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Meritxell Bach Cuadra

Cette personne a quitté l’EPFL

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Publications associées (112)

Page 2 sur 6

Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom

Meritxell Bach Cuadra, Gabriel Girard, Erick Jorge Canales Rodriguez, Marco Pizzolato

Diffusion Magnetic Resonance Imaging (dMRI) has become widely used to study in vivo white matter tissue properties noninvasively. However, fetal dMRI is greatly limited in Signal-to-Noise ratio and spatial resolution. Due to the uncontrollable fetal motion ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Meritxell Bach Cuadra, Xavier Bresson, Anca-Ramona Ciurte

This paper presents the evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012. The challenge was set to ...

Institute of Electrical and Electronics Engineers2014

An Efficient Segmentation Method for Ultrasound Images based on a Semi-supervised Approach and Patch-based Features

Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Alessia Pica, Nawal Houhou, Anca-Ramona Ciurte

Segmenting ultrasound images is a challenging problem where standard unsupervised segmentation methods such as the well-known Chan-Vese method fail. We propose in this paper an efficient segmentation method for this class of images. Our proposed algorithm ...

2011

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains

Jean-Philippe Thiran, Meritxell Bach Cuadra, Rizhong Lin

Deep learning models have shown great promise in estimating tissue microstructure from limited diffusion magnetic resonance imaging data. However, these models face domain shift challenges when test and train data are from different scanners and protocols, ...

IEEE2024

Congenital heart disease affects local gyrification in 22q11.2 deletion syndrome

Jean-Philippe Thiran, Meritxell Bach Cuadra, Marie Schaer

22q11.2 deletion syndrome (22q11.2DS) is a common genetic condition associated with cognitive and learning impairments. In this study, we applied a threedimensional method for quantifying gyrification at thousands of points over the cortical surface to ima ...

Wiley-Blackwell2009

In-vivo probabilistic atlas of human thalamic nuclei based on diffusion-weighted magnetic resonance imaging

Jean-Philippe Thiran, Meritxell Bach Cuadra, Patric Hagmann, Maxime Descoteaux

The thalamic nuclei are involved in many neurodegenerative diseases and therefore, their identification is of key importance in numerous clinical treatments. Automated segmentation of thalamic subparts is currently achieved by exploring diffusion-weighted ...

NATURE PUBLISHING GROUP2018

Time-Varying Segmentation for Mapping of Land Cover Changes

Jean-Philippe Thiran, Meritxell Bach Cuadra

Among all satellite imaging systems, Synthetic Aperture Radar (SAR) is useful for monitoring purposes, as they provide data at any time under all weather conditions. Today, three spaceborne SAR systems are operational, while by the end of 2007 three furthe ...

2007

Dense Deformation Field Estimation for Atlas-based Segmentation of Pathological MR Brain Images

Jean-Philippe Thiran, Meritxell Bach Cuadra, Valérie Duay

Atlas registration is a recognized paradigm for the automatic segmentation of normal MR brain images. Unfortunately, atlas-based segmentation has been of limited use in presence of large space-occupying lesions. In fact, brain deformations induced by such ...

2006

Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma

Jean-Philippe Thiran, Meritxell Bach Cuadra, Raphael Sznitman, Alessia Pica

Purpose: Proper delineation of ocular anatomy in 3-dimensional (3D) imaging is a big challenge, particularly when developing treatment plans for ocular diseases. Magnetic resonance imaging (MRI) is presently used in clinical practice for diagnosis confirma ...

Elsevier Science Inc2015

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

Jean-Philippe Thiran, Meritxell Bach Cuadra, Cristina Granziera, Muhamed Barakovic, Francesco La Rosa

The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarker of the disease. They appear in the earliest stages of the illness and have been shown to correlate with the severity of clinical symptoms. However, cortic ...

2020

Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: A multi-reader study

Meritxell Bach Cuadra

Despite the plethora of AI-based algorithms developed for anomaly detection in radiology, subsequent integration into clinical setting is rarely evaluated. In this work, we assess the applicability and utility of an AI-based model for brain aneurysm detect ...

2025

A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms

Jean-Philippe Thiran, Reto Meuli, Meritxell Bach Cuadra, Olivier Cuisenaire, Francisco Javier Sanchez Castro

Validation of image registration algorithms is a difficult task and open-ended problem, usually application-dependent. In this paper we focus on deep brain stimulation (DBS) targeting for the treatment of movement disorders like Parkinson's disease and ess ...

Institute of Electrical and Electronics Engineers2006

Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

In recent years, multi-atlas fusion methods have gained significant attention in medical image segmentation. In this paper, we propose a general Markov Random Field (MRF) based framework that can perform edge-preserving smoothing of the labels at the time ...

2011

Biometry and volumetry in multi-centric fetal brain magnetic resonance imaging: assessing the bias of super-resolution reconstruction

Meritxell Bach Cuadra, Thomas Sanchez

Background: Fetal brain MRI is increasingly used to complement ultrasound imaging. Images are processed using complex super-resolution reconstruction pipelines, which may bias biometric and volumetric measurements. Objective: To assess the consistency of 2 ...

2025

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI

Meritxell Bach Cuadra

To date, several methods have been developed to explain deep learning algorithms for classification tasks. Recently, an adaptation of two of such methods has been proposed to generate instance-level explainable maps in a semantic segmentation scenario, suc ...

Springer2025

A Multi-Contrast MRI Study of Microstructural Brain Damage in Patients with Mild Cognitive Impairment

Meritxell Bach Cuadra, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Alexis Roche, Guillaume Bonnier

Objectives: The aim of this study was to investigate pathological mechanisms underlying brain tissue alterations in mild cognitive impairment (MCI) using multi-contrast 3 T magnetic resonance imaging (MRI). Methods: Forty-two MCI patients and 77 healthy co ...

Elsevier2015

Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes

Meritxell Bach Cuadra, Cristina Granziera, Guillaume Bonnier

Introduction:Changes in cortical and white matter lesion (CL, WML) load are pivotal metrics to diagnose and monitor multiple sclerosis patients. Yet, the relationship between (i) changes in CL/WML load and disease progression and between (ii) changes in CL ...

FRONTIERS MEDIA SA2020

Segmentation of Brain Structures in Presence of a Space-Occupying Lesion

Jean-Philippe Thiran, Meritxell Bach Cuadra, Olivier Cuisenaire

Brain deformations induced by space-occupying lesions may result in unpredictable position and shape of functionally important brain structures. The aim of this study is to propose a method for segmentation of brain structures by deformation of a segmented ...

2005

An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset

Asim Iqbal, Meritxell Bach Cuadra

It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders. To facilitate this analysis, automatic multi-tissue fetal brain segmentation ...

NATURE RESEARCH2021

An Active Contour-based Atlas Registration Model for Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation

Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Valérie Duay, Francisco Javier Sanchez Castro

This paper presents a new non parametric atlas registration framework, derived from the optical flow model and the active contour theory, applied to automatic subthalamic nucleus (STN) targeting in deep brain stimulation (DBS) surgery. In a previous work, ...

Springer Berlin / Heidelberg2008