AI4Imaging
From September 7th to 11th the 3rd Al4Imaging Summer School invites early-career researchers to participate in an interdisciplinary training program under the theme “Artificial Intelligence Imaging,” at the interface of medical imaging and artificial intelligence.
Praktische info:
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Leertraject
The Summer School aims to support young scientists after their PhD in developing independent research ideas and preparing competitive proposals for third-party funding (e.g., DFG, FWF, or similar funding schemes). A central goal of the program is to strengthen collaboration between medicine and computer science in the rapidly evolving field of AI-driven imaging.
Scientific Focus
Artificial intelligence (AI) is playing an increasingly important role in modern medicine. Advances in imaging technologies and data science enable new approaches for the analysis and integration of complex biomedical datasets.
Topics addressed during the Summer School include:
- automated disease detection and characterization
- radiomics and quantitative imaging analysis
- multimodal data integration
- integration of imaging and text data
- dose optimization
- structured reporting
- Large Language Models & Vision Language Models in Medicine
The Summer School provides a transdisciplinary training platform for researchers from medicine, computer science, engineering, and related natural sciences. Participants will work on developing and refining their own research ideas, with the aim of transforming them into competitive project proposals.
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