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2020 – today
- 2024
[j1]Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat
:
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artif. Intell. Medicine 150: 102830 (2024)- [c13]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) 2024: 633-643 - [i8]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. CoRR abs/2407.19938 (2024) - 2023
- [c12]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI 2023: 32-41 - [c11]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI 2023: 104-114 - [c10]Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 347-356 - [i7]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR abs/2307.15638 (2023) - [i6]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a key to feature-based OOD detection. CoRR abs/2307.15647 (2023) - [i5]Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR abs/2308.11969 (2023) - 2022
- [c9]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI 2022: 61-70 - [i4]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR abs/2209.10877 (2022) - [i3]Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat:
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR abs/2210.03736 (2022) - [i2]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR abs/2211.05421 (2022) - 2021
- [c8]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI 2021: 187-190 - [i1]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR abs/2101.10674 (2021)
2010 – 2019
- 2019
- [c7]Benjamin Lambert, Ning Jiang:
Surface Potential Phase Discrimination of Bereitschaftspotentials. SMC 2019: 3598-3602 - 2013
- [c6]Benjamin Lambert, Bhiksha Raj, Rita Singh:
Discriminatively trained dependency language modeling for conversational speech recognition. INTERSPEECH 2013: 3414-3418 - 2010
- [c5]Benjamin Lambert, Rita Singh, Bhiksha Raj:
Creating a linguistic plausibility dataset with non-expert annotators. INTERSPEECH 2010: 1906-1909 - [c4]Rita Singh, Benjamin Lambert, Bhiksha Raj:
The use of sense in unsupervised training of acoustic models for ASR systems. INTERSPEECH 2010: 2938-2941
2000 – 2009
- 2008
- [c3]Benjamin Lambert, David G. Long:
Monitoring Changes in the Antarctic Ice Sheet from 1978 to 2007. IGARSS (4) 2008: 335-338 - 2007
- [c2]Benjamin Lambert, Scott E. Fahlman:
Knowledge-Driven Learning and Discovery. AAAI 2007: 1880-1881 - 2006
- [c1]Alicia Tribble, Benjamin Lambert, Scott E. Fahlman:
SconeEdit: A Text-guided Domain Knowledge Editor. HLT-NAACL 2006
Coauthor Index
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