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Meritxell Bach Cuadra

Cette personne a quitté l’EPFL

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Publications associées (112)

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A multi-scale probabilistic atlas of the human connectome

Meritxell Bach Cuadra, Patric Hagmann, Alessandra Griffa, Maxime Descoteaux

The human brain is a complex system that can be efficiently represented as a network of structural connectivity. Many imaging studies would benefit from such network information, which is not always available. In this work, we present a whole-brain multi-s ...

NATURE PORTFOLIO2022

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

Meritxell Bach Cuadra, Rizhong Lin

Diffusion Magnetic Resonance Imaging (dMRI) is a powerful non-invasive method for studying white matter tracts of the brain. However, accurate microstructure estimation with fiber orientation distribution (FOD) using existing computational methods requires ...

Springer2023

Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders

Meritxell Bach Cuadra, Gabriel Girard, Erick Jorge Canales Rodriguez, Thomas Yu

Diffusion MRI (dMRI) of the developing brain can provide valuable insights into the white matter development. However, slice thickness in fetal dMRI is typically high (i.e., 3-5 mm) to freeze the in-plane motion, which reduces the sensitivity of the dMRI s ...

SPRINGER INTERNATIONAL PUBLISHING AG2022

Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour Framework

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

This paper presents the segmentation of bilateral parotid glands in the Head and Neck (H&N) CT images using an active contour based atlas registration. We compare segmentation results from three atlas selection strategies: (i) selection of “single-most-sim ...

2010

Improved susceptibility-weighted imaging for high contrast and resolution thalamic nuclei mapping at 7T

Meritxell Bach Cuadra, Constantin Tuleasca, José Pedro Rebelo Ferreira Marques, Daniel Gallichan, João Pedro Forjaco Jorge, Frédéric Gretsch

Purpose The thalamus is an important brain structure and neurosurgical target, but its constituting nuclei are challenging to image non-invasively. Recently, susceptibility-weighted imaging (SWI) at ultra-high field has shown promising capabilities for tha ...

Wiley2020

Model-based Segmentation and Image Fusion of 3D Computed Tomography and 3D Ultrasound of the Eye for Radiotherapy Planning

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

For radiotherapy treatment planning of retinoblastoma in childhood, Computed Tomography (CT) represents the standard method for tumor volume delineation, despite some inherent limitations. CT scan is very useful in providing information on physical density ...

2009

Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction

Meritxell Bach Cuadra

We present a novel method for higher order reconstruction of fetal diffusion MRI signal that enables detection of fiber crossings. We combine data-driven motion and intensity correction with super-resolution reconstruction and spherical harmonic parametris ...

Institute of Electrical and Electronics Engineers2020

Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging

Meritxell Bach Cuadra, Francesco La Rosa

Damage to the myelin sheath and the neuroaxonal unit is a cardinal feature of multiple sclerosis; however, a detailed characterization of the interaction between myelin and axon damage in vivo remains challenging. ...

OXFORD UNIV PRESS2021

Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study

Meritxell Bach Cuadra, Thomas Sanchez

Quality assessment (QA) has long been considered essential to guarantee the reliability of neuroimaging studies. It is particularly important for fetal brain MRI, where unpredictable fetal motion can lead to substantial artifacts in the acquired images. Mu ...

Springer Science and Business Media Deutschland GmbH2025

Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut

Jean-Philippe Thiran, Meritxell Bach Cuadra, Xavier Bresson, Olivier Cuisenaire, Nawal Houhou, Anca-Ramona Ciurte

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the ...

Public Library Science2014

Fast Bias Field Correction for 9.4 Tesla Magnetic Resonance Imaging

Jean-Philippe Thiran, Rolf Gruetter, Murat Kunt, Meritxell Bach Cuadra, Nicolas Kunz, Nathalie Just

In this paper the problem of intensity inhomogeneity at high magnetic field on magnetic resonance images is addressed. Specifically, rat brain images at 9.4T acquired with a surface coil are bias corrected. We propose a low- pass frequency model that takes ...

2008

A Multicenter Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients

Tobias Kober, Meritxell Bach Cuadra, Cristina Granziera, Bénédicte Marie Maréchal, Muhamed Barakovic, Ricardo Alberto Corredor Jerez, Lester Melie Garcia

BackgroundDetecting new and enlarged lesions in multiple sclerosis (MS) patients is needed to determine their disease activity. LeMan-PV is a software embedded in the scanner reconstruction system of one vendor, which automatically assesses new and enlarge ...

WILEY2023

On the Convergence of EM-Like Algorithms for Image Segmentation using Markov Random Fields

Meritxell Bach Cuadra, Gunnar Krüger, Alexis Roche, Delphine Ribes Lemay

Inference of Markov random field images segmentation models is usually performed using iterative methods which adapt the well-known expectation-maximization (EM) algorithm for independent mixture models. However, some of these adaptations are ad-hoc and ma ...

2011

Comparison and Validation of Tissue Modelization and Statistical Classification Methods in T1-weighted MR Brain Images

Jean-Philippe Thiran, Meritxell Bach Cuadra, Leila Cammoun, Leila Faiza Ben Hamida Cammoun, Olivier Cuisenaire, Torsten Butz

This paper presents a validation study on statistical non-supervised brain tissue classification techniques in MR images. Several image models assuming different hypotheses regarding the intensity distribution model, the spatial model and the number of cla ...

Institute of Electrical and Electronics Engineers2005

Fluid and White Matter Suppression contrasts MRI improves Deep Learning detection of Multiple Sclerosis Cortical Lesions

Nataliia Molchanova, Meritxell Bach Cuadra

Purpose: To investigate the efficacy of Fluid and White Matter Suppression (FLAWS) MRI sequence in improving Deep Learning (DL)-based detection and segmentation of cortical lesions in Multiple Sclerosis (MS) patients even, and to develop models that can ge ...

2025

GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation

Meritxell Bach Cuadra, Francesco La Rosa

Conventional magnetic resonance imaging (cMRI) in multiple sclerosis (MS) patients provides measures of focal brain damage and activity, which are fundamental for disease diagnosis, prognosis, and the evaluation of response to therapy. However, cMRI is ins ...

FRONTIERS MEDIA SA2021

A roadmap towards standardized neuroimaging approaches for human thalamic nuclei

Meritxell Bach Cuadra

The thalamus has a key role in mediating cortical–subcortical interactions but is often neglected in neuroimaging studies, which mostly focus on changes in cortical structure and activity. One of the main reasons for the thalamus being overlooked is that t ...

2024

Regional cortical volumes and congenital heart disease: a MRI study in 22q11.2 deletion syndrome

Jean-Philippe Thiran, Meritxell Bach Cuadra, Maude Schneider, Marie Schaer

Children with congenital heart disease (CHD) who survive surgery often present impaired neurodevelopment and qualitative brain anomalies. However, the impact of CHD on total or regional brain volumes only received little attention. We address this question ...

2010

Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model

Meritxell Bach Cuadra

Ophthalmologists typically acquire different image modalities to diagnose eye pathologies. They comprise, e.g., Fundus photography, optical coherence tomography, computed tomography, and magnetic resonance imaging (MRI). Yet, these images are often complem ...

Ieee-Inst Electrical Electronics Engineers Inc2015

A Novel Spatial-Angular Domain Regularisation Approach for Restoration of Diffusion MRI

Jean-Philippe Thiran, Meritxell Bach Cuadra, Alessandro Daducci

In this paper we tackle the problem of regularisation for inverse problems in single shell diffusion weighted image restoration. Our aim is to recover a high-resolution and denoised DWI signal, prior to any model fitting. The main contribution of our metho ...

SPRINGER-VERLAG BERLIN2019