Hypothalamus and intracranial volume segmentation at the group level by use of a Gradio-CNN framework
The developed GUI provides a powerful and accessible tool for applications in neuroimaging. The combination of the intuitive interface, accurate deep learning-based segmentation, and easy deployment via ngrok addresses the need for user-friendly tools in brain MRI analysis. This approach has the potential to streamline workflows in neuroimaging research.
Authors
- Ina Vernikouskaya (ORCID: https://orcid.org/0000-0002-4187-5685)
- Volker Rasche (ORCID: https://orcid.org/0000-0001-8844-3583)
- Jan Kassubek (ORCID: https://orcid.org/0000-0002-7106-9270)
- Hans‐Peter Müller (ORCID: https://orcid.org/0000-0001-5706-9381)
Institutions
- Universität Ulm (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-06-06
- DOI
- https://doi.org/10.1007/s11548-025-03438-6
- Citations
- 1
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung
- Universität Ulm