International Workshop on Computer-Aided Diagnosis for Biomedical Applications


Nowadays there is a substantial increase of digital medical data acquired through advanced biosignal and medical imaging devices, requiring the development of new techniques often based on artificial intelligence to analyse these data.

This workshop aims to provide an overview of recent advances in the field of Computer-Aided Diagnosis Systems for Biomedical Applications, covering all the medical signal/image processing workflow, from signal/image acquisition to classification, including disease detection, prediction, and classification.

Topics for the workshop include, but are not limited to:

  • Computer-aided Detection and Diagnosis Systems
  • Medical Image Analysis and Signal Processing
  • Machine Learning and Artificial Intelligence
  • Segmentation, Classification
  • Signal/Image Registration Techniques
  • Multimodality Fusion
  • Feature Extraction
  • Signal/Image Acquisition Methods and Devices
  • Activity Monitoring
  • Uncertainty and Interpretability

Workshop Chair

Stéphanie Bricq, ImViA, Université de Bourgogne, France

Program Committee

  • Ragheed Allami, University of Technology, Iraq
  • Anu Shaju Areeckal, Manipal Institute of Technology, India
  • Yannick Benezeth, Université de Bourgogne, France
  • Jorge Bojorquez, University of California, USA
  • Sumam David S, National Institute of Technology Karnataka, India
  • Pritee Khanna, PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, India
  • Sarah Leclerc, Université de Bourgogne, France
  • Christian Mata, Universitat Polytecnica de Catalunya, Spain
  • Fabien Millioz, Université de Lyon 1, France
  • Arnau Oliver, Universitat de Girona, Spain
  • Massimo Rivolta, Università degli Studi di Milano, Italy
  • Ivo Wolf, University of Applied Sciences Mannheim, Germany
  • Thaweesak Yingthawornsuk, King Mongkut’s University of Technology Thonburi, Thailand