Sensors MDPIRT @Sensors_MDPI: Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification
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Institute of Medical Informatics
Director: Prof. Dr. rer. nat. habil. Heinz Handels
- Artificial Intelligence and Deep Learning in Medicine
- Medical Image Processing and Virtual Reality Simulation
- Integration and Utilisation of Medical Data
- Sensor Data Analysis for Assistive Health Technologies
Medical Image Computing and Artificial Intelligence
Prof. Dr. rer. nat. habil. Heinz Handels
- Machine Learning methods in Medical Image Processing
- Deep CNNs for Medical Image Segmentation and Classification
- Generation of Synthetic Medical Images
- Model-based Segmentation and Registration of Medical Image Data
- 4D Image Processing for Analysis of Organ and Lesion Changes
- Virtual Reality Simulations for Training and Planning of Interventions
Medical Data Science
Prof. Dr.-Ing. habil. Marcin Grzegorzek
- Assessment of Physical and Psychological Signals
- Data Science for Assistive Health Technologies
- Recognition of Physical and Cognitive Activities
- Sensor-based Gait and Movement Analysis
- Data Science in Nutritional Medicine
- Sensor-based Pain and Emotion Recognition
Medical Deep Learning
Prof. Dr. Mattias Heinrich
- Multimodal Learning & Efficient Deep Networks
- 3D Medical Image Registration & Segmentation
- Explainable AI & Geometric Deep Learning
Medical Data Engineering
Prof. Dr. rer. nat. habil. Josef Ingenerf
- Semantic Interoperability via Standardized Data Models
- Networking of point-of-care Medical Devices
- Reference Terminologies such as SNOMED CT and Metadata Repositories
- ETL Processes using Mapping and Terminology Server Services
- Personalized Medicine: Decision Support in the Molecular Tumor Board
- Disease Surveillance: Infection Control and Outbreak Detection
- Data Protection & Ethically legitimate Biobank/study Management
HiGHmed
HiGHmed-Project within the BMBF-MI-Initiative
- Data Integration Center UKSH MeDIC
- Use Case Infection Control
- Use Case Molecular Tumor Board (MTB)
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RT @UniLuebeck: Unser Schnuppertag für Studieninteressierte findet am 20. Mai 2022 statt. Die Studiengänge stellen sich vor und es können F…
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Wir dürfen gratulieren! Unser Kollege Hannes hat seine #Dissertation erfolgreich verteidigt. Herzlichen Glückwunsch… https://t.co/Sv0dfgsJqp
Universität Lübeck
Institut für Medizinische Informatik