Section Computational Neuroimaging
Our section Computational Neuroimaging is dedicated to researching and applying cutting-edge Artificial Intelligence (AI) in translational neuroradiology. We develop and use innovative technologies in the domains of Machine Learning and Deep Learning. Our goal is to further develop and improve the diagnostic capabilities and therapeutic approaches in neurological imaging through targeted scientific advances using AI.
Our main research focus is:
- Automated multimodal image analysis: Development and application of complex algorithms, such as state-of-the-art Neural Network structures, for precise and automatic segmentation of various CNS pathologies, including tumors, strokes, and multiple sclerosis.
- Precision Medicine – Prediction using Explainable AI: We develop transparent AI models with the potential to accurately predict clinically unpredictable endpoints. We combine the strengths of innovative AI algorithms with human judgment, with a particular focus on understandable and transparent AI models to ensure direct, safe, and trustworthy use in clinical practice. This enables us to effectively combine the benefits of AI with human expertise, having a direct positive impact on patient care.
- Latest technology development: Implementation of the latest Deep Learning methods to improve image quality and diagnostic accuracy in various imaging modalities (CT, MRI).
- Integration of image analysis and Large Language Models (LLM): We develop generative AI models capable of interpreting medical images into language. These models combine advanced image analysis with Large Language Models, such as GPT4o, to ensure seamless integration into the clinical workflow and improve diagnostic collaboration.
What Unites Us – Our Mission Statement:
We are a dynamic, interdisciplinary team of young scientists and physicians with a passion for innovation and technology in the field of precision medicine. By combining clinical expertise in neuroradiology, neurology, and neurosurgery with cutting-edge informatics and AI, we develop advanced solutions to continuously improve the diagnosis and treatment of a wide range of neurological diseases – including brain tumors, strokes, and neurodegenerative disorders.
Contact:
Do you have questions or would you like to learn more about our work? Feel free to contact us (email: marianne.schell@med.uni-heidelberg.de). We look forward to engaging and collaborating with interested partners from science, medicine, and industry.
- We are hiring! -
We are looking for motivated Post-Doctoral and Doctoral Candidates (PhD/MD) to join our team. If you are interested in the intersection of clinical work, AI, and neuroimaging and wish to work in an innovative and supportive work environment, we would be thrilled to receive your application!
