Acquisition-Variance

Cross-center smoothness prior for Bayesian image segmentation
MR images vary across medical centers due to calibration and acquisition protocols. But segmentations are relatively consistent. How …
Jun 4, 2019 Hong Kong University of Science & Technology, Hong Kong
Poster
MR acquisition-invariant representation learning
Generalization of voxelwise classifiers is hampered by differences between MRI-scanners, e.g., different acquisition protocols and field strengths. We propose a Siamese neural network (MRAI-NET) that extracts acquisition-invariant feature vectors.
Apr 8, 2019 — Apr 11, 2019 Venice, Italy
Poster