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Advanced Medical Imaging Techniques Using Generative Artificial Intelligence

Submission Deadline: 01 May 2025 Submit to Special Issue

Guest Editors

Prof. Nicu Bizon, The National University of Science and Technology POLITEHNICA Bucharest, Romania
Prof. Bhargav Appasani, Kalinga Institute of Industrial Technology, India

Summary

This issue will focus on the theme of Advanced Medical Imaging Techniques using Generative Artificial Intelligence, which are reshaping medical image processing and its interpretation.


The scope encompasses various aspects, including image reconstruction, synthesis, anomaly detection, segmentation, registration, fusion, and clinical decision support systems, all empowered by generative AI techniques. By discerning intricate patterns and correlations within medical images, these advanced AI models empower early disease prediction and accurate diagnosis. Ethical considerations and challenges inherent in the integration of these techniques in medical imaging need to be studied. Authors are encouraged to submit original research articles, reviews, and perspectives contributing to the understanding and advancement of this theme. Topics of interest include, but are not limited to:

  

Topics of interest of this Special Issue include, but are not limited to:

Generative Adversarial Networks (GANs) for medical image reconstruction

Realistic medical image generation using GANs

Anomaly Detection in CT Scans using generative AI

Medical image resolution enhancement using generative AI

Multi-modal image fusion using generative AI

Automated segmentation using GANs

Autoencoders for medical image analysis

Data augmentation using generative AI

Automated Tumor Detection using GANs

Privacy-preserving image synthesis using generative AI

Transfer Learning with generative models

3D reconstruction using generative AI

Ethical considerations in using generative AI for medical image analysis


Keywords

Generative AI
Generative Adversarial Networks
Autoencoders
Artificial intelligence
Medical imaging
Diagnosis
Tumor detection
Segmentation techniques
Synthetic data augmentation
Model bias
Ethical considerations
This special issue is also a special session on the Electronics, Computers and Artificial Intelligence (ECAI'24) CONFERENCE (https://ecai.ro/ ; deadline: 2 June, 2024), where you can submit 4-6 pages and then the extended version here.

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