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Georg Rose, received his Ph.D. in Statistical Physics from the University of Düsseldorf, Germany for his work in the area of field theory and mean-field approximation.
As a post-doc in the Department for Neurology he has been working on brain research, modeling the behavior of cultured hippocampal neuron-networks. A second focus was development of strategies for stroke management. In 1995 he moved to industrial research, becoming member of the Philips Research Laboratories in Aachen, Germany - working in the area of tomographic and functional imaging. He also continued his work on stroke management focusing on clinical decision support systems and telemedicine applications. He managed several industrial projects, partially distributed over three continents.
Since  2006 he is Full Professor and chair for Healthcare Telematics & Medical Engineering at the Otto-von-Guericke-University in Magdeburg, Germany. The main research areas are: medical imaging, especially for interventions, medical electronics, brain-machine-interfaces.
In 2012, together with three colleagues, he received the Otto-von-Guericke Research Award for his successful research and the development of the medical engineering focus at the university.
Together with his colleagues, he was in charge of raising research funding of in total around 70 million euros.
Prof. Rose has been an elected senator of the faculty since 2016 and an elected inter-faculty senator of the university since 2020

Ziel:

• Optimierung von bildgeführten minimalinvasiven Operationen für Krebs- und Gefäßerkrankungen (insbes. Schlaganfall)
• Bereitstellung von Technologien für bildgeführte Operationen
• Telemedizin
• Transfer

Themen:

• Computertomographie (CT, CBCT, C-Arm CT), insbesondere im Operationsraum
• Rekonstruktion (FBP, iterative Verfahren, statistische Verfahren, effiziente Implementierung)
• Modellbasierte Perfusion (CT, CBCT, C-Arm CT)
• PET-Bildgebung
• Artefaktkompensation (Bewegung, Beam-Hardening, Metallartefakte, Streustrahlung)
• Bildverarbeitung (Objektlokalisierung, Segmentierung, Registrierung)
• Roboterassistenz im Operationsraum
• Instrumente für  bildgeführten minimalinvasiven Operationen
• Brain-Machine-Interfaces (Klassifikation des MEG, ECoG-Signale, HMM-basierend)
• Telemedizin
• Studium und Lehre:
• Aufbau (2007), Studiengangskoordination: Master „Medical Systems Engineering“
• Bachelor (2015), Studiengangskoordination: Bachelor „Medizintechnik“
• Aufbau 2016, Mitwirkung in Kooperation mit der LIAM GmbH: Weiterbildungsprogramm für die Industrie „Medizinische Bildgebung kompakt“

Beratung, Gutachten und Projekte zu folgenden Themen:

• Bildgebende Systeme in der Medizin
• Bildgeführte Operationstechniken
• Röntgenbildgebung
• Computertomographie (CT, CBCT, C-Arm CT),
• Rekonstruktion (CT: FBP, iterative, statistische; PET/SPECT)
• Trainings, Experimente und Messungen im Angiographielabor (Siemens Zeego)
• Trainings, Experimente und Messungen am interventionellen 3T MRT (Siemens Skyra)
• Telemedizin in der klinischen Schlaganfallversorgung
• Telemedizin im Krankenwagen