Frédéric Guffens
YOU?
Author Swipe
View article: A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation
A Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation Open
Deep learning models for medical image segmentation can fail unexpectedly and spectacularly for pathological cases and images acquired at different centers than training images, with labeling errors that violate expert knowledge. Such erro…
View article: Distributionally Robust Deep Learning using Hardness Weighted Sampling
Distributionally Robust Deep Learning using Hardness Weighted Sampling Open
Limiting failures of machine learning systems is of paramount importance for safety-critical applications. In order to improve the robustness of machine learning systems, Distributionally Robust Optimization (DRO) has been proposed as a ge…
View article: A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation Open
Deep learning models for medical image segmentation can fail unexpectedly and spectacularly for pathological cases and images acquired at different centers than training images, with labeling errors that violate expert knowledge. Such erro…
View article: Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation Open
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation This repository contains data contributed and used in our MICCAI 2021 paper: Fidon, L. et al. Label-set Loss Functions for Partial Supervision…
View article: Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation Open
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation This repository contains data contributed and used in our MICCAI 2021 paper: Fidon, L. et al. Label-set Loss Functions for Partial Supervision…
View article: Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation Open
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation This repository contains data contributed and used in our MICCAI 2021 paper: Fidon, L. et al. Label-set Loss Functions for Partial Supervision…
View article: Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation Open
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation This repository contains data contributed and used in our MICCAI 2021 paper: Fidon, L. et al. Label-set Loss Functions for Partial Supervision…
View article: Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation Open
Label-set Loss Functions for Partial Supervision: Application to Fetal Brain 3D MRI Parcellation This repository contains data contributed and used in our MICCAI 2021 paper: Fidon, L. et al. Label-set Loss Functions for Partial Supervision…
View article: Distributionally Robust Deep Learning using Hardness Weighted Sampling
Distributionally Robust Deep Learning using Hardness Weighted Sampling Open
Limiting failures of machine learning systems is of paramount importance for safety-critical applications. In order to improve the robustness of machine learning systems, Distributionally Robust Optimization (DRO) has been proposed as a ge…