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Special Session on Advances in Medical Imaging and Image Processing

Medical imaging continues to play a pivotal role in modern healthcare by enabling non-invasive visualization of anatomical structures and physiological processes. Recent advancements in imaging modalities such as ultrasound, radiography, computed tomography, nuclear medicine, magnetic resonance imaging, and photoacoustic imaging have opened new avenues for precise diagnosis, treatment planning, and disease monitoring.

This special session aims to bring together researchers and practitioners to present innovative approaches in medical imaging, medical image processing, analysis, and computing. The session covers a wide range of topics that span from fundamental image formation to advanced computational methods, including but not limited to machine learning, deep learning, and physics-informed models. We are particularly interested in interdisciplinary solutions that bridge imaging physics, signal processing, computer vision, and clinical applications.

Topics of interest include, but are not limited to:

  • Medical image reconstruction methods
  • Medical image processing techniques including denoising, enhancement, and artifact reduction
  • Physics-based and hybrid computational medical imaging techniques
  • Medical image segmentation, registration, and classification
  • Multi-modal and multi-scale medical image analysis
  • Real-time and low-latency medical image processing systems
  • Deep learning and classical computer vision approaches for medical images
  • Generative models and synthetic data generation for medical images
  • Quantum computing for medical images

Organizing Committee:

  • Lawrence H Le, PhD (Radiology and Diagnostic Imaging, University of Alberta, Canada) – Chair
  • Dean Ta, PhD (College of Biomedical Engineering, Fudan University, China) – Co-Chair
  • Edmond Lou, PhD (Electrical and Computer Engineering, University of Alberta, Canada) 
  • Rui Zheng, PhD (School of Information science and technology, ShanghaiTech University, China)
  • Kim-Cuong T Nguyen, PhD (Radiology and Diagnostic Imaging, University of Alberta, Canada)

Submission Guidelines:

Submissions should adhere to the IEEE's formatting guidelines and be submitted through the conference's submission system. Full papers must be original, unpublished, and not currently under review by another conference or journal. Detailed submission instructions, including format templates and submission portal information, can be found on the conference website at https://www.ieee-icce.org/p/submission.

Paper Submission Deadline: 

The deadlines are the same as that of ICCE 2026. 

Submission Link:

https://edas.info/newPaper.php?c=34278&track=134690

Contact information:

For further information or inquiries about Special session on Medical Imaging and Image Processing, please contact the special session chairs:

Dr. Lawrence H Le (lawrence.le@ualberta.ca), Dr. Dean Ta (tda@fudan.edu.cn), or Secretariat of ICCE 2026 (secretariat@ieee-icce.org) for general matters.