As part of the research campus STIMULATE (opens in a new window), we develop solutions for image-guided medicine. Below you will find our current research projects, newest first, followed by our completed projects, most recently ended first.
Current projects
AMIR
AR-assisted control of intelligent medical robots in interventional radiology
Investigates augmented-reality interfaces that let clinicians safely monitor and collaborate with (semi-)autonomous medical robots in interventional radiology, aiming at a first research prototype of such a human–robot ecosystem.
- Duration
- 01/2026 – 12/2028
- Funding
- EU (opens in a new window) + state funding
- Principal investigators
- Prof. Dr. Fabian Joeres; Prof. Dr. Christian Hansen
Project partners
Related publications
Just the Tip of the Trajectory? An End-Effector Path Preview vs Full-Arm Visualization for Approving Robot Motions in Mixed RealityK Olszynska, C Liebsch, R Klank et al.IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2026
Details on AMIR in the research portal (opens in a new window)
KIRAL
AI-assisted resection planning and adaptation in liver surgery after neoadjuvant therapy
Supports liver surgery with AI that predicts the response to neoadjuvant therapy and updates the resection plan during surgery using intraoperative ultrasound, shown in augmented reality and controlled by voice and gestures.
- Duration
- 11/2025 – 10/2028
- Principal investigators
- Dr. Florian Heinrich; Prof. Dr. Sylvia Saalfeld (opens in a new window); PD Dr. Florentine Huettl (opens in a new window); Prof. Dr. Christian Hansen
- Project staff
- Theresa Maienschein, M.Sc.; Irina Shutova, M.A.; Dr. Florian Heinrich
Project partners
- University Hospital Schleswig-Holstein (opens in a new window)
- University Medical Center Mainz (opens in a new window)
- 3DQR GmbH (opens in a new window)
- Genie Enterprise Deutschland GmbH (opens in a new window)
- STIMULATE (opens in a new window)
Related publications
HoloNote: Exploring Augmented Reality Notifications for Ergonomic Feedback in Laparoscopic Training (opens in a new window)F Heinrich, T Mielke, R Klank et al.Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA), 2026
Details on KIRAL in the research portal (opens in a new window)
STIMULATE III – iCT
Image-guided minimally invasive therapies for tumours, venous disease and bile duct strictures
Develops minimally invasive, image-guided therapies for clinical use, combining interventional MRI and CT with AI-based imaging, robotic assistance and training environments.
- Duration
- 10/2025 – 09/2029
- Principal investigators
- Prof. Dr. Georg Rose (opens in a new window); Prof. Dr. Christian Hansen
- Project staff
- Max Steiger, M.Sc.
Project partners
- Hannover Medical School (MHH) (opens in a new window)
- BEC GmbH (opens in a new window)
- Siemens Healthineers (opens in a new window)
- STIMULATE (opens in a new window)
Related publications
Dynamic Uncertainty-Level Assessment Framework for Real-Time Needle Tracking in CT-Guided Surgical Environments (opens in a new window)M Steiger, M Rezapourian, M Rak et al.International Journal of Computer Assisted Radiology and Surgery, 2026
Show 2 more publications
Real-Time Marker-Less Needle Tracking for CT-Guided Interventions using Multiple RGB Cameras (opens in a new window)M Steiger, T Mielke, O Bashkanov et al.International Journal of Computer Assisted Radiology and Surgery, 2026
Exploring Augmented Reality Visualizations for Communicating Robot Intent in Robotic Ultrasound (opens in a new window)J Schreiter, M Tan, R Klank et al.IEEE Conference on Virtual Reality and 3D User Interfaces (VRW), 2026
Details on STIMULATE III – iCT in the research portal (opens in a new window)
LISA
AI-based web platform for live translation and speech analysis
Builds an AI-based real-time translation pipeline (speech-to-text-to-speech) and integrates it into an existing web platform.
- Duration
- 03/2025 – 12/2027
- Funding
- EU (opens in a new window) + state funding
- Principal investigators
- Dr. Alfredo Illanes; Prof. Dr. Christian Hansen
Project partners
Details on LISA in the research portal (opens in a new window)
PELKI
Platform for creating AR/VR learning scenarios with generative AI
Uses generative AI to create AR/VR training scenarios automatically from trainer input, and compares AI-supported scene generation with classical authoring.
- Duration
- 03/2025 – 12/2027
- Funding
- EU (opens in a new window) + state funding
- Principal investigators
- Dr. Danny Schott; Prof. Dr. Christian Hansen
- Project staff
- Aqsa Sabir, M.Sc.; Aurelia Föllner, M.Sc.
Project partners
Related publications
Evaluation of a State-Aware Conversational AI Agent for Immersive Anatomy Education (opens in a new window)A Sabir, E Ringler, J Mandel et al.IEEE Conference on Virtual Reality and 3D User Interfaces (VRW), 2026
Details on PELKI in the research portal (opens in a new window)
PEACOCC
Patient-specific visualization for the perioperative optimization of oncological surgery of perihilar cholangiocarcinoma
Improves the surgical treatment of perihilar cholangiocarcinoma with photon-counting CT imaging, AI-based planning support, and VR/AR combined with 3D printing for intraoperative orientation.
- Duration
- 01/2025 – 12/2027
- Principal investigators
- Prof. Dr. Bernhard Preim (opens in a new window); Prof. Dr. Tobias Huber (opens in a new window); Prof. Dr. Christian Hansen
- Project staff
- Ziyao He, M.Sc.
Project partners
- University Medical Center Mainz (opens in a new window)
- University Hospital Schleswig-Holstein (opens in a new window)
- STIMULATE (opens in a new window)
Details on PEACOCC in the research portal (opens in a new window)
hARPyie
Hybrid AR framework for projection analysis and interactive error correction
Investigates an AR headset application that highlights projection errors on curved surfaces and guides users through gesture-based corrections, with optional remote support.
- Duration
- 01/2025 – 12/2027
- Funding
- EU (opens in a new window) + state funding
- Principal investigators
- Dr. Florian Heinrich; Prof. Dr. Christian Hansen
- Project staff
- Alexander Schwadtke, M.Sc.
Project partners
Details on hARPyie in the research portal (opens in a new window)
FlexTube
VR framework for training with flexible tubular structures
Investigates a VR framework for training the handling of flexible tubular structures such as cables, vessels and surgical sutures, evaluated in automotive and medical training scenarios.
- Duration
- 01/2025 – 12/2027
- Funding
- EU (opens in a new window) + state funding
- Principal investigators
- Dr. Danny Schott; Prof. Dr. Christian Hansen
- Project staff
- Wilhelm Herbrich, M.Sc.
Project partners
- LIVINGSOLIDS (opens in a new window)
- LS Software & Engineering GmbH
- STIMULATE (opens in a new window)
Related publications
The Influence of Environmental Fidelity on Virtual Presence, Intrinsic Motivation, Cognitive Load and Learning Outcomes in Medical VR (opens in a new window)D Schott, M Kunz, C Schrader et al.IEEE Transactions on Visualization and Computer Graphics, 2026
Show 2 more publications
Embryonic Heart Development as an Immersive Experience: Unveiling Learning Effects and Influential Factors in Virtual Learning Environments (opens in a new window)M Kunz, D Schott, T Wunderling et al.Comput. Biol. Med., 2025
Too Heart to Handle? Exploring Self-Directed And Collaborative Virtual Learning Environments in Anatomy Education. (opens in a new window)D Schott, M Kunz, A Albrecht et al.EuroVis 2025 - Dirk Bartz Prize, 2025
Details on FlexTube in the research portal (opens in a new window)
RehaFLOOR
Projection-coupled pressure-sensing floor for gait analysis and rehabilitation
Investigates a low-cost system that combines multi-channel projection with a modular, large-area pressure-sensing floor for gait analysis and rehabilitation, e.g. after stroke, accident or amputation.
- Duration
- 01/2025 – 12/2027
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
- Project staff
- Josefine Schreiter, M.Sc.
Project partners
Details on RehaFLOOR in the research portal (opens in a new window)
IDLE
XR technologies for involving users in early development phases of medical devices
Investigates contactless, textile-based gesture control for medical devices and examines, in virtual prototypes, how XR can involve users in early device development.
- Duration
- 05/2024 – 04/2027
- Principal investigators
- Prof. Dr. Fabian Joeres; Prof. Dr. Christian Hansen
- Project staff
- Robert Klank, M.A.
Project partners
- Hannover Medical School (opens in a new window)
- ITP GmbH Jena (opens in a new window)
- GJB Datentechnik GmbH (opens in a new window)
- STIMULATE (opens in a new window)
Related publications
Testing before Building? Strengths and Weaknesses of VR-Based Usability Testing of a Gesture InterfaceR Klank, F Heinrich, D Schott et al.ACM Symposium on Virtual Reality Software and Technology (VRST), 2026
Details on IDLE in the research portal (opens in a new window)
Completed projects
T!Raum transPORT – transDIGITAL (opens in a new window)
Digital twin for the transfer space transPORT
Builds a digital twin of the Magdeburg science port that visualises buildings, infrastructure and district processes, first as a platform for exchange and communication and later with public feedback and participation.
- Duration
- 11/2023 – 10/2026
- Principal investigators
- Prof. Dr. Georg Rose (opens in a new window); Prof. Dr. Christian Hansen
- Project staff
- Wilhelm Herbrich, M.Sc.; Philipp Zittlau, B.Sc.
Project partners
Related publications
Spatial Hyperlinking for Novices: Portal-Based Navigation of Multi-Room Volumetric Captures (opens in a new window)W Herbrich, T Jiang, A Föllner et al.Proceedings of the 31st ACM International Conference on 3D Web Technology (Web3D '26), 2026
Show 1 more publication
Prototype Development of a Cross-Reality Digital Twin Ecosystem: The Web, Open Source and Open Data (opens in a new window)W Herbrich, P Zittlau, F Joeres et al.2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025
Details on T!Raum transPORT – transDIGITAL in the research portal (opens in a new window)
MAINTAIN (opens in a new window)
Multi-applicator assistance system for interventional pancreatic cancer treatment with placement-error compensation
Develops hardware and software for a multi-applicator assistance system that supports precise applicator placement in CT-guided pancreatic cancer interventions, detects placement errors and suggests compensating adjustments.
- Duration
- 01/2024 – 06/2026
- Principal investigators
- Prof. Dr. Fabian Joeres; Prof. Dr. Christian Hansen
Project partners
- CAScination Deutschland GmbH (opens in a new window)
- Fraunhofer MEVIS (opens in a new window)
- STIMULATE (opens in a new window)
Related publications
The Necessity of Parallel Needle Placement for Tumor Ablation using Irreversible Electroporation: A Myth? (opens in a new window)F Joeres, T Paetz, C Hansen et al.CARS 2025—Computer Assisted Radiology and Surgery Proceedings of the 39th International Congress and Exhibition Berlin, Germany, June 17–20, 2025, 2025
Details on MAINTAIN in the research portal (opens in a new window)
MUTAR (opens in a new window)
Multi-user training in augmented reality
Develops a multi-user augmented-reality framework in which several users share and manipulate virtual content across head-mounted displays, tablets and smartphones.
- Duration
- 07/2023 – 12/2025
- Principal investigators
- Dr. Florian Heinrich; Prof. Dr. Christian Hansen
- Project staff
- Lovis Schwenderling, M.Sc.
Project partners
Related publications
Show me what to do: Evaluation of display parameters for demonstration of hand movements in augmented medical examination trainingL Schwenderling, F Heinrich, C HansenIEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2026
Show 6 more publications
Augmented Reality Training of Attention Allocation in Medical Dual-Task Learning ApplicationsL Schwenderling, M Schotte, F Joeres et al.The ACM International Conference on Mobile Human-Computer Interaction 2026 (MobileHCI 2026), 2026
Toward Structured Abdominal Examination Training using Augmented Reality (opens in a new window)L Schwenderling, L Hanke, U Holst et al.International Journal of Computer Assisted Radiology and Surgery, 2025
Do You See What I See? Evaluating Relative Depth Judgments Between Real and Virtual Projections (opens in a new window)F Heinrich, D Schott, L Schwenderling et al.Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025
Teach Me Where to Look: Dual-Task Attention Training in Augmented Reality (opens in a new window)L Schwenderling, M Schotte, F Joeres et al.Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025
A Novel Framework for Hand Visualization in Web-Based Collaborative XR (opens in a new window)L Schwenderling, W Herbrich, F Joeres et al.2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2024
Activation Modes for Gesture-Based Interaction with a Magic Lens in AR Anatomy Visualisation (opens in a new window)L Schwenderling, A Kleinau, W Herbrich et al.Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2023
Details on MUTAR in the research portal (opens in a new window)
STIMULATE II – iCT (opens in a new window)
Works towards interventional CT as a curative treatment for lung and liver tumours, developing instrument tracking for automatic image following, a lightweight robot-guided ultrasound probe, a dedicated patient table and dose-reducing imaging protocols.
- Duration
- 10/2020 – 09/2025
- Principal investigators
- Prof. Dr. Georg Rose (opens in a new window); Prof. Dr. Christian Hansen
- Project staff
- Josefine Schreiter, M.Sc.; Max Steiger, M.Sc.
Project partners
Related publications
- Dynamic Uncertainty-Level Assessment Framework for Real-Time Needle Tracking in CT-Guided Surgical Environments (opens in a new window)M Steiger, M Rezapourian, M Rak et al.International Journal of Computer Assisted Radiology and Surgery, 2026
Show 7 more publications
- Real-Time Marker-Less Needle Tracking for CT-Guided Interventions using Multiple RGB Cameras (opens in a new window)M Steiger, T Mielke, O Bashkanov et al.International Journal of Computer Assisted Radiology and Surgery, 2026
- Exploring Augmented Reality Visualizations for Communicating Robot Intent in Robotic Ultrasound (opens in a new window)J Schreiter, M Tan, R Klank et al.IEEE Conference on Virtual Reality and 3D User Interfaces (VRW), 2026
From Registration to Evaluation: Towards Efficient Human-Robot Interaction (opens in a new window)T Mielke2025
Mixed Reality Assistance for Needle Insertion under Ultrasound Imaging: A Pilot Study (opens in a new window)J Schreiter, P Pandi, R Klank et al.Current Directions in Biomedical Engineering, 2025
Deep Learning-Based Marker-Less Pose Estimation of Interventional Tools using Surrogate Keypoints (opens in a new window)G Gulamhussene, J Spiegel, A Das et al.Bildverarbeitung für die Medizin 2023, 2023
Needle Tip Tracking During CT-Guided Interventions using Fuzzy Segmentation (opens in a new window)G Gulamhussene, A Das, J Spiegel et al.Bildverarbeitung für die Medizin 2023, 2023
Application Potential of Robot-Guided Ultrasound During CT-Guided Interventions (opens in a new window)J Schreiter, F Joeres, C March et al.Simplifying Medical Ultrasound, 2021
Details on STIMULATE II – iCT in the research portal (opens in a new window)
OnSXale (opens in a new window)
Display and interaction methods in distributed XR learning environments
Designs and evaluates collaborative VR learning environments for vocational craft training, investigating minimally skeuomorphic, didactically effective content presentation and methods for distributed collaborative task work.
- Duration
- 09/2022 – 02/2025
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Related publications
Details on OnSXale in the research portal (opens in a new window)
ProLeARn (opens in a new window)
Hardware-independent augmented reality environment (ARPSL)
Develops a low-cost projector-based AR system for school lessons that gives several learners simultaneous access to virtual content without individual headsets, investigating projection geometries and algorithms for display and interaction.
- Duration
- 06/2022 – 12/2024
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Details on ProLeARn in the research portal (opens in a new window)
Web-KI Prostate (opens in a new window)
AI-based prediction algorithms for prostate diseases
Develops and evaluates a web-based AI application that flags suspicious prostate tissue and estimates disease likelihood, to improve diagnosis and reduce unnecessary biopsies.
- Duration
- 04/2022 – 12/2024
- Principal investigator
- Prof. Dr. Christian Hansen
- Project staff
- Dr. Oleksii Bashkanov
Project partners
Related publications
- Multimodal Deep Learning for Enhanced Prostate Cancer Diagnosis and Grading (opens in a new window)O Bashkanov2025
Show 4 more publications
Multimodal Data Fusion with Irregular PSA Kinetics for Automated Prostate Cancer Grading (opens in a new window)O Bashkanov, L Engelage, N Behnel et al.Computerized Medical Imaging and Graphics, 2025
Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model (opens in a new window)O Bashkanov, M Rak, L Engelage et al.Deep Generative Models, 2025
Automatic Patient-Level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data (opens in a new window)O Bashkanov, M Rak, L Engelage et al.Medical Imaging with Deep Learning, 2024
Automatic Detection of Prostate Cancer Grades and Chronic Prostatitis in Biparametric MRI (opens in a new window)O Bashkanov, M Rak, A Meyer et al.Computer Methods and Programs in Biomedicine, 2023
Details on Web-KI Prostate in the research portal (opens in a new window)
MultiMersive (opens in a new window)
Extended interaction with virtual content (InterActVR)
Develops and evaluates a software framework that lets medical and industrial training content move seamlessly between 2D video, 360° video and VR scenes.
- Duration
- 08/2021 – 07/2023
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Details on MultiMersive in the research portal (opens in a new window)
medAR (opens in a new window)
Medical tracking and AR interaction system (MTAI)
Investigates interactive stereoscopic AR display techniques for medicine, in particular projector-based overlays of navigation cues and virtual anatomy onto the patient during minimally invasive procedures, plus first-aid and anatomy training.
- Duration
- 02/2021 – 04/2023
- Principal investigator
- Prof. Dr. Christian Hansen
- Project staff
- Dr. Gino Gulamhussene
Project partners
Related publications
- A Deep Learning Framework for Predicted 4D MRI (opens in a new window)G Gulamhussene2024
Show 4 more publications
Transfer-Learning Is a Key Ingredient to Fast Deep Learning-Based 4D Liver MRI Reconstruction (opens in a new window)G Gulamhussene, M Rak, O Bashkanov et al.Scientific Reports, 2023
Using Training Samples as Transitive Information Bridges in Predicted 4D MRI (opens in a new window)G Gulamhussene, O Bashkanov, J Omari et al.Medical Image Learning with Limited and Noisy Data, 2023
Predicting 4D Liver MRI for MR-Guided Interventions (opens in a new window)G Gulamhussene, A Meyer, M Rak et al.Computerized Medical Imaging and Graphics, 2022- 4D MRI: Robust Sorting of Free Breathing MRI Slices for Use in Interventional Settings (opens in a new window)G Gulamhussene, F Joeres, M Rak et al.PLOS ONE, 2020
Details on medAR in the research portal (opens in a new window)
VR-MED (opens in a new window)
VR-based emergency simulation for medical education and training
Develops a VR simulator with simulation algorithms and virtual medical equipment that reproduces diagnostic and treatment procedures, to improve emergency-medicine training for physicians and paramedics.
- Duration
- 03/2021 – 02/2023
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Details on VR-MED in the research portal (opens in a new window)
Improving spatial perception for medical augmented reality with interactive depth layers (opens in a new window)
Investigates whether depth-layer decomposition, transparency and multimodal or collaborative interaction improve the understanding of spatial relations in multilayer medical AR.
- Duration
- 09/2019 – 08/2022
- Principal investigators
- Prof. Dr. Kai Lawonn (opens in a new window); Prof. Dr. Christian Hansen
Project partners
AVATAR (opens in a new window)
Augmented and virtual multi-user applications for medical-technical exchange in immersive rooms
Develops collaborative VR interaction and visualisation techniques with hybrid ultra-wideband/inertial tracking, so that surgeons can train together in real time over distance.
- Duration
- 09/2018 – 05/2022
Project partners
- metratec GmbH (opens in a new window)
- 2tainment GmbH (opens in a new window)
- Harvard Medical School (opens in a new window)
- University Medical Center Mainz (opens in a new window)
- STIMULATE (opens in a new window)
Details on AVATAR in the research portal (opens in a new window)
VR/AR-based explorer for medical education (opens in a new window)
Investigates VR/AR for basic medical education on affordable mobile devices, linking virtual content to existing anatomy and surgery textbooks, with an authoring tool for teachers.
- Duration
- 06/2019 – 12/2021
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Details on VR/AR-based explorer for medical education in the research portal (opens in a new window)
Biofeedback-based AR system for medical balance training (opens in a new window)
Develops a prototype that extends an existing balance-therapy device with an AR-based operating and game interface and multi-physiological sensing for biofeedback training.
- Duration
- 11/2019 – 10/2021
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Smart insole for interaction applications (opens in a new window)
Investigates controlling software through foot gestures captured by a smart insole, keeping the hands free and avoiding contact with non-sterile input devices in the operating room.
- Duration
- 10/2017 – 03/2021
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Details on Smart insole for interaction applications in the research portal (opens in a new window)
Automated online service for patient-specific 3D models to support therapy decisions (opens in a new window)
Develops an automated online service for patient-specific 3D organ models, studied for prostate cancer therapy, with improved image segmentation and human–computer interaction techniques.
- Duration
- 11/2016 – 12/2020
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Related publications
Augmented reality-assisted 3D laparoscopy (opens in a new window)
Develops an AR approach that fuses MRI or CT cross-sections with real-time 3D laparoscopic images and establishes image-compatible markers, motivated by partial nephrectomy.
- Duration
- 07/2017 – 06/2020
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Details on Augmented reality-assisted 3D laparoscopy in the research portal (opens in a new window)
3D projection displays for training and support of medical interventions (opens in a new window)
Investigates a camera-based 3D multi-projector system for medical visualisation and interaction, supporting training and interventions.
- Duration
- 04/2017 – 04/2020
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Improving spatial perception in medical AR through illustrative visualization and auditory feedback (opens in a new window)
Investigates how to encode spatial information in medical AR with illustrative shadows and glyphs, context-adaptive delineation and auditory feedback, to reduce spatial misinterpretation during image-guided interventions.
- Duration
- 04/2016 – 04/2020
- Principal investigators
- Prof. Dr. Kai Lawonn (opens in a new window); Prof. Dr. Christian Hansen
Project partners
Home training for the therapy of cognitive disorders (opens in a new window)
Investigates motivation techniques that support home training in the therapy of cognitive disorders, particularly after stroke.
- Duration
- 03/2017 – 02/2020
- Funding
- EU (opens in a new window) + state funding
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
STIMULATE – Planning and Navigation (opens in a new window)
Develops algorithms and clinically usable prototypes for planning and navigating minimally invasive interventions, focusing on instrument tracking, calibration, AR visualisation and sterile human–machine interaction.
- Duration
- 01/2015 – 12/2019
- Principal investigators
- Prof. Dr. Georg Rose (opens in a new window); Prof. Dr. Christian Hansen
Project partners
Details on STIMULATE – Planning and Navigation in the research portal (opens in a new window)
2D map displays to support neurosurgical interventions (opens in a new window)
Designs, develops and evaluates a 2D map display for navigation support during neurosurgery, with algorithms that provide classified, weighted neurosurgical data.
- Duration
- 03/2017 – 02/2018
- Principal investigator
- Prof. Dr. Christian Hansen
Project partners
Further information on these projects can be found in the research portal of Saxony-Anhalt (opens in a new window).