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, brain analysis, 3D movement analysis, respiratory and circulatory examinations, sensory and motor functions analysis, etc. All study programs at Aalborg University involve problem-based learning
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based
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on the development of AI models for analysis of cardiac CT scans, with the aim to explore how machine learning models can quantify cardiovascular disease and predict future events from CT scans. The project will
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bioimaging (Abberior facility line STED, MINFLUX, Nikon 3D STORM and Nikon dual cam SIM). Opportunity to exchange knowledge, discuss project progress, and visit collaboration partners for cross-laboratory