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Found 4 papers, 2 papers with code
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control
We present FetMRQC, an open-source machine-learning framework for automated image quality assessment and quality control that is robust to domain shifts induced by the heterogeneity of clinical data.
Population-wise Labeling of Sulcal Graphs using Multi-graph Matching
In particular, representing cortical folding patterns as graphs of sulcal basins-termed sulcal graphs-enables to formalize the task as a graph-matching problem.
Kernelized multi-graph matching
The matching problem can then be formulated as a non-convex quadratic optimization problem (QAP) under constraints imposed on the rank and the permutations.
Comparing vector fields across surfaces: interest for characterizing the orientations of cortical folds
Vectors fields defined on surfaces constitute relevant and useful representations but are rarely used.
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