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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
Benjamin Olivier Lambert, PhD
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Posts
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Blog Post number 1
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portfolio
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publications
Leveraging 3D information in unsupervised brain MRI segmentation
Published in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
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Robust Conformal Volume Estimation in 3D Medical Images
Published in Proceedings of the 2024 Medical Image Computing and Computer Assisted Intervention conference (MICCAI - Early Accepted), 2021
Fast Uncertainty Quantification for Deep Learning-based MR Brain Segmentation
Published in EGC 2022 Conference francophone pour l'Extraction et la Gestion des Connaissances, 2022
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Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation
Published in ISMRM-ESMRMB & ISMRT 2022-31st Joint Annual Meeting International Society for Magnetic Resonance in Medecine, 2022
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Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust
Published in International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, MICCAI 2022, 2022
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Safety-Net: Identification automatique des erreurs de segmentation des lésions de la Sclérose-en-Plaques
Published in Société Française de Résonance Magnétique en Biologie et Médecine, 2023
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Uncertainty-based Quality Control for Subcortical Structures Segmentation in T1-weighted Brain MRI
Published in ISMRM-ESMRMB & ISMRT 2023-32st Joint Annual Meeting International Society for Magnetic Resonance in Medecine, 2023
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Intervalles de confiance pour l’estimation de superficies à partir d’images satellitaires
Published in GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des Images, 2023
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Multi-layer Aggregation as a key to feature-based OOD detection
Published in Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, MICCAI 2023, 2023
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TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
Published in Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, MICCAI 2023, 2023
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Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Published in Artificial Intelligence in Medecine, Vol. 150, 102830, 2024
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Quantifying uncertainty in deep-learning-based medical image segmentation
Published in Thesis, 2024
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talks
Poster on Predictive Intervals for area estimation in satellite images (french) Permalink
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Poster on TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images Permalink
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Slides of my thesis defense - Uncertainty Quantification for Deep Learning-based Medical image segmentation Permalink
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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