Ninon Burgos
Orcid: 0000-0002-4668-2006
According to our database1,
Ninon Burgos
authored at least 49 papers
between 2013 and 2024.
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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
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET.
CoRR, 2024
2023
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse.
Medical Image Anal., October, 2023
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Leveraging healthy population variability in deep learning unsupervised anomaly detection in brain FDG PET.
CoRR, 2023
Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data.
CoRR, 2023
How can data augmentation improve attribution maps for disease subtype explainability.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Exploiting hospital data warehouses: the challenges of image quality and heterogeneity (Conference Presentation).
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Semi-supervised Domain Adaptation for Automatic Quality Control of FLAIR MRIs in a Clinical Data Warehouse.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Automatic quality control of brain T1-weighted magnetic resonance images for a clinical data warehouse.
Medical Image Anal., 2022
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI.
CoRR, 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
Individualised, interpretable and reproducible computer-aided diagnosis of dementia: towards application in clinical practice.
, 2022
2021
Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease.
Neuroinformatics, 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
Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
NeuroImage, 2018
Frontiers Neuroinformatics, 2018
Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease.
CoRR, 2018
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data.
CoRR, 2018
2017
Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data.
IEEE Trans. Medical Imaging, 2017
A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.
NeuroImage, 2017
Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries.
Medical Image Anal., 2015
Int. J. Comput. Assist. Radiol. Surg., 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies.
IEEE Trans. Medical Imaging, 2014
Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Simulated Field Maps: Toward Improved Susceptibility Artefact Correction in Interventional MRI.
Proceedings of the Information Processing in Computer-Assisted Interventions, 2014
2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013