Recent Trends in Medical Applications of Deep Generative Models
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 156
Special Issue Editor
Interests: Bayesian deep learning; neural stochastic processes; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are witnessing the era of AI agents that are fast approaching human-like intelligence. ChatGPT can generate human-like text and DALL-E can synthesize human-like visual material based on natural language descriptions. All of these developments have already made a significant impact on our daily routines. The underlying technology for both of these systems is deep generative models. This Special Issue welcomes the submission of original ideas about what these new technologies mean for medical technologies, what opportunities they bring to diagnostic or prognostic pipelines, and what their potential is for the AI-powered medical systems of the future. The relevant topics for the journal include, but are not limited to, the following:
- Denoising diffusion models.
- Generative flow networks.
- Evidential methods.
- Self-supervised learning.
- Computerized tomography.
- Magnetic resonance image analysis.
- Diabetic retinopathy image analysis.
- Digital pathology.
- PET image analysis.Neuroimage analysis.
Dr. Melih Kandemir
Guest Editor
Manuscript Submission Information
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Keywords
- deep generative networks
- diffusion models
- self-supervised learning
- medical imaging
- medical image synthesis
