Publications by Adrien Besson | EPFL Graph Search

Image reconstruction method based on a trained non-linear mapping

Jean-Philippe Thiran, Dimitris Perdios, Adrien Georges Jean Besson, Marcel Arditi, Adrien Besson, Florian Martinez

The present invention concerns an array processing image reconstruction method comprising: receiving (13) a set of echo waveforms as measurements from the object of interest; defining (15) a measurement model linking an unknown image of the object to the m ...

2020

Model-based image reconstruction method

Jean-Philippe Thiran, Dimitris Perdios, Adrien Georges Jean Besson, Marcel Arditi, Adrien Besson

The present invention concerns a pulse wave image reconstruction method to be used for example in ultrasound imaging. The proposed method is based on an image measurement model and its adjoint operator. The proposed method introduces matrix-free formulatio ...

2019

On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

Jean-Philippe Thiran, Dimitris Perdios, Adrien Georges Jean Besson, Marcel Arditi, Adrien Besson, Florian Martinez, Manuel Vonlanthen

Recently, many pulse-echo ultrasound (US) imaging methods have relied on the transmission of unfocused wavefronts. Such a strategy allows for very high frame rates at the cost of a degraded image quality. In this work, we present a regularized inverse prob ...

IEEE2019

Deep Convolutional Neural Network for Ultrasound Image Enhancement

Jean-Philippe Thiran, Dimitris Perdios, Adrien Georges Jean Besson, Marcel Arditi, Adrien Besson, Florian Martinez, Manuel Vonlanthen

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

Stratégie versus composition

Adrien Besson

To avoid chaos and arbitrariness architects have traditionally looked for ways to structure buildings as wholes that can be factorised into parts. This approach to the nature of architecture is that of composition. After the Second World War, the world of ...

EPFL2009

Adrien Besson

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Image reconstruction method based on a trained non-linear mapping

Model-based image reconstruction method

On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

Deep Convolutional Neural Network for Ultrasound Image Enhancement

Stratégie versus composition

La mécanique du pittoresque

Extension dense

Architecture et indétermination

Archipels

Image reconstruction method based on a trained non-linear mapping

Model-based image reconstruction method

On Problem Formulation, Efficient Modeling and Deep Neural Networks for High-Quality Ultrasound Imaging

Deep Convolutional Neural Network for Ultrasound Image Enhancement

Stratégie versus composition

La mécanique du pittoresque

Extension dense

Architecture et indétermination

Archipels