Search Results for author: Evan Schwab

Found 6 papers, 1 papers with code

Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning

1 code implementation23 Jan 2020 Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach

The automatic detection of critical findings in chest X-rays (CXR), such as pneumothorax, is important for assisting radiologists in their clinical workflow like triaging time-sensitive cases and screening for incidental findings.

General Classification

Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI

no code implementations15 Jul 2018 Evan Schwab, Benjamin D. Haeffele, René Vidal, Nicolas Charon

In the classical setting, signals are represented as vectors and the dictionary learning problem is posed as a matrix factorization problem where the data matrix is approximately factorized into a dictionary matrix and a sparse matrix of coefficients.

Denoising Dictionary Learning

(k,q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior

no code implementations21 Jul 2017 Evan Schwab, René Vidal, Nicolas Charon

Advanced diffusion magnetic resonance imaging (dMRI) techniques, like diffusion spectrum imaging (DSI) and high angular resolution diffusion imaging (HARDI), remain underutilized compared to diffusion tensor imaging because the scan times needed to produce accurate estimations of fiber orientation are significantly longer.

Joint Spatial-Angular Sparse Coding for dMRI with Separable Dictionaries

no code implementations18 Dec 2016 Evan Schwab, René Vidal, Nicolas Charon

High angular resolution diffusion imaging (HARDI) can produce better estimates of fiber orientation than the popularly used diffusion tensor imaging, but the high number of samples needed to estimate diffusivity requires longer patient scan times.

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