Medical Education
The Institute of Computational Neuroscience provides education of medical students in the subject of Medical Informatics (covered in lectures and seminars).
We also contribute to the following elective compulsory modules of the UKE iMED curriculum:
- "Gehirn und Geist - Faszination Neurowissenschaften"
- "Radiologische Verfahren in der Diagnostik und Therapie”
Further Courses
In line with our research topics, we contribute graduate teaching of the collaborative research center SFB 936 “Multi-site Communication in the Brain” as well as to the lecture series “Biomedical Physics” of the Physics Department of the University of Hamburg.
Available Student Research Projects
The Institute of Computational Neuroscience currently offers the following Bachelor and/or Master thesis topics:
- Biomedical Image Processing (computer science or similar):
Improved deconvolution of live cell fluorescence microscopy images - Image Processing (computer science / machine learning or similar):
Machine learning-based detection of pathologies - Processing (computer science / machine learning or similar):
Image-based learning of anatomical landmark locations
If you look for a Bachelor or Master thesis topic but are not interested in the aforementioned specific topics, you are also welcome to contact us: Dr. René Werner
Moreover, please contact Prof. Dr. C. Hilgetag or Dr. René Werner for available PhD and medical thesis research opportunities.
Past Student Projects
2017 | Automatische Segmentierung von MRT-Aufnahmen des Gehirns durch Convolutional Neural Networks D. Locke (BSc thesis Bioinformatics, Hochschule Emden/Leer) |
2017 | Metric-based artifact detection during groupies registration of spatial-temporal image sequences E. Mücke (MSc thesis Medizinische Ingenieurwissenschaft, University of Lübeck) |
2015 | Gruppenweise Registrierung zur robusten Bewegungsfeldschätzung in artefaktbehafteten 4D-CT-Bilddaten A. Tack (MSc thesis Mediziningenieurwesen, TU Hamburg-Harburg) |
2015 | Entwicklung eines Flussphantoms und einer modellbasierten adaptiven Segmentierung zur Analyse zerebraler Pulsation in 4D-MRT-Bildsequenzen D. Schetelig (MSc thesis Mediziningenieurwesen, TU Hamburg-Harburg) |
2015 | Experimentelle Verifikation von Verfahren zur Dosisakkumulation bei stereotaktischen Behandlungen von Lungen- und Lebertumoren in der Strahlentherapie T. Gauer (MSc thesis Medical Physics, TU Kaiserslautern) |
2013 | Automatische Detektion und Analyse von Bewegungsartefakten in 4D-CT-Daten E. Wulfhekel (MSc thesis Medical Informatics, Fachhochschule Stralsund) |