Abstract: A robust multi-modal tool, for automated registration, bias correction, and tissue classification, has been implemented for large-scale heterogeneous multi-site longitudinal MR data analysis.This work focused on improving the an iterative optimization framework between bias-correction, registration, and tissue classification inspired from previous work.The primary contributions are robustness improvements from incorporation of following four elements: 1) utilize multi-modal and repeated scans, 2) incorporate high-deformable registration, 3) use...
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Topics: 
Artificial intelligence
Computer vision
Data mining