
Deep Learning 3D Dose Prediction for Conventional Lung IMRT Using Consistent/Unbiased Automated Plans
Deep learning (DL) 3D dose prediction has recently gained a lot of atten...
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Intrinsic Integration
If we wish to integrate a function hΩ⊂^n→ along a single Tlevel surfac...
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An Efficiently Coupled Shape and Appearance Prior for Active Contour Segmentation
This paper proposes a novel training model based on shape and appearance...
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Multitask 3D CBCTtoCT Translation and OrgansatRisk Segmentation Using PhysicsBased Data Augmentation
Purpose: In current clinical practice, noisy and artifactridden weekly ...
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Verifying the Causes of Adversarial Examples
The robustness of neural networks is challenged by adversarial examples ...
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An Adaptive View of Adversarial Robustness from Testtime Smoothing Defense
The safety and robustness of learningbased decisionmaking systems are ...
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An Interactive Control Approach to 3D Shape Reconstruction
The ability to accurately reconstruct the 3D facets of a scene is one of...
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Accelerated PDE's for efficient solution of regularized inversion problems
We further develop a new framework, called PDE Acceleration, by applying...
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Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms
We consider the problem of optimization of cost functionals on the infin...
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Towards an Understanding of Neural Networks in NaturalImage Spaces
Two major uncertainties, dataset bias and perturbation, prevail in state...
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Accelerated Optimization in the PDE Framework: Formulations for the Active Contour Case
Following the seminal work of Nesterov, accelerated optimization methods...
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Tracking via Motion Estimation with Physically Motivated InterRegion Constraints
In this paper, we propose a method for tracking structures (e.g., ventri...
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A compact formula for the derivative of a 3D rotation in exponential coordinates
We present a compact formula for the derivative of a 3D rotation matrix...
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Anthony Yezzi
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