Intervention 2022  
DOI
10.1007/978-3-031-23179-7
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Fraunhofer Singapore  
Keyword(s)
  • Branche: Healthcare

  • Research Line: Computer graphics (CG)

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Research Line: (Interactive) simulation (SIM)

  • Research Line: Modeling (MOD)

  • Research Line: Machine learning (ML)

  • LTA: Interactive decision-making support and assistance systems

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • LTA: Generation, capture, processing, and output of images and 3D models

  • Medical imaging

  • Patient models

  • Health care

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