Publications related to High-Precision MRI Reconstruction Algorithm for 3D Sphere Packings

Perturbed Fourier uniqueness and interpolation results in higher dimensions

Joao Pedro Gonçalves Ramos, Martin Peter Stoller

We obtain new Fourier interpolation and uniqueness results in all dimensions, extending methods and results by the first author and M. Sousa [11] and the second author [12]. We show that the only Schwartz function which, together with its Fourier transform ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2022

Voss surfaces: A design space for geodesic gridshells

Corentin Jean Dominique Fivet, Nicolas Robin Montagne, Olivier Baverel

The design of envelopes with complex geometries often leads to construction challenges. To overcome these difficulties, resorting to discrete differential geometry proved successful by establishing close links between mesh properties and the existence of g ...

2021

Voss Surfaces: A Design Space for Geodesic Gridshells

Corentin Jean Dominique Fivet, Nicolas Robin Montagne, Olivier Baverel

The design of envelopes with complex geometries often leads to construction challenges. To overcome these difficulties, resorting to discrete differential geometry proved successful by establishing close links between mesh properties and the existence of g ...

2020

Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs

Frédérick Matthieu Gusset

Convolutional neural networks (CNNs) are powerful tools in Deep Learning mainly due to their ability to exploit the translational symmetry present in images, as they are equivariant to translations. Other datasets present different types of symmetries (e.g ...

2019

Geometric ergodicity for some space-time max-stable Markov chains

Erwan Fabrice Koch

Max-stable processes are central models for spatial extremes. In this paper, we focus on some space-time max-stable models introduced in Embrechts et al. (2016). The processes considered induce discrete-time Markov chains taking values in the space of cont ...

ELSEVIER SCIENCE BV2019

Data-driven Measurement Designs for Magnetic Resonance Imaging

Baran Gözcü

Despite being a powerful medical imaging technique which does not emit any ionizing radiation, magnetic resonance imaging (MRI) always had the major problem of long scanning times that can take up to an hour depending on the application. It also requires u ...

EPFL2019

Concentration compactness for critical radial wave maps

Joachim Krieger, Elisabetta Chiodaroli

We consider radially symmetric, energy critical wave maps from (1 + 2)-dimensional Minkowski space into the unit sphere

\mathbf{S}^m

, m≥1, and prove global regularity and scattering for classical smooth data of finite energy. In addition, we establish a ...

2018

On the diametric compression strength test of brittle spherical particles

Andreas Mortensen, Goran Zagar, Václav Pejchal

Diametric compression testing can be used to measure the hoop strength of spherical particles if one uses platens whose deformation behaviour is tailored in a way that allows the particles to sink sufficiently far into the platens before particle fracture ...

2018

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

Tom Hilbert

Magnetic resonance imaging (MRI) has yielded great success as a medical imaging modality in the past decades, and its excellent soft tissue contrast is used in clinical routine to support diagnosis today. However, MRI is still facing challenges. For exampl ...

EPFL2018

3D Bpconvnet To Reconstruct Parallel Mri

Michaël Unser, Kyong Hwan Jin

In recent years, compressed sensing techniques have been applied to the reconstruction of parallel magnetic resonance (MR) images. Particularly for 3D MR signal, it is crucial to acquire fewer samples to reduce the distortions caused by long-time acquisiti ...

IEEE2018

High-Precision MRI Reconstruction Algorithm for 3D Sphere Packings

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Perturbed Fourier uniqueness and interpolation results in higher dimensions

Voss surfaces: A design space for geodesic gridshells

Voss Surfaces: A Design Space for Geodesic Gridshells

Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs

Geometric ergodicity for some space-time max-stable Markov chains

Data-driven Measurement Designs for Magnetic Resonance Imaging

Concentration compactness for critical radial wave maps

On the diametric compression strength test of brittle spherical particles

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

3D Bpconvnet To Reconstruct Parallel Mri

Perturbed Fourier uniqueness and interpolation results in higher dimensions

Voss Surfaces: A Design Space for Geodesic Gridshells

Voss surfaces: A design space for geodesic gridshells

Geometric ergodicity for some space-time max-stable Markov chains

Data-driven Measurement Designs for Magnetic Resonance Imaging

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

On the diametric compression strength test of brittle spherical particles

Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs

Concentration compactness for critical radial wave maps

3D Bpconvnet To Reconstruct Parallel Mri