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02/24/2023
Retrospective Uncertainties for Deep Models using Vine Copulas
Despite the major progress of deep models as learning machines, uncertai...
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06/17/2022
OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing
Optoacoustic (OA) imaging is based on excitation of biological tissues w...
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01/28/2022
Learning Summary Statistics for Bayesian Inference with Autoencoders
For stochastic models with intractable likelihood functions, approximate...
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09/27/2021
Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network
Accurate lake temperature estimation is essential for numerous problems ...
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01/07/2020
Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
Bone surface delineation in ultrasound is of interest due to its potenti...
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12/22/2019
Active Learning for Segmentation Based on Bayesian Sample Queries
Segmentation of anatomical structures is a fundamental image analysis ta...
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11/12/2018
Extending Pretrained Segmentation Networks with Additional Anatomical Structures
Comprehensive surgical planning require complex patient-specific anatomi...
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07/19/2018
Generative Adversarial Networks for MR-CT Deformable Image Registration
Deformable Image Registration (DIR) of MR and CT images is one of the mo...
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07/18/2018
Active Learning for Segmentation by Optimizing Content Information for Maximal Entropy
Segmentation is essential for medical image analysis tasks such as inter...
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06/01/2018