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03/08/2023
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes
This paper presents a novel predictive model, MetaMorph, for metamorphic...
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12/19/2021
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
This work details a highly efficient implementation of the 3D scale-inva...
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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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08/21/2019
Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery
In image-guided neurosurgery, deformable registration currently is not a...
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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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11/28/2018
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study
Background and objective: Combined evaluation of lumbosacral structures ...
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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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03/20/2018
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation
A reliable Ultrasound (US)-to-US registration method to compensate for b...
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03/14/2018
On the Ambiguity of Registration Uncertainty
Estimating the uncertainty in image registration is an area of current r...
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02/25/2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diag...
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01/22/2015
Active Mean Fields for Probabilistic Image Segmentation: Connections with Chan-Vese and Rudin-Osher-Fatemi Models
Segmentation is a fundamental task for extracting semantically meaningfu...
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03/18/2009
