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SS-GAIMHS 2024 : Special Session on Generative AI for Medical and Healthcare System


When Jun 26, 2024 - Jun 29, 2024
Where Paris, France
Submission Deadline Mar 30, 2024
Notification Due Apr 30, 2024
Final Version Due May 15, 2024
Categories    generative ai   deep learning   health

Call For Papers

Special Session on Generative AI for Medical and Healthcare System (SS-GAIMHS 2024) in
4th Edition of IEEE International Conference on ICT Solutions for e-Health (ICTS4eHealth 2024)

Paris, France, June 26-29, 2022

in conjunction with the 29th IEEE Symposium on Computers and Communications (ISCC)

Submit your paper by using the link:

Over time, there has been increased development and interest in the use of generative AI. Even in the medical field, researchers have proposed and continue to propose the use of generative AI for various tasks. Patient records are hard to come by, medical data available to researchers are often few, unbalanced and incomplete. These types of problems can be addressed by using generative models for data augmentation. Generative AI is also the basis of modern chatbots, which can prove to be a useful support tool in the medical field. Other fields where the use of Generative AI is becoming more widespread are medical image reconstructions and enhancements, which for example can be resolution enhancement, noise reduction, occlusion removal, and more in medical images. An important issue for high-risk problems, such as the medical field, is the need to develop and use explainable AI models at the expense of black-box models; Generative AI models are not exempt from this obligation. The goal of this special session is to give researchers an opportunity to present and discuss their work proposing the use of generative AI for medical and health applications, while also providing some food for thought for future research directions.

TOPICS (but are not limited to):
- Data Augmentation with Generative Models
- Explainability and Interpretability in Generative AI
- Generative Natural Language Models for Clinical Decision Support
- Super Resolution, Colorization and Inpainting in Medical Imaging
- Reconstruction and Denoising of Medical Risonance Images (MRI) or Computed Tomography (CT)
- Generative AI for Patient Data Sharing Problems
- Image segmentation in Medical Imaging
- Weakly supervised approaches in Generative AI for Medical Systems
- Image translation and domain adaptation of Medical Imaging
- Image reconstruction from Medical instruments
- Anomaly Detection in Medical Imaging using Generative AI
- Issues and Challenges in Generative AI for Medical and Healthcare System
- Generative AI for real-world Healthcare scenarios

• Submission deadline: March 30, 2024
• Notification of paper acceptance: April 30, 2024
• Submission of camera-ready papers: May 15, 2024
• Registration: May 15, 2024

Manuscripts should describe original work and should be no more than 7 pages for full papers and 4 pages for short papers in the IEEE double-column proceedings format, including tables, figures and references.

In order to download manuscript templates for IEEE conference proceedings use the following link:

Papers can be submitted directly to EDAS:

Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted.

At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings.

The SS-GAIMHS 2024 special session is part of the main ICTS4eHealth conference, and accepted papers will be included in the proceedings of ISCC 2024, of which the ICTS4eHealth conference is a concurrent event, and will be submitted for inclusion in IEEE Xplore. The proceedings of ICTSeHealth and ISCC have been indexed in the past by ISI, DBLP, and Scopus.

A "Best Paper Award" Certificate will be conferred on the author(s) of a paper presented at the conference, selected by the Chairs based on scientific significance, originality and outstanding technical quality of the paper, as assessed also by the evaluations of the members of the Program Committee.

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