Publications related to Adaptive phase correction of diffusion-weighted images

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

Daniel Gatica-Perez, Jean-Marc Odobez, Rui Hu

We present a system for automatically extracting hieroglyph strokes from images of degraded ancient Maya codices. Our system adopts a region-based image segmentation framework. Multi-resolution super-pixels are first extracted to represent each image. A Su ...

2017

An Ultra-High Field Study of Cerebellar Pathology in Early Relapsing-Remitting Multiple Sclerosis Using MP2RAGE

Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Alexis Roche, Guillaume Bonnier, Mario Joao Fartaria de Oliveira, Kieran O'Brien, Pavel Falkovskiy

Objectives: The aim of this study was to study focal cerebellar pathology in early stages of multiple sclerosis (MS) using ultra-high-field magnetization-prepared 2 inversion-contrast rapid gradient-echo (7T MP2RAGE). Materials and Methods: Twenty early-st ...

Lippincott, Williams & Wilkins2017

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Alessandro Daducci, Lester Melie Garcia

Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assume a zero-mean Gaussian distribution for the underlying noise, its real distr ...

Public Library of Science2015

Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

Vassily Hatzimanikatis, Julien Racle, Adam Stefaniuk

Noise in genetic networks has been the subject of extensive experimental and computational studies. However, very few of these studies have considered noise properties using mechanistic models that account for the discrete movement of ribosomes and RNA pol ...

Amer Inst Physics2015

Recent trends in low-frequency noise reduction techniques for integrated circuits

Christian Enz, Assim Boukhayma

This paper presents the two main circuit techniques, namely autozeroing (AZ) and chopper stabilization (CS), that are used to reduce the 1/f noise and offset in amplifiers typically used in sensor electronics interfaces. After recalling their main properti ...

2015

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite-dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

2015

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Fabio Nobile, Giovanni Migliorati

We study the accuracy of the discrete least-squares approximation on a finite dimensional space of a real-valued target function from noisy pointwise evaluations at independent random points distributed according to a given sampling probability measure. Th ...

MATHICSE2015

Robust Microphone Placement for Source Localization from Noisy Distance Measurements

Hervé Bourlard, Philip Neil Garner, Afsaneh Asaei, Mohammadjavad Taghizadeh, Saeid Haghighatshoar

We propose a novel algorithm to design an optimum array geometry for source localization inside an enclosure. We assume a square-law decay propagation model for the sound acquisition so that the additive noise on the measured source-microphone distances is ...

2015

How to Sequentialize Independent Parallel Attacks? - Biased Distributions Have a Phase Transition

Serge Vaudenay, Sonia Mihaela Bogos

We assume a scenario where an attacker can mount several independent attacks on a single CPU. Each attack can be run several times in independent ways. Each attack can succeed after a given number of steps with some given and known probability. A natural q ...

2015

Adaptive phase correction of diffusion-weighted images

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Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

An Ultra-High Field Study of Cerebellar Pathology in Early Relapsing-Remitting Multiple Sclerosis Using MP2RAGE

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization

Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

Recent trends in low-frequency noise reduction techniques for integrated circuits

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Robust Microphone Placement for Source Localization from Noisy Distance Measurements

How to Sequentialize Independent Parallel Attacks? - Biased Distributions Have a Phase Transition

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization

Recent trends in low-frequency noise reduction techniques for integrated circuits

Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Noise analysis of genome-scale protein synthesis using a discrete computational model of translation

MATHICSE Technical Report : Convergence estimates in probability and in expectation for discrete least squares with noisy evaluations at random points

Robust Microphone Placement for Source Localization from Noisy Distance Measurements

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

An Ultra-High Field Study of Cerebellar Pathology in Early Relapsing-Remitting Multiple Sclerosis Using MP2RAGE

How to Sequentialize Independent Parallel Attacks? - Biased Distributions Have a Phase Transition