Shlomi Lifshits1,
Daniel Barazany2, Saharon Rosset1, Yaniv Assaf2
1Department
of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv, Israel;
2Department of Neurobiology, Tel-Aviv University, Tel-Aviv, Israel
We train a classification model for prediction of the cortical layer based on inversion recovery data. We show how partial volume artifact can be minimized by enhancing the resolution using the generated probability maps.
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