Concept

Sensitivity and specificity

Related publications (126)

Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: A new sequence called fluid and white matter suppression (FLAWS)

Xin Chen, Tobias Kober, Thomas Yu, Nan Chen

Objectives: To evaluate the diagnostic value and characteristic features of FCD epileptogenic zones using a novel sequence called fluid and white matter suppression (FLAWS). Materials and methods: Thirty-nine patients with pathologically confirmed FCD and ...

ELSEVIER SCI LTD2018

Reducing false positives in tractography with microstructural and anatomical priors

Jean-Philippe Thiran, Gabriel Girard, Alessandro Daducci, Muhamed Barakovic, Maxime Descoteaux

Tractography has proven particularly effective for studying noninvasively the neuronal architecture of the brain but recent studies have showed that the high incidence of false positives can significantly bias any connectivity analysis. We present a novel ...

2018

EEG-based lower-limb movement onset decoding: Continuous classification and asynchronous detection

José del Rocio Millán Ruiz, Mohamed Bouri, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu, Fumiaki Iwane

Brain-machine interfaces (BMIs) have been used to incorporate the user intention to trigger robotic devices by decoding movement onset from electroencephalography (EEG). Active neural participation is crucial to promote brain plasticity thus to enhance the ...

2018

Passive, Active and Loss Tradeoffs in High-Speed Bearingless Motors

Yves Perriard, Douglas Martins Araujo

Material costs and novel applications have directed research interests towards miniaturized, faster rotatory electric drives. The challenges of miniaturization have made magnetic bearings more attractive, which are naturally suited for high speeds and virt ...

2018

Convergence Analysis and Criterion for Data Assimilation with Sensitivities from Monte Carlo Neutron Transport Codes

Andreas Pautz, Mathieu Hursin, Daniel Jerôme Siefman

Sensitivity coefficients calculated with Monte Carlo neutron transport codes are subject to statistical fluctuations. The fluctuations affect parameters that are calculated with the sensitivity coefficients. The convergence study presented here describes t ...

ANS2018

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Jonas Richiardi, Mario Joao Fartaria de Oliveira, Francesco La Rosa

In this work, we present a comparison of a shallow and a deep learning architecture for the automated segmentation of white matter lesions in MR images of multiple sclerosis patients. In particular, we train and test both methods on early stage disease pat ...

Springer2018

Prospective head motion correction using FID-guided on-demand image navigators

Rolf Gruetter, Tobias Kober, Tom Hilbert, Bénédicte Marie Maréchal, Reto Meuli, Guillaume Bonnier, Pavel Falkovskiy, Maryna Volodimirivna Waszak

PURPOSE: We suggest a motion correction concept that employs free-induction-decay (FID) navigator signals to continuously monitor motion and to guide the acquisition of image navigators for prospective motion correction following motion detection. METHODS: ...

Wiley-Blackwell2017

A Non-linear Filter to Detect Atrial Activation from Intracardiac Electrograms

Jean-Marc Vesin, Sasan Yazdani, Andréa Buttu, Etienne Pruvot

Atrial activation (AA) detection during atrial fibrillation (AF) can be considered as a first step in estimating AF characteristics such as the AF cycle length. The detection of AA from intracardiac electrograms (EGM) remains challenging due to the constan ...

2017

Production and Reliability Oriented SOFC Cell and Stack Design

Jan Van Herle, Zacharie Wuillemin, Arata Nakajo, Fabio Greco, Xin Wang

This paper presents an innovative development methodology for a production and reliability oriented SOFC cell and stack design aiming at improving the stacks robustness, manufacturability, efficiency and cost. Multi-physics models allowed a probabilistic a ...

2017

A Robust Capacitive Digital Read-Out Circuit for a Scalable Tactile Skin

Sandro Carrara, Danilo Demarchi

This paper presents a robust, capacitive digital read-out circuit (ROC) for sensitive skin applications in humanoid robots. The ROC can be calibrated to null the parasitic effects of transducer variation due to physical assembly. A prototype is fabricated ...

Institute of Electrical and Electronics Engineers2017

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