Meritxell Bach Cuadra

Orcid: 0000-0003-2730-4285

According to our database1, Meritxell Bach Cuadra authored at least 82 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improving cross-domain brain tissue segmentation in fetal MRI with synthetic data.
CoRR, 2024

2023
Fetal brain tissue annotation and segmentation challenge results.
Medical Image Anal., August, 2023

BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development.
NeuroImage, June, 2023

Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge.
Neuroinformatics, January, 2023

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains.
CoRR, 2023

Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR, 2023

FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control.
CoRR, 2023

Direct segmentation of brain white matter tracts in diffusion MRI.
CoRR, 2023

FetMRQC: Automated Quality Control for Fetal Brain MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Self-Supervised Isotropic Superresolution Fetal Brain MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Domain Generalization in Fetal Brain MRI Segmentation with Multi-Reconstruction Augmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Connectome Mapper 3: A Flexible and Open-Source Pipeline Software for Multiscale Multimodal Human Connectome Mapping.
J. Open Source Softw., 2022

Transfer learning with weak labels from radiology reports: application to glioma change detection.
CoRR, 2022

Shifts 2.0: Extending The Dataset of Real Distributional Shifts.
CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.
CoRR, 2022

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI.
CoRR, 2022

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues.
CoRR, 2022

Spatio-Temporal Motion Correction and Iterative Reconstruction of In-Utero Fetal fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Model-informed machine learning for multi-component T2 relaxometry.
Medical Image Anal., 2021

4D iterative reconstruction of brain fMRI in the moving fetus.
CoRR, 2021

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom.
CoRR, 2021

Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA.
CoRR, 2021

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients.
Comput. Biol. Medicine, 2021

Diagnostic Surveillance of High-Grade Gliomas: Towards Automated Change Detection Using Radiology Report Classification.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom.
Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021

Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction.
IEEE Trans. Medical Imaging, 2020

A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset.
CoRR, 2020

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

2018
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Ocular Structures Segmentation from Multi-sequences MRI Using 3D Unet with Fully Connected CRFs.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
Automated template-based brain localization and extraction for fetal brain MRI reconstruction.
NeuroImage, 2017

Towards an Automated Segmentation of the Ventro-Intermediate Thalamic Nucleus.
Proceedings of the Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, 2017

Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Surface-driven registration method for the structure-informed segmentation of diffusion MR images.
NeuroImage, 2016

Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project.
Frontiers Neuroinformatics, 2016

2015
Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model.
IEEE Trans. Biomed. Eng., 2015

An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.
NeuroImage, 2015

Automatic brain extraction in fetal MRI using multi-atlas-based segmentation.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.
IEEE Trans. Medical Imaging, 2014

MBIS: Multivariate Bayesian Image Segmentation tool.
Comput. Methods Programs Biomed., 2014

Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Weighted Shape-Based Averaging With Neighborhood Prior Model for Multiple Atlas Fusion-Based Medical Image Segmentation.
IEEE Signal Process. Lett., 2013

2012
Evaluation of atlas fusion strategies for segmentation of head and neck lymph nodes for radiotherapy planning.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
On the convergence of EM-like algorithms for image segmentation using Markov random fields.
Medical Image Anal., 2011

Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework.
Medical Image Anal., 2011

A review of atlas-based segmentation for magnetic resonance brain images.
Comput. Methods Programs Biomed., 2011

An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Comparison of energy minimization methods for 3-D brain tissue classification.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Towards a diffusion image processing validation and accuracy prediction framework.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009
Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration.
IEEE J. Sel. Top. Signal Process., 2009

A multidimensional segmentation evaluation for medical image data.
Comput. Methods Programs Biomed., 2009

2008
A Surface-Based Approach to Quantify Local Cortical Gyrification.
IEEE Trans. Medical Imaging, 2008

Bi-planar 2D-to-3D registration in Fourier domain for stereoscopic x-ray motion tracking.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Fast bias field correction for 9.4 tesla magnetic resonance imaging.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Brain surface segmentation of Magnetic Resonance images of the fetus.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Registration of multiple regions derived from the optical flow model and the active contour framework.
Proceedings of the 15th European Signal Processing Conference, 2007

Multimodal Evaluation for Medical Image Segmentation.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006
A Cross Validation Study of Deep Brain Stimulation Targeting: From Experts to Atlas-Based, Segmentation-Based and Automatic Registration Algorithms.
IEEE Trans. Medical Imaging, 2006

Dense deformation field estimation for atlas-based segmentation of pathological MR brain images.
Comput. Methods Programs Biomed., 2006

Dense deformation field estimation for atlas registration using the active contour framework.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images.
IEEE Trans. Medical Imaging, 2005

Segmentation of brain structures in presence of a space-occupying lesion.
NeuroImage, 2005

Cross Validation of Experts Versus Registration Methods for Target Localization in Deep Brain Stimulation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Region-based satellite image classification: method and validation.
Proceedings of the 2005 International Conference on Image Processing, 2005

2004
Atlas-based segmentation of pathological MR brain images using a model of lesion growth.
IEEE Trans. Medical Imaging, 2004

2003
Atlas-based segmentation of pathological brain MR images.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Validation of Tissue Modelization and Classification Techniques in T1-Weighted MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Atlas-Based Segmentation of Pathological Brains Using a Model of Tumor Growth.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

2001
Automatic segmentation of internal structures of the brain in MR images using a tandem of affine and non-rigid registration of an anatomical brain atlas.
Proceedings of the 2001 International Conference on Image Processing, 2001


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