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Benjamin Lambert
Benjamin Lambert
Grenoble Institut des Neurosciences
在 univ-grenoble-alpes.fr 的电子邮件经过验证 - 首页
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引用次数
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Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
B Lambert, F Forbes, S Doyle, H Dehaene, M Dojat
Artificial Intelligence in Medicine, 102830, 2024
392024
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust
B Lambert, F Forbes, S Doyle, A Tucholka, M Dojat
International Workshop on Interpretability of Machine Intelligence in …, 2022
52022
Fast uncertainty quantification for deep learning-based mr brain segmentation
B Lambert, F Forbes, S Doyle, A Tucholka, M Dojat
EGC 2022-Conference francophone pour l'Extraction et la Gestion des …, 2022
52022
Improving uncertainty-based out-of-distribution detection for medical image segmentation
B Lambert, F Forbes, S Doyle, A Tucholka, M Dojat
arXiv preprint arXiv:2211.05421, 2022
42022
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images
B Lambert, F Forbes, S Doyle, M Dojat
International Workshop on Uncertainty for Safe Utilization of Machine …, 2023
32023
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification
B Lambert, P Roca, F Forbes, S Doyle, M Dojat
International Conference on Medical Image Computing and Computer-Assisted …, 2023
22023
Leveraging 3D information in unsupervised brain MRI segmentation
B Lambert, M Louis, S Doyle, F Forbes, M Dojat, A Tucholka
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 187-190, 2021
22021
Multi-layer Aggregation as a key to feature-based OOD detection
B Lambert, F Forbes, S Doyle, M Dojat
International Workshop on Uncertainty for Safe Utilization of Machine …, 2023
12023
Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation
B Lambert, F Forbes, A Tucholka, S Doyle, M Dojat
ISMRM-ESMRMB & ISMRT 2022-31st Joint Annual Meeting International Society …, 2022
12022
Robust Conformal Volume Estimation in 3D Medical Images
B Lambert, F Forbes, S Doyle, M Dojat
arXiv preprint arXiv:2407.19938, 2024
2024
Check for updates TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images
B Lambert, F Forbes, S Doyle, M Dojat¹
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th …, 2023
2023
Intervalles de confiance pour l'estimation de superficies à partir d'images satellitaires
B Lambert, F Forbes, S Doyle, A Tucholka, M Dojat
GRETSI 2023-XXIXème Colloque Francophone de Traitement du Signal et des …, 2023
2023
Uncertainty-based Quality Control for Subcortical Structures Segmentation in T1-weighted Brain MRI
B Lambert, F Forbes, S Doyle, A Tucholka, M Dojat
ISMRM 2023-International Society for Magnetic Resonance in Medicine, 1-4, 2023
2023
Safety-Net: Identification automatique des erreurs de segmentation des lésions de la Sclérose-en-Plaques
B Lambert, F Forbes, S Doyle, A Tucholka, M Dojat
SFRMBM 2023-6ème Congrès Scientifique de la Société Française de Résonance …, 2023
2023
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