Publications related to Guest Editorial: Wavelets in Medical Imaging

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The problem of improving image quality in ultrafast ultrasound (US) imaging by means of regularized iterative algorithms has raised a vast interest in the US community. These approaches usually rely on standard image processing priors, such as wavelet spar ...

IEEE2018

Towards Ultrasound Everywhere: A Portable 3D Digital Back-End Capable of Zone and Compound Imaging

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Ultrasound imaging is a ubiquitous diagnostic technique, but does not fit the requirements of the telemedicine approach, because it relies on the real-time manipulation and image recognition skills of a trained expert, called sonographer. Sonographers are ...

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A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

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In this paper we present a non-stationary stochastic generator for radar rainfall fields based on the short-space Fourier transform (SSFT). The statistical properties of rainfall fields often exhibit significant spatial heterogeneity due to variability in ...

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An Adaptive Sublinear-Time Block Sparse Fourier Transform

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The problem of approximately computing the

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Optimized Wavelet Denoising for Self-Similar alpha-Stable Processes

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Sparse inverse problems for Fourier imaging

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Many natural images have low intrinsic dimension (a.k.a. sparse), meaning that they can be represented with very few coefficients when expressed in an adequate domain. The recent theory of Compressed Sensing exploits this property offering a powerful frame ...

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We establish in the world of stochastic processes a theoretical relation between sparsity and wavelets. The underlying principle is to treat stochastic processes as generalized functions, which facilitates the study of their properties in a transform domai ...

EPFL2017

Signal Analysis Based on Complex Wavelet Signs

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We propose a signal analysis tool based on the sign (or the phase) of complex wavelet coefficients, which we call a signature. The signature is defined as the fine-scale limit of the signs of a signal's complex wavelet coefficients. We show that the signat ...

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LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

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Context. Two main classes of imaging algorithms have emerged in radio interferometry: the CLEAN algorithm and its multiple variants, and compressed-sensing inspired methods. They are both discrete in nature, and estimate source locations and intensities on ...

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Dictionary Learning Based on Sparse Distribution Tomography

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Guest Editorial: Wavelets in Medical Imaging

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Deep Convolutional Neural Network for Ultrasound Image Enhancement

Towards Ultrasound Everywhere: A Portable 3D Digital Back-End Capable of Zone and Compound Imaging

A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Optimized Wavelet Denoising for Self-Similar alpha-Stable Processes

Sparse inverse problems for Fourier imaging

Optimal Representations of Sparse Stochastic Processes with Applications in Image Processing

Signal Analysis Based on Complex Wavelet Signs

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Dictionary Learning Based on Sparse Distribution Tomography

A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform

An Adaptive Sublinear-Time Block Sparse Fourier Transform

Deep Convolutional Neural Network for Ultrasound Image Enhancement

Towards Ultrasound Everywhere: A Portable 3D Digital Back-End Capable of Zone and Compound Imaging

Signal Analysis Based on Complex Wavelet Signs

LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources

Optimized Wavelet Denoising for Self-Similar alpha-Stable Processes

Sparse inverse problems for Fourier imaging

Optimal Representations of Sparse Stochastic Processes with Applications in Image Processing

Dictionary Learning Based on Sparse Distribution Tomography