Submission Deadline: 01 May 2025 View: 217 Submit to Special Issue
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