SconeEdit: A Text-guided Domain Knowledge Editor. - Alicia Tribble; Benjamin Lambert; Scott E. Fahlman (HLT-NAACL, 2006)

Knowledge-Driven Learning and Discovery. - Benjamin Lambert; Scott E. Fahlman (AAAI, 2007)

Monitoring Changes in the Antarctic Ice Sheet from 1978 to 2007. - Benjamin Lambert; David G. Long (IGARSS (4), 2008)

Creating a linguistic plausibility dataset with non-expert annotators. - Benjamin Lambert; Rita Singh; Bhiksha Raj (INTERSPEECH, 2010)

The use of sense in unsupervised training of acoustic models for ASR systems. - Rita Singh; Benjamin Lambert; Bhiksha Raj (INTERSPEECH, 2010)

Discriminatively trained dependency language modeling for conversational speech recognition. - Benjamin Lambert; Bhiksha Raj; Rita Singh (INTERSPEECH, 2013)

Surface Potential Phase Discrimination of Bereitschaftspotentials. - Benjamin Lambert; Ning Jiang 001 (SMC, 2019)

Leveraging 3d Information In Unsupervised Brain Mri Segmentation. - Benjamin Lambert; Maxime Louis; Senan Doyle; Florence Forbes; Michel Dojat; Alan Tucholka (ISBI, 2021)

Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. - Benjamin Lambert; Florence Forbes; Senan Doyle; Alan Tucholka; Michel Dojat (iMIMIC@MICCAI, 2022)

Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. - Benjamin Lambert; Florence Forbes; Alan Tucholka; Senan Doyle; Harmonie Dehaene; Michel Dojat (CoRR, 2022)

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. - Benjamin Lambert; Florence Forbes; Senan Doyle; Alan Tucholka; Michel Dojat (CoRR, 2022)

TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (UNSURE@MICCAI, 2023)

Multi-layer Aggregation as a Key to Feature-Based OOD Detection. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (UNSURE@MICCAI, 2023)

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. - Benjamin Lambert; Pauline Roca; Florence Forbes; Senan Doyle; Michel Dojat (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Robust Conformal Volume Estimation in 3D Medical Images. - Benjamin Lambert; Florence Forbes; Senan Doyle; Michel Dojat (MICCAI (10), 2024)

Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. - Benjamin Lambert; Florence Forbes; Senan Doyle; Harmonie Dehaene; Michel Dojat (Artif. Intell. Medicine, 2024)

Quantification et caractérisation de l'incertitude de segmentation d'images médicales pardes réseaux profonds. (Quantifying and understanding uncertainty in deep-learning-based medical image segmentation). - Benjamin Lambert (2024)