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Senan Doyle

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
2014 · Bjoern H. Menze, Andras Jakab, et al. · IEEE Transactions on Medical Imaging · 7,255
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Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis
2024 · Benjamin Lambert, Florence Forbes, et al. · Artificial Intelligence in Medicine · 365
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Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
2018 · Olivier Commowick, Audrey Istace, et al. · Scientific Reports · 314
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Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI
2020 · P. Roca, A. Attye, et al. · Diagnostic and Interventional Imaging · 111
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation
2010 · F. Forbes, S. Doyle, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 39
Ad hoc networking, markov random fields, and decision making
2006 · L.E. Doyle, A.C. Kokaram, et al. · IEEE Signal Processing Magazine · 21
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation
2010 · Forbes, Florence, Doyle, Senan, et al. · HAL · 16
On the difficulty to delimit disease risk hot spots
2012 · M. Charras-Garrido, L. Azizi, et al. · International Journal of Applied Earth Observation and Geoinformation · 13
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation
2022 · Lambert, Benjamin, Forbes, Florence, et al. · arXiv (Cornell University) · 10
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Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification
2023 · Benjamin Lambert, Pauline Roca, et al. · Lecture notes in computer science · 9
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Leveraging 3d Information In Unsupervised Brain Mri Segmentation
2021 · Benjamin Lambert, Maxime Louis, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 9
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Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation
2018 · Senan Doyle, Florence Forbes, et al. · Lecture notes in computer science · 9
Multi-layer Aggregation as a Key to Feature-Based OOD Detection
2023 · Benjamin Lambert, Florence Forbes, et al. · Lecture notes in computer science · 8
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Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust
2022 · Benjamin Lambert, Florence Forbes, et al. · Lecture notes in computer science · 7
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Robust Conformal Volume Estimation in 3D Medical Images
2024 · Benjamin Lambert, Florence Forbes, et al. · Lecture notes in computer science · 6
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PRIMUS: a precision medicine platform reusing clinical trials and registry data to support treatment selection in multiple sclerosis
2026 · Stanislas Demuth, Igor Faddeenkov, et al. · JAMIA Open · 4
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images
2023 · Benjamin Lambert, Florence Forbes, et al. · Lecture notes in computer science · 3
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Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images
2022 · Thomas Mistral, Pauline Roca, et al. · Frontiers in Neurology · 3
Focal cortical atrophy following transient meningeal enhancement in a progressive multiple sclerosis
2020 · Mickael Bonnan, Paul Money, et al. · Neurological Sciences · 3
Assessment of Tissue Injury in Severe Brain Trauma
2016 · Christophe Maggia, Senan Doyle, et al. · Lecture notes in computer science · 3
Automatic multiple sclerosis lesion segmentation with P-LOCUS
2016 · Senan Doyle, Florence Forbes, et al. · HAL · 3
Spatial Stationarity of Link Statistics in Mobile Ad Hoc Network Modelling
2006 · S.J. Doyle, T.K. Forde, et al. · Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems · 3
Fast Uncertainty Quantification for Deep Learning-based MR Brain Segmentation
2022 · Lambert, Benjamin, Forbes, Florence, et al. · HAL · 2
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes
2018 · Christophe Maggia, Thomas Mistral, et al. · Lecture notes in computer science · 2
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Multi-Scale Evaluation of Uncertainty Quantification Techniques for Deep Learning based MRI Segmentation
2023 · Benjamin Lambert, Florence Forbes, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · 1
Works count: 48
Citation count: 8,220
H-index: 9
I10-index: 9
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