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User-Friendly Building of Reconstruction Algorithms with GlobalBioIm

Michaël Unser, Emmanuel Emilien Louis Soubies, Laurène Donati
2020
Conference Papers

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Michaël Unser, Emmanuel Emilien Louis Soubies, Laurène Donati
2020
Conference Papers

Official source

Related publications (6)

https://infoscience.epfl.ch/entities/publication/302f65aa-7fd0-4f93-aeb2-451e06b2bedf

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Related publications (6)

User-Friendly Building of Reconstruction Algorithms for Solving Inverse Problems

Michaël Unser, Emmanuel Emilien Louis Soubies, Thanh-An Michel Pham, Laurène Donati

IEEE2020

Image Reconstruction in K-Space from MR Data Encoded with Ambiguous Gradient Fields

Daniel Gallichan

PurposeIn this work, the limits of image reconstruction in k-space are explored when non-bijective gradient fields are used for spatial encoding. TheoryThe image space analogy between parallel imaging and imaging with non-bijective encoding fields is parti ...

Wiley-Blackwell2015

A Dual Algorithm for $ L _{ 1 } $ -Regularized Reconstruction of Vector Fields

Michaël Unser, Emrah Bostan, Pouya Dehghani Tafti

Recent advances in vector-field imaging have brought to the forefront the need for efficient denoising and reconstruction algorithms that take the physical properties of vector fields into account and can be applied to large volumes of data. With these req ...

IEEE2012