Intensity based quantification of fast retinal blood flow in 3D via high resolution resonant Doppler spectral OCT

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The thesis is dedicated to the study of two main partial differential equations (PDEs) in fluid dynamics: the Navier-Stokes equations, which describe the motion of incompressible fluids, and the transport equation with divergence-free velocity fields, whic ...

We introduce an optimization framework for ray and wave optical tomographic volumetric additive manufacturing (TVAM). In TVAM, tomographic patterns are projected with a light modulator onto a photocurable resin from different angular directions. Once an en ...

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In algorithms for solving optimization problems constrained to a smooth manifold, retractions are a well-established tool to ensure that the iterates stay on the manifold. More recently, it has been demonstrated that retractions are a useful concept for ot ...

We establish shape holomorphy results for general weakly- and hyper-singular boundary integral operators arising from second-order partial differential equations in unbounded two-dimensional domains with multiple finite-length open arcs. After recasting th ...

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Background: The pathophysiology behind tinnitus is still not well understood. Different imaging methods help in the understanding of the complex relationships that lead to the perception of tinnitus.Objective: Herein, different functional imaging methods t ...

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Local modifications of a computational domain are often performed in order to simplify the meshing process and to reduce computational costs and memory requirements. However, removing geometrical features of a domain often introduces a non-negligible error ...

Intensity based quantification of fast retinal blood flow in 3D via high resolution resonant Doppler spectral OCT

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Anomalous dissipation and other non-smooth phenomena in fluids

SwissVAMyKnife.jl: an open-source package for tomographic volumetric additive manufacturing

SPACE-TIME REDUCED BASIS METHODS FOR PARAMETRIZED UNSTEADY STOKES EQUATIONS

Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks

Noise-induced transitions past the onset of a steady symmetry-breaking bifurcation: The case of the sudden expansion

3D diffractive optics for linear interconnects and nonlinear processing

From low-rank retractions to dynamical low-rank approximation and back

Shape Holomorphy of Boundary Integral Operators on Multiple Open Arcs

Laterally unconfined neutral or negative buoyancy inflow into a quiescent ambient over sloping bottom

3D reconstruction of curvilinear one-dimensional objects viewed in transmission electron microscopy

Functional neuroimaging options for tinnitus

Dual-frequency spectral radar retrieval of snowfall microphysics: a physics-driven deep-learning approach

Numerical analysis of apparatus-induced dispersion for density-dependent solute transport in porous media

Correlated-photon imaging at 10 volumetric images per second

Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Visualization and modelling of dynamic flow in fibrous preforms for liquid composite molding

Practical computational imaging by use of spatiotemporal light modulation: from simulations to applications in biological microscopy

Analysis of a Class of Multilevel Markov Chain Monte Carlo Algorithms Based on Independent Metropolis–Hastings

Synergetic Aircraft and Ground-Based Remote Sensing and In Situ Measurements of Snowfall Microphysical Properties

Analysis-aware defeaturing of complex geometries with Neumann features