DeepAutoQC – Automated Quality Control of MRI Images Using Deep Learning
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DeepAutoQC – Automated Quality Control of MRI Images Using Deep Learning
In this Project, we explore automatic quality control of MRI scans using Deep Learning. Different Deep Learning architectures were used and compared in terms of their performance in predicting scan quality.
Members: Lea Waller, Dominik Göller
Head: Prof. Dr. Med. Susanne Erk, M.Sc. Lea Waller, Prof. Dr. Stefan Haufe
contact: Dominik Göller, dominik.goeller(at)charite.de Lea Waller, lea.waller(at)charite.de