Elina Thibeau-Sutre
Orcid: 0000-0002-4615-0237
According to our database1,
Elina Thibeau-Sutre
authored at least 17 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Contrast-enhanced to non-contrast-enhanced image translation to exploit a clinical data warehouse of T1-weighted brain MRI.
BMC Medical Imaging, December, 2024
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma.
CoRR, 2024
2023
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
How can data augmentation improve attribution maps for disease subtype explainability.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
2022
ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing.
Comput. Methods Programs Biomed., 2022
Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer's disease from neuroimaging data. (Méthodes d'apprentissage profond reproductibles et interprétables pour le diagnostic, le pronostic et l'identification de sous-groupes de la maladie d'Alzheimer à partir de données de neuroimagerie).
PhD thesis, 2021
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review.
Medical Image Anal., 2021
Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies.
Frontiers Neuroinformatics, 2021
Briefings Bioinform., 2021
2020
Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Medical Image Anal., 2020
Visualization approach to assess the robustness of neural networks for medical image classification.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2019
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation.
CoRR, 2019