Benjamin Lambert

According to our database, Benjamin Lambert authored at least 16 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Robust Conformal Volume Estimation in 3D Medical Images.

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification.

Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Multi-layer Aggregation as a Key to Feature-Based OOD Detection.

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images.

Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation.

Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat

CoRR, 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

Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust.

Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

2021

Leveraging 3d Information In Unsupervised Brain Mri Segmentation.

Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Surface Potential Phase Discrimination of Bereitschaftspotentials.

Benjamin Lambert, Ning Jiang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2013

Discriminatively trained dependency language modeling for conversational speech recognition.

Benjamin Lambert, Bhiksha Raj, Rita Singh

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

2010

The use of sense in unsupervised training of acoustic models for ASR systems.

Rita Singh, Benjamin Lambert, Bhiksha Raj

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Creating a linguistic plausibility dataset with non-expert annotators.

Benjamin Lambert, Rita Singh, Bhiksha Raj

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

2008

Monitoring Changes in the Antarctic Ice Sheet from 1978 to 2007.

Benjamin Lambert, David G. Long

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007

Knowledge-Driven Learning and Discovery.

Benjamin Lambert, Scott E. Fahlman

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

SconeEdit: A Text-guided Domain Knowledge Editor.

Alicia Tribble, Benjamin Lambert, Scott E. Fahlman

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006