Meritxell Bach Cuadra
Orcid: 0000-0003-2730-4285
According to our database1,
Meritxell Bach Cuadra
authored at least 90 papers
between 2001 and 2024.
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Bibliography
2024
Medical Image Anal., 2024
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study.
Medical Image Anal., 2024
CoRR, 2024
Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains.
CoRR, 2024
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.
CoRR, 2024
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Assessing Data Quality on Fetal Brain MRI Reconstruction: A Multi-site and Multi-rater Study.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
Conflunet: Improving Confluent Lesion Identification In Multiple Sclerosis With Instance Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
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
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
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
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
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
Medical Image Anal., 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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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
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
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
Comput. Methods Programs Biomed., 2014
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
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
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
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
Comput. Methods Programs Biomed., 2009
2008
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
Proceedings of the 2008 16th European Signal Processing Conference, 2008
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
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
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
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
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
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