Frédéric Blanc

Affiliations:
  • University of Strasbourg, France


According to our database1, Frédéric Blanc authored at least 12 papers between 2008 and 2022.

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

Timeline

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PhD thesis 
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Bibliography

2022
A study on 3D classical versus GAN-based augmentation for MRI brain image to predict the diagnosis of dementia with Lewy bodies and Alzheimer's disease in a European multi-center study.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2020
The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study.
Medical Image Anal., 2020

2019
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study.
CoRR, 2019

Anomaly Detection in Single Subject vs Group Using Manifold Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2016
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors?
NeuroImage, 2016

Identifying Dynamic Functional Connectivity Changes in Dementia with Lewy Bodies Based on Product Hidden Markov Models.
Frontiers Comput. Neurosci., 2016

2015
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
General linear models for group studies in diffusion tensor imaging.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways.
Medical Image Anal., 2013

2012
Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors.
NeuroImage, 2012

2011
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2008
An a contrario approach for outliers segmentation: Application to Multiple Sclerosis in MRI.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008


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