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10/02/2020
Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
We propose a deep learning-based automatic coronary artery tree centerli...
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01/23/2020
Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation
Growing radiologic workload and shortage of medical experts worldwide of...
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06/25/2019
Learning a sparse database for patch-based medical image segmentation
We introduce a functional for the learning of an optimal database for pa...
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06/24/2019
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
Purpose: The goal of this study was to assess the potential added benefi...
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10/28/2018
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
Identifying changes in model parameters is fundamental in machine learni...
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10/17/2018
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Chest radiography is the most common clinical examination type. To impro...
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03/06/2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
The increased availability of X-ray image archives (e.g. the ChestX-ray1...
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02/13/2018
State Space Gaussian Processes with Non-Gaussian Likelihood
We provide a comprehensive overview and tooling for GP modeling with non...
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11/09/2017
Scalable Log Determinants for Gaussian Process Kernel Learning
For applications as varied as Bayesian neural networks, determinantal po...
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12/18/2015
Can Pretrained Neural Networks Detect Anatomy?
Convolutional neural networks demonstrated outstanding empirical results...
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11/13/2015
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
We present a scalable Gaussian process model for identifying and charact...
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11/05/2015
Thoughts on Massively Scalable Gaussian Processes
We introduce a framework and early results for massively scalable Gaussi...
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03/03/2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
We introduce a new structured kernel interpolation (SKI) framework, whic...
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12/19/2011
Additive Gaussian Processes
We introduce a Gaussian process model of functions which are additive. A...
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03/04/2011
Multiple Kernel Learning: A Unifying Probabilistic Viewpoint
We present a probabilistic viewpoint to multiple kernel learning unifyin...
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12/16/2010
Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
We propose a novel algorithm to solve the expectation propagation relaxa...
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12/13/2009
Learning an Interactive Segmentation System
Many successful applications of computer vision to image or video manipu...
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10/06/2008