Special Session 2

AI applications in Medical Imaging

This special session is organised and supported by  the following educational partner

University of Sharjah, UAE

Session Chair:

  • Prof. Dr. Bashar Afif Issa (Head of Department of the MDI, UOS)

Session Co-Chairs:

  • Prof. Dr. Hissam Mouayad Tawfik

  • Prof. Dr. Abir Jaafar Hussain


AI applications in Medical Imaging consist advanced tools and techniques to assist healthcare professionals in diagnosis, treatment planning, and patient care. AI has made significant contributions to the field of medical imaging, enhancing diagnostic accuracy, efficiency, and overall patient care.


Contributions to this special session will cover a range of topics related to applied AI in industrial applications, including but not limited to:

  • Interpretation and Diagnosis
  • Real Time Image Analysis
  • Radiomics
  • Disease Classification and Diagnosis
  • Computer-Aided Detection (CAD) and Diagnosis
  • Segmentation and Quantification
  • Image Enhancement and Reconstruction
  • Personalized Treatment Planning
  • Scan Parameter Optimization
  • Computer Vision
  • Image Fusion
  • Image-Guided Interventions

Original research articles, review articles, and case studies are welcomed that address the practical challenges of implementing AI in medical imaging, as well as the benefits and outcomes of the current directions. Submissions should present novel contributions that demonstrate the potential of AI to transform industrial processes and systems and should provide insights and recommendations for future research and development.

Paper Submission:

Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.