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Principal Investigator  
Principal Investigator's Name: Saurabh Varshneya
Institution: Technische Universtät Kaiserslautern
Department: Computer Science
Country:
Proposed Analysis: Fusing multimodal data containing MRI, PET, and SNPs using Machine Learning and Neural Networks in an interpretable way. This means that not only we want to accurately diagnose Dementia but also find out the data source which is most crucial for our decision. We also want to test our method in an Anamoly detection setup, where the subjects with Dementia are considered as anomaly whereas the rest of the subjects are considered nominal.
Additional Investigators  
Investigator's Name: Philipp Liznerski
Proposed Analysis: Philipp will collaborate for Deep Anamoly detection setup where we use deep learning methods to detect Dementia as an anomaly class.