Concept

Sampling error

Publications associées (319)

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

Wearable System for Real-Time Sensing of Biomarkers in Human Sweat

Junrui Zhang

Wearable sweat sensing systems offer non-invasive and real-time bio-data streaming solutions. They open the possibility for continuous monitoring of biomarkers' concentrations as well as their variation in sweat, which is a complementary to current passive ...

EPFL2019

An intracerebral exploration of functional connectivity during word production

Amandine Grappe

Language is mediated by pathways connecting distant brain regions that have diverse functional roles. For word production, the network includes a ventral pathway, connecting temporal and inferior frontal regions, and a dorsal pathway, connecting parietal a ...

2019

A systematic review and meta-analysis of the efficacy of aortic anastomotic devices

Nikolaos Stergiopoulos, Dimitrios Schizas

Objective: One of the factors contributing to complications related to open repair of the aorta is the construction of a hand-sewn anastomosis. Aortic anastomotic devices (AADs), such as the intraluminal ringed graft (IRG), and the anastomotic stenting tec ...

MOSBY-ELSEVIER2019

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Alexandre Emmanuel Grandchamp, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHIP experiment will be able to search for new long-lived particles produced in a 400 GeV/c SPS proton beam ...

IOP PUBLISHING LTD2019

Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

Lesya Shchutska, Aurelio Bay, Guido Haefeli, Elena Graverini, Alexey Boyarsky, Sun Hee Kim, Federico Leo Redi, Maria Elena Stramaglia, Oleg Ruchayskiy, Nikolaos Charitonidis, Sebastian Gerlach, Inar Timiryasov, Jean-Loup Tastet, Ana Bárbara Rodrigues Cavalcante, Ekaterina Kuznetsova, Hans Dijkstra, Anton Petrov, Sergei Smirnov

This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400~GeV

/c

SPS proton be ...

2019

British Red Squirrels Remain the Only Known Wild Rodent Host for Leprosy Bacilli

Stewart Cole, Charlotte Avanzi, Philippe Busso

Eurasian red squirrels (Sciurus vulgaris) in the British Isles are the most recently discovered animal reservoir for the leprosy bacteria Mycobacterium leprae and Mycobacterium lepromatosis. Initial data suggest that prevalence of leprosy infection is vari ...

FRONTIERS MEDIA SA2019

Impact of Mineralogical Composition on Geotechnical Properties of Opalinus Clay

Lyesse Laloui, Alessio Ferrari, Eleonora Crisci

Opalinus Clay is the selected host geomaterial for the construction of underground geological disposals for radioactive waste in Switzerland. The formation has been studied in several sites, i.e. the Mont Terri laboratory, and several boreholes in the nort ...

2019

Stochastic vs. sensitivity-based integral parameter and nuclear data adjustments

Andreas Pautz, Mathieu Hursin, Dimitri Rochman, Daniel Jerôme Siefman

Developments in data assimilation theory allow to adjust integral parameters and cross sections with stochastic sampling. This work investigates how two stochastic methods, MOCABA and BMC, perform relative to a sensitivity-based methodology called GLLS. St ...

SPRINGER HEIDELBERG2018

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

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Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks

/c

SPS proton be ...

2019