In our research projects we develop, extend and adapt methods from robotics and navigation, search and optimization, machine learning, and signal and image processing to realize systems and system components for clinical applications ranging from tissue characterization to radiosurgical treatments.
Research Overview
Research Topics
Research Projects
Our typical research projects involve clinical, academic, and industrial partners. We thankfully aknowlegde funding from a number of sources, including DFG, AiF, IFB, TUHH, and industry. Please feel free to contact 
Alexander Schlaefer (schlaefertuhh.de) if you would like to discuss a potential collaboration.
Selected Projects
i3m4: Model Guided Machine Learning for Simulating Soft Tissue Materials in Medicine (TUHH, running)
LUMEN: Analysis and optimization of network architectures for learning-based localization of lesions in the lung
MALEKA: Maschinelle Lernverfahren für die kardiovaskuläre Bildgebung (IFB, running)
DeepLearning MS: Lernbasierte Lösung zur vollautomatischen Bestimmung von Läsionsaktivität auf 3DMagnetresonanztomografie-Bildern von Patienten mit multipler Sklerose. (IFB, running)
FASOD: Fortschrittliche Algorithmen für die EEG Aufnahme mit Trockenhauben (AiF, running)
NAVINAD: Mechatronisch geführte Mikronavigation von Nadeln in Weichgewebe (DFG, running)
ROBUST: Robotic image guidance for real-time motion compensated radiation therapy (DFG, running)
TaTRiS - Taktiler TMS-Roboter mit innovativer Sensorik (AiF, finished)
Ca-Signale, Räumlich und zeitlich hochaufgelöste Analyse subzellulärer Calcium-Signale (Forschungszentrum Medizintechnik Hamburg, finished)
Acknowledgements
We gratefully acknowledge partial funding by:
for LUMEN
for MALEKA