Publications related to False positive rate

Learning Context Cues for Synapse Segmentation in EM Volumes

Pascal Fua, Graham Knott, Carlos Joaquin Becker, Karim Ali

We present a new approach for the automated segmentation of excitatory synapses in image stacks acquired by electron microscopy. We rely on a large set of image features specifically designed to take spatial context into account and train a classifier that ...

2012

A comprehensive error rate for multiple testing

Jean-Philippe Thiran, Stephan Morgenthaler, Djalel Eddine Meskaldji

In multiple testing, a variety of control metrics have been introduced such as the family-wise error rate (FWER), the False Discovery Rate (FDR), False Exceedence Rate (FER), etc. We found a way to embed these metrics into a continuous family of control me ...

2011

Genetic Association of Recovery from Eating Disorders: The Role of GABA Receptor SNPs

Pierre Magistretti

Follow-up studies of eating disorders (EDs) suggest outcomes ranging from recovery to chronic illness or death, but predictors of outcome have not been consistently identified. We tested 5151 single-nucleotide polymorphisms (SNPs) in approximately 350 cand ...

2011

A comparison of different automated methods for the detection of white matter lesions in MRI data

Ahmed Abdulkadir

White matter hyperintensities (WMH) are the focus of intensive research and have been linked to cognitive impairment and depression in the elderly. Cumbersome manual outlining procedures make research on WMH labour intensive and prone to subjective bias. T ...

Elsevier2011

Adaptive Strategy for the Statistical Analysis of Connectomes

Jean-Philippe Thiran, Stephan Morgenthaler, Reto Meuli, Patric Hagmann, Djalel Eddine Meskaldji, Leila Cammoun

We study an adaptive statistical approach to analyze brain networks represented by brain connection matrices of interregional connectivity (connectomes). Our approach is at a middle level between a global analysis and single connections analysis by conside ...

Public Library of Science2011

Netscope: Practical Network Loss Tomography

Patrick Thiran, Xuan Hung Nguyen, Maciej Kurant, Denisa Gabriela Ghita

We present Netscope, a tomographic technique that infers the loss rates of network links from unicast end-to-end measurements. Netscope uses a novel combination of first- and second-order moments of end-to-end measurements to identify and characterize the ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Endoscopic Fluorescence Imaging

Blaise Lovisa

Since several decades, the physicians are able to access hollow organs with endoscopic methods, which serve both as diagnostic and surgical means in a wide range of disciplines of the modern medicine (e.g. urology, pneumology, gastroenterology). Unfortunat ...

EPFL2010

Statistical Recoupling Prior to Significance Testing in Nuclear Magnetic Resonance Based Metabonomics

David Lyndon Emsley

Significance testing is a crucial step in metabolic biomarker recovery from the metabolome-wide latent variables computed by multivariate statistical analysis. In this study we propose an algorithm based on the landscape of the covariance/correlation ratio ...

AMER CHEMICAL SOC2009

Noise-Resilient Group Testing: Limitations and Constructions

Mahdi Cheraghchi Bashi Astaneh

We study combinatorial group testing schemes for learning

d

-sparse boolean vectors using highly unreliable disjunctive measurements. We consider an adversarial noise model that only limits the number of false observations, and show that any noise-resilie ...

Springer2009

Bladder cancer detection by fluorescence imaging with Hexvix®: Analysis and processing of images obtained during high magnification cystoscopy

Hubert van den Bergh, Georges Wagnières, Blaise Lovisa

Fluorescence cystoscopy has been recently acknowledged as a useful method to detect early superficial bladder cancer, even flat lesions. After the instillation of hexaminolevulinic acid (Hexvix®) in the bladder for about an hour, photoactivable porphyrins ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2009

False positive rate

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Learning Context Cues for Synapse Segmentation in EM Volumes

A comprehensive error rate for multiple testing

Genetic Association of Recovery from Eating Disorders: The Role of GABA Receptor SNPs

A comparison of different automated methods for the detection of white matter lesions in MRI data

Adaptive Strategy for the Statistical Analysis of Connectomes

Netscope: Practical Network Loss Tomography

Endoscopic Fluorescence Imaging

Statistical Recoupling Prior to Significance Testing in Nuclear Magnetic Resonance Based Metabonomics

Noise-Resilient Group Testing: Limitations and Constructions

Bladder cancer detection by fluorescence imaging with Hexvix®: Analysis and processing of images obtained during high magnification cystoscopy

Genetic Association of Recovery from Eating Disorders: The Role of GABA Receptor SNPs

A comparison of different automated methods for the detection of white matter lesions in MRI data

Statistical Recoupling Prior to Significance Testing in Nuclear Magnetic Resonance Based Metabonomics

Learning Context Cues for Synapse Segmentation in EM Volumes

A comprehensive error rate for multiple testing

Netscope: Practical Network Loss Tomography

Endoscopic Fluorescence Imaging

Adaptive Strategy for the Statistical Analysis of Connectomes

Noise-Resilient Group Testing: Limitations and Constructions

Bladder cancer detection by fluorescence imaging with Hexvix®: Analysis and processing of images obtained during high magnification cystoscopy