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Principal Investigator  
Principal Investigator's Name: Egils Avots
Institution: University of Tartu
Department: Institute of Technology
Proposed Analysis: Hello, As part of my PhD thesis 'Brain Abnormality Detection Using Statistical Analysis of Individual Structural Connectivity Networks and EEG Signals', I want to use ADNI dataset for developing machine learning methods for detecting brain anomalies. My institute does not have funding, nor resources to gather MRI data, hence I kindly ask access to ANDI dataset. When publishing the results, all credit and acknowledgments for obtained data, goes to the initiative as requested by the user agreement. The brain anomaly classification approach will show the use of image features and classical machine learning as a baseline and use of neural networks to reach state-of-the-art level of performance. Best regards Egils Avots iCV Research Lab University of Tartu
Additional Investigators  
Investigator's Name: Gholamreza Anbarjafari
Proposed Analysis: Prof G. Anbarjafari (Shahab) is my PhD thesis supervisor and leading expert in affective computing in Europe.
Investigator's Name: Maie Bachmann
Proposed Analysis: Maie Bachmann is my PhD co-supervisor, she is an expert in brain anomaly detection and analysis using various modalities.