Special Session Introduction

Medical images show different characteristics per the target organs and suspected abnormalities. The general 3D modalities used for medical imaging include Computed Tomography (CT), Positron Emission Tomography (PET), and Magnetic Resonance Imaging (MRI). Recently, we have witnessed a rapid increase in the use of deep learning models to process, evaluate and analyze 3D medical imaging data, owing to the great improvement in efficiency and effectiveness of 3D Convolutional Neural Networks (CNNs) as compared to traditional hand-crafted methods.

Image quality assessment (IQA) has wide applicability in many fields and there is an increasing demand for efficient and reliable quality assessment. In addition, deep learning models have demonstrated superior performance on many standard object recognition benchmarks which coincides with the needs of medical image processing. Therefore, IQA in medical image processing has become an interesting research field and a large number of new IQA algorithms emerge every year. It is worth noting that 3D medical images better reflecting diagnostic results are screened out with little problem by inserting quality assessment between processing and analysis, which improves final analysis efficiency and accuracy. This special session will focus on the latest advances in 3D technology and its application in medical image processing, medical image enhancement, image stitching, and quality evaluation. We will discuss how 3D technology can be used to improve the quality, diagnosis and analysis, as well as how to properly evaluate the image/processing quality. We will also explore the challenges associated with the implementation of 3D medical imaging, and the various techniques for optimizing and improving performance. Furthermore, we will discuss the potential for real-time analysis of medical images and how machine-learning approaches can be employed to accelerate such processes. Finally, we will discuss the potential applications of 3D technology in other areas. The workshop aims to cover, but not be limited to, the following topics:

  • 3D Medcial Image Reconstruction
  • 3D Imaging Visualization
  • 3D medical image quality evaluation
  • 3D medical image enhancement
  • 3D medical image registration
  • Multi-modal learning across 3D modalities

Special Session Organization

  • Xiaohong Liu, Shanghai Jiaotong University, China
  • Tao Tan, Macao Polytechnic University, China
  • Menghan Hu, East China Normal University, China

Submission Guidelines

The accepted papers will be included either in the CGI conference Proceedings published by LNCS, Springer, or in the VRIH journal (Virtual Reality and Intelligent Hardware journal published by Science Press).

Note that for ALL submissions, the review process is double blind, which requires the paper and all supplemental materials to be anonymous. Ensure that self-referencing is anonymous (refer to your full name rather than “I” or “we”). Avoid providing information that may identify the authors in the acknowledgements (e.g. co-workers and grant IDs) and in the supplemental material (e.g. titles in the movies, or attached papers). Avoid providing links to websites that identify the authors. Violation of any of these guidelines will lead to rejection without review.

Submission format

  • For all papers calls, please submit 8-12 pages.
  • A template for the full paper submission is available at Microsoft Word and Latex.
  • Papers should be submitted in PDF format. This PDF paper should NOT contain any name or affiliation (blind paper).
  • You may include videos in MP4, WMV and AVI format. For multiple videos, please use zip file. Please note that there is a maximum file size of 40 MB per submission.
  • IMPORTANT: Please indicate your preference in the right track in EasyChair.
  • Chairs will make the final decision on which paper goes in the LNCS or VRIH.

Important Dates

  • Submission Deadline: 12 June (extented to 19 June) 2023 , GMT 23:59
  • Notification of Paper Decisions: 13 July (extented to 20 July) 2023
  • Camera-Ready for Special Session: 5 August 2023
  • Special Session Dates: 28 August to 1 September 2023
Submit your paper via EasyChair

Registration:

Accepted papers must be registered by at least one author as FULL CONFERENCE (one registration covers one paper)

Special Session Contact