Benjamin Lambert

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 15

Top Topics

Prediction Intervals

Brain Mr Images

Medical Image Analysis

Tumor Segmentation

Top Venues

Artif. Intell. Medicine

Publications

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
Robust Conformal Volume Estimation in 3D Medical Images. CoRR (2024)
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 (2024)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI (2023)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
Multi-layer Aggregation as a key to feature-based OOD detection. CoRR (2023)
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)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI (2023)
Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR (2023)
Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR (2023)
Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR (2022)
Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI (2022)
Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR (2022)
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 (2022)
Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR (2021)
Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI (2021)
Benjamin Lambert, Ning Jiang
Surface Potential Phase Discrimination of Bereitschaftspotentials. SMC (2019)
Benjamin Lambert, Bhiksha Raj, Rita Singh
Discriminatively trained dependency language modeling for conversational speech recognition. INTERSPEECH (2013)
Benjamin Lambert, Rita Singh, Bhiksha Raj
Creating a linguistic plausibility dataset with non-expert annotators. INTERSPEECH (2010)
Rita Singh, Benjamin Lambert, Bhiksha Raj
The use of sense in unsupervised training of acoustic models for ASR systems. INTERSPEECH (2010)
Benjamin Lambert, David G. Long
Monitoring Changes in the Antarctic Ice Sheet from 1978 to 2007. IGARSS (4) (2008)
Benjamin Lambert, Scott E. Fahlman
Knowledge-Driven Learning and Discovery. AAAI (2007)
Alicia Tribble, Benjamin Lambert, Scott E. Fahlman
SconeEdit: A Text-guided Domain Knowledge Editor. HLT-NAACL (2006)