Concept

False positives and false negatives

Related publications (28)

Label-free Bacteria Quantification in Blood Plasma by a Bioprinted Microarray Based Interferometric Point-of-Care Device

Hatice Altug, Filiz Yesilköy, Alexander Belushkin

Existing clinical methods for bacteria detection lack speed, sensitivity, and, importantly, point-of-care (PoC) applicability. Thus, finding ways to push the sensitivity of clinical PoC biosensing technologies is crucial. Here we report a portable PoC devi ...

AMER CHEMICAL SOC2019

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

Objectives: To evaluate the diagnostic value and characteristic features of FCD epileptogenic zones using a novel sequence called fluid and white matter suppression (FLAWS). ...

ELSEVIER SCI LTD2018

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

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

Reducing false positives in tractography with microstructural and anatomical priors

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

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

The detection of two-component mixture alternatives : Theory and methods

Daria Rukina

In this thesis, we deal with one of the facets of the statistical detection problem. We study a particular type of alternative, the mixture model. We consider testing where the null hypothesis corresponds to the absence of a signal, represented by some kno ...

EPFL2018

Multi-Arm Self-Collision Avoidance: A Sparse Solution for a Big Data Problem

Aude Billard, Seyed Sina Mirrazavi Salehian, Nadia Barbara Figueroa Fernandez

In this work, we propose a data-driven approach for real-time self-collision avoidance in multi-arm systems. The approach consists of modeling the regions in joint-space that lead to collisions via a Self-Collision Avoidance (SCA) boundary and use it as a ...

2018

Obstacle detection for lake-deployed autonomous surface vehicles using RGB imagery

David Andrew Barry, Philippe Olivier Paccaud

We describe and test an obstacle-detection system for small, lake-deployed autonomous surface vehicles (ASVs) that relies on a low-cost, consumer-grade camera and runs on a single-board computer. A key feature of lakes that must be accounted for is the fre ...

2018

Robust, High-Speed Interest Point Matching for Real-Time Applications

Michael Calonder

A typical Computer Vision system needs to process vast amounts of data as captured by one or more cameras, constantly testing the capabilities of today's hardware. Yet such systems face an ever-growing computational load caused by the more and more demandi ...

EPFL2010