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10/24/2020
PEP: Parameter Ensembling by Perturbation
Ensembling is now recognized as an effective approach for increasing the...
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11/29/2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Fully convolutional neural networks (FCNs), and in particular U-Nets, ha...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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12/31/2018
Deep Information Theoretic Registration
This paper establishes an information theoretic framework for deep metri...
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04/04/2018
Semi-Supervised Deep Metrics for Image Registration
Deep metrics have been shown effective as similarity measures in multi-m...
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02/25/2017