Olivier Humbert

According to our database1, Olivier Humbert authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Privacy preserving image registration.
Medical Image Anal., 2024

2023
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.
CoRR, 2023

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Proceedings of the International Conference on Machine Learning, 2023

Don't fear the unlabelled: safe semi-supervised learning via debiasing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Don't fear the unlabelled: safe deep semi-supervised learning via simple debiasing.
CoRR, 2022

Learning a confidence score and the latent space of a new supervised autoencoder for diagnosis and prognosis in clinical metabolomic studies.
BMC Bioinform., 2022

Privacy Preserving Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection - an application in metabolomics studies.
BMC Bioinform., 2021

2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018

2017
Novel Deep Convolution Neural Network Applied to MRI Cardiac Segmentation.
CoRR, 2017

Graph cut-based method for segmenting the left ventricle from MRI or echocardiographic images.
Comput. Medical Imaging Graph., 2017

GridNet with Automatic Shape Prior Registration for Automatic MRI Cardiac Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017


  Loading...