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Principal Investigator  
Principal Investigator's Name: Martin Tamajka
Institution: Slovak University of Technology
Department: Faculty of informatics and information technologie
Country:
Proposed Analysis: We are going to explore various techniques of deep learning in conjunction with imaging data and cognitive tests. The primary focus of our research is application of computer vision techniques (including deep learning) in medical analysis. We will therefore rely on segmentation and partitioning of anatomical imaging data to various substructures. Besides that, we are going to fuse multiple modalities (anatomical and functional information).
Additional Investigators  
Investigator's Name: Marek Jakab
Proposed Analysis: Marek Jakab, a PhD student at Slovak university of technology will investigate applications of deep learning in analysis of multimodal and multisource medical data. More specifically, he will contribute in investigation of methods for increasing transparency of deep learning models in context of medical image classification
Investigator's Name: Wanda Benesova
Proposed Analysis: Dr. Benesova is an associate professor at Slovak university of technology. Her scientific background lies in computer vision, artificial intelligence and signal processing. In context of the project, dr. Benesova will be mainly in the role of supervisor of the research team, secondly in the role of investigator in the area of image segmentation (MRI), fusion (MRI-PET) and data preprocessing.