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04/19/2023
Analyzing the Domain Shift Immunity of Deep Homography Estimation
Homography estimation is a basic image-alignment method in many applicat...
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04/06/2023
Neural Operator Learning for Ultrasound Tomography Inversion
Neural operator learning as a means of mapping between complex function ...
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12/01/2021
Bridge Simulation on Lie Groups and Homogeneous Spaces with Application to Parameter Estimation
We present three simulation schemes for simulating Brownian bridges on c...
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06/07/2021
Bridge Simulation and Metric Estimation on Lie Groups
We present a simulation scheme for simulating Brownian bridges on comple...
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04/02/2021
Physics Informed Convex Artificial Neural Networks (PICANNs) for Optimal Transport based Density Estimation
Optimal Mass Transport (OMT) is a well studied problem with a variety of...
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10/23/2019
Learning Multiparametric Biomarkers for Assessing MR-Guided Focused Ultrasound Treatments Using Volume-Conserving Registration
Noninvasive MR-guided focused ultrasound (MRgFUS) treatments are promisi...
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07/22/2018
Real-Time Patient-Specific Lung Radiotherapy Targeting using Deep Learning
Radiation therapy has presented a need for dynamic tracking of a target ...
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05/19/2018
Latent Space Non-Linear Statistics
Given data, deep generative models, such as variational autoencoders (VA...
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05/31/2017
Bridge Simulation and Metric Estimation on Landmark Manifolds
We present an inference algorithm and connected Monte Carlo based estima...
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01/11/2012
Polynomial Regression on Riemannian Manifolds
In this paper we develop the theory of parametric polynomial regression ...
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01/04/2010