Publications related to A Path-Based Model for Aberration Correction in Ultrasound Imaging

Related publications (6)

An Inverse-Problem Approach to the Estimation of Despeckled and Deconvolved Images from Radio-Frequency Signals in Pulse-Echo Ultrasound

Jean-Philippe Thiran, Samuel Denys Beuret

In recent years, there has been notable progress in the development of inverse problems for image reconstruction in pulse-echo ultrasound. Inverse problems are designed to circumvent the restrictions of delay-And-sum, such as limited image resolution and d ...

2024

Exact Algorithms for Continuous Pricing with Advanced Discrete Choice Demand Models

Michel Bierlaire, Fabian Alejandro Torres Duran, Tom Haering

We present the Breakpoint Exact Algorithm (BEA) together with a Spatial Branch and Bound (B&B), and Spatial Branch and Benders Decomposition (B&BD) approach to tackle the uncapacitated choice-based pricing problem (CPP) where demand is captured by a disc ...

2023

USSR: An UltraSound Sparse Regularization framework

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

Ultrafast ultrasound (US) imaging uses unfocused waves to insonify the whole medium of interest at once, allowing pulse-echo US imaging to achieve very high frame rates, at the cost of a lower image quality. In this paper, we present USSR, an UltraSound Sp ...

Ieee2017

Sparse representation of signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV

Ambrogio Fasoli, Jonathan Bryan Lister, Duccio Testa, Patrick Blanchard, Theodoros Panis, Mattia Albergante

Efficient, real-time and automated data analysis is one of the key elements for achieving scientific success in complex engineering and physical systems, of which two examples are the JET and ITER tokamaks. One problem which is common to these fields is th ...

2016

Learning Data Triage: Linear Decoding Works for Compressive MRI

Volkan Cevher, Yen-Huan Li

The standard approach to compressive sampling considers recovering an unknown deterministic signal with certain known structure, and designing the sub-sampling pattern and recovery algorithm based on the known structure. This approach requires looking for ...

Ieee2016

Reconciling Utility with Privacy in Genomics

Jean-Pierre Hubaux, Erman Ayday, Mathias Jacques Jean-Marc Humbert

Direct-to-consumer genetic testing makes it possible for everyone to learn their genome sequences. In order to contribute to medical research, a growing number of people publish their genomic data on the Web, sometimes under their real identities. However, ...

2014