Publications related to Embedding Motion in Model-Based Stochastic Tracking

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Volkan Cevher, Baran Gözcü, Thomas Sanchez

In the last decade, Compressive Sensing (CS) has emerged as the most promising, model-driven approach to accelerate MRI scans. CS relies on the key sparsity assumption and proposes random sampling for data acquisition. The practical CS approaches in MRI em ...

IEEE2019

Fast Mean Estimation with Sub-Gaussian Rates

Nicolas Henri Bernard Flammarion

We present an improved analysis of the Euler-Maruyama discretization of the Langevin diffusion. Our analysis does not require global contractivity, and yields polynomial dependence on the time horizon. Compared to existing approaches, we make an additional ...

2019

Vase-Kite Equilibrium of Resorcin[4]arene Cavitands Investigated Using Molecular Dynamics Simulations with Ball-and-Stick Local Elevation Umbrella Sampling

Jovana Milic

A key feature of resorcin[4]arene cavitands is their ability to switch between a closed/contracted (Vase) and an open/expanded (Kite) conformation. The mechanism and dynamics of this interconversion remains, however, elusive. In the present study, the Vase ...

2019

Improving life cycle-based exploration methods by coupling sensitivity analysis and metamodels

Thomas Bernard Paul Jusselme

Exploration methods combine parametric energy assessments and data visualization to support building designers at early design stages. When exploration methods come to Life-Cycle Assessment (LCA) and the Global Warming Potential (GWP) assessment, a larger ...

2019

Controlling motion artefact levels in MR images by suspending data acquisition during periods of head motion

Bogdan Draganski

Purpose: Head movements are a major source of MRI artefacts. Prospective motion correction techniques significantly improve data quality, but strong motion artefacts may remain in the data. We introduce a framework to suspend data acquisition during period ...

2018

Analysis of the sensitivity of the hydromorphological index of diversity, HMID

Anton Schleiss, Walter Gostner, Mário Jorge Rodrigues Pereira Da Franca, Severin Stähly, Christopher Robinson

Hydromorphological conditions are a key factor for the habitat diversity in riverine ecosystems. The Hydromorphological Index of Diversity (HMID) is a tool to quantify the habitat diversity in a river reach based on local flow depths and flow velocities. T ...

2018

Physics-based Reconstruction and Animation of Humans

Alexandru Eugen Ichim

Creating digital representations of humans is of utmost importance for applications ranging from entertainment (video games, movies) to human-computer interaction and even psychiatrical treatments. What makes building credible digital doubles difficult is ...

EPFL2017

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

How does the streamwater quality change during storm events, and how to characterize it? The purpose of this study is to investigate the evolution of major ions in streamwater from base ow to storm ux. Regular manual sampling and automated sampling campaig ...

2017

How does one compute the noise power to simulate real and complex GNSS signals?

Cyril Botteron, Jérôme Leclère

Simulation of GNSS signals is very important to test and validate algorithms. With some algorithms, such as acquisition or tracking, we do not need to simulate a realistic constellation with actual ranges, Doppler or navigation data. We can simply simulate ...

2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Embedding Motion in Model-Based Stochastic Tracking

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Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Fast Mean Estimation with Sub-Gaussian Rates

Vase-Kite Equilibrium of Resorcin[4]arene Cavitands Investigated Using Molecular Dynamics Simulations with Ball-and-Stick Local Elevation Umbrella Sampling

Improving life cycle-based exploration methods by coupling sensitivity analysis and metamodels

Controlling motion artefact levels in MR images by suspending data acquisition during periods of head motion

Analysis of the sensitivity of the hydromorphological index of diversity, HMID

Physics-based Reconstruction and Animation of Humans

Gauging the highs: design and realization of a water sample campaign during high and low streamflow

How does one compute the noise power to simulate real and complex GNSS signals?

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Controlling motion artefact levels in MR images by suspending data acquisition during periods of head motion

Fast Mean Estimation with Sub-Gaussian Rates

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Analysis of the sensitivity of the hydromorphological index of diversity, HMID

Vase-Kite Equilibrium of Resorcin[4]arene Cavitands Investigated Using Molecular Dynamics Simulations with Ball-and-Stick Local Elevation Umbrella Sampling

Physics-based Reconstruction and Animation of Humans

Sampling and Reconstruction of Shapes with Algebraic Boundaries

How does one compute the noise power to simulate real and complex GNSS signals?

Improving life cycle-based exploration methods by coupling sensitivity analysis and metamodels

Gauging the highs: design and realization of a water sample campaign during high and low streamflow