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Publications associées (32)

On some graph-based two-sample tests for high dimension, low sample size data

Soham Sarkar

Testing for equality of two high-dimensional distributions is a challenging problem, and this becomes even more challenging when the sample size is small. Over the last few decades, several graph-based two-sample tests have been proposed in the literature, ...

SPRINGER2020

Clinical implementation of accelerated T-2 mapping: Quantitative magnetic resonance imaging as a biomarker for annular tear and lumbar disc herniation

Tobias Kober, Tom Hilbert, Michael Weber

Objectives This study evaluates GRAPPATINI, an accelerated T-2 mapping sequence combining undersampling and model-based reconstruction to facilitate the clinical implementation of T-2 mapping of the lumbar intervertebral disc. Methods Fifty-eight individua ...

SPRINGER2021

Brainstem Correlates of a Cold Pressor Test Measured by Ultra-High Field fMRI

Dimitri Nestor Alice Van De Ville, Olivier Benoit Thomas Reynaud, Domenica Bueti, Fatma Megdiche

Introduction Modern imaging techniques such as blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) allow the non-invasive and indirect measurement of brain activity. Whether changes in signal intensity can be detected in small ...

2020

OT-μDTC, a test bench for testing CMS Outer Tracker Phase-2 module prototypes

Alessandro Caratelli, Davide Ceresa, Simone Scarfì

The Compact Muon Solenoid (CMS) experiment plans to replace its strip tracker system with a completely new Outer Tracker system to cope with the higher luminosity, compared to Run 2 operation, provided by the HL-LHC. This CMS Phase-2 Outer Tracker will be ...

Proceedings Of Science2020

From Data to Decisions: Distributionally Robust Optimization is Optimal

Daniel Kuhn, Peyman Mohajerin Esfahani

We study stochastic programs where the decision-maker cannot observe the distribution of the exogenous uncertainties but has access to a finite set of independent samples from this distribution. In this setting, the goal is to find a procedure that transfo ...

2021

Comparison of gait characteristics between clinical and daily life settings in children with cerebral palsy

Kamiar Aminian, Anisoara Ionescu, Lena Carcreff, Stéphane Armand

Gait assessments in standardized settings, as part of the clinical follow-up of children with cerebral palsy (CP), may not represent gait in daily life. This study aimed at comparing gait characteristics in laboratory and real life settings on the basis of ...

Nature Research2020

Patient respiratory-triggered quantitative T-2 mapping in the pancreas

Tobias Kober, Tom Hilbert, Reto Meuli, Josefina Adriana Maria Bastiaansen

Background Long acquisition times and motion sensitivity limit T-2 mapping in the abdomen. Accelerated mapping at 3 T may allow for quantitative assessment of diffuse pancreatic disease in patients during free-breathing. Purpose To test the feasibility of ...

2019

Magnetization transfer in magnetic resonance fingerprinting

Tobias Kober, Tom Hilbert

Purpose To study the effects of magnetization transfer (MT, in which a semi-solid spin pool interacts with the free pool), in the context of magnetic resonance fingerprinting (MRF). Methods Simulations and phantom experiments were performed to study the im ...

WILEY2020

Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis

Cathrin Brisken, Kathryn Hess Bellwald, Jacques Rougemont, Rachel Marcone

Motivation: Unbiased clustering methods are needed to analyze growing numbers of complex data sets. Currently available clustering methods often depend on parameters that are set by the user, they lack stability, and are not applicable to small data sets. ...

2019

Model-based super-resolution reconstruction of T-2 maps

Jean-Philippe Thiran, Tobias Kober, Tom Hilbert, Gian Franco Piredda, Reto Meuli, Mohammad Golbabaee, Wajiha Bano

Purpose High-resolution isotropic T-2 mapping of the human brain with multi-echo spin-echo (MESE) acquisitions is challenging. When using a 2D sequence, the resolution is limited by the slice thickness. If used as a 3D acquisition, specific absorption rate ...

Wiley2020

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

Daniel Kuhn, Viet Anh Nguyen, Soroosh Shafieezadeh Abadeh, Peyman Mohajerin Esfahani

Many decision problems in science, engineering and economics are affected by uncertain parameters whose distribution is only indirectly observable through samples. The goal of data-driven decision-making is to learn a decision from finitely many training s ...

2019

A machine learning approach based on generative topographic mapping for disruption prevention and avoidance at JET

Alessandro Pau

The need for predictive capabilities greater than 95% with very limited false alarms are demanding requirements for reliable disruption prediction systems in tokamaks such as JET or, in the near future, ITER. The prediction of an upcoming disruption must b ...

IOP Publishing Ltd2019

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