M. Bach Cuadra

Discipline

Sciences de l'information et de la communication (6) Psychologie (3) Gestion et management (2) Anthropologie biologique (2) Méthodes et statistiques (1)

Type de document

Articles (33) Colloques et conférences (13) Recensions (1)

Co-auteur

Date

Source

Mot-clé

Brain (18) Imaging (18) cerveau (18) Patients (16) Patients (16) tissu (corporel) (15) Magnetic resonance (15) Magnetic resonance imaging (14) Work (13) méthode (12) Methods (12) Multiple sclerosis (12) Human beings (12) Evaluation (12) Methods (12) Magnetic resonance imaging (12) analyse (11) Performance (11) Analysis (11) Performance (11) maladie (10) abords (agglomération) (10) maladie (10) puits (9) diffusion (9) Example (9) Diffusion (9) diffusion (9) spectacle (8) modèle (8)

Documents écrit par M. Bach Cuadra (42) | parle de M. Bach Cuadra (0)

BigBrain-MR: a new digital phantom with anatomically-realistic magnetic resonance properties at 100-µm resolution for magnetic resonance methods development.
C. Sainz Martinez et al.
A Fetal Brain magnetic resonance Acquisition Numerical phantom (FaBiAN).
H. Lajous et al. (23 mai 2022)
Editorial: Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers.
D.M. Sima et al. (2022)
Chronic White Matter Inflammation and Serum Neurofilament Levels in Multiple Sclerosis.
P. Maggi et al. (10 août 2021)
Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging.
R. Rahmanzadeh et al. (28 juil. 2021)
Multi-view convolutional neural networks for automated ocular structure and tumor segmentation in retinoblastoma.
VIJ Strijbis et al. (16 juil. 2021)
An automatic multi-tissue human fetal brain segmentation benchmark using the Fetal Tissue Annotation Dataset.
K. Payette et al. (6 juil. 2021)
Model-informed machine learning for multi-component T2 relaxometry.
T. Yu et al.
GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology.
P.J. Lu et al. (2021)
Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study.
M. Khawam et al. (2021)
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.
P.J. Lu et al. (2021)
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.
P. Maggi et al.
Quantification in Musculoskeletal Imaging Using Computational Analysis and Machine Learning: Segmentation and Radiomics.
M. Bach Cuadra et al.
RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.
G. Barquero et al. (2020)
Evolution of Cortical and White Matter Lesion Load in Early-Stage Multiple Sclerosis: Correlation With Neuroaxonal Damage and Clinical Changes.
R.A. Todea et al. (2020)
Comparison of MRI-based automated segmentation methods and functional neurosurgery targeting with direct visualization of the Ventro-intermediate thalamic nucleus at 7T.
E. Najdenovska et al. (4 févr. 2019)
Longitudinal analysis of white matter and cortical lesions in multiple sclerosis.
M.J. Fartaria et al. (2019)
In-vivo probabilistic atlas of human thalamic nuclei based on diffusion- weighted magnetic resonance imaging.
E. Najdenovska et al. (27 nov. 2018)
Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma.
H.G. Nguyen et al. (15 nov. 2018)
Partial volume-aware assessment of multiple sclerosis lesions.
M.J. Fartaria et al. (2018)
Automated template-based brain localization and extraction for fetal brain MRI reconstruction.
S. Tourbier et al. (15 juil. 2017)
Robust thalamic nuclei segmentation method based on local diffusion magnetic resonance properties.
G. Battistella et al.
Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.
C. Ciller et al. (2017)
Focal cerebellar pathology in early relapsing-remitting multiple sclerosis patients: a MP2RAGE study at 3T and 7T MRI
G. Bonnier et al.
Longitudinal automated detection of white-matter and cortical lesions in relapsing-remitting multiple sclerosis
M. J. Fartaria de Oliveira et al.

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