Carole Guillevin

According to our database1, Carole Guillevin authored at least 11 papers between 2015 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Unsupervised Multi-class Glioma Segmentation in 3D MRI Using Adaptive Thresholding and Hierarchical Clustering.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2025

2024
Topological 3D reconstruction of multiple anatomical structures from volumetric medical data.
Comput. Graph., 2024

MR Spectroscopy Spectrum Fitting Using a Physically Informed Neural Network.
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

2022
A Hybrid Method for 3D Reconstruction of MR Images.
J. Imaging, 2022

Attention-guided neural network for early dementia detection using MRS data.
Comput. Medical Imaging Graph., 2022

MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain <sup>18</sup>F-FDG PET Imaging.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

MRS-XNet: An Explainable One-Dimensional Deep Neural Network for Magnetic Spectroscopic Data Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2020
DeepMRS: An End-to-End Deep Neural Network for Dementia Disease Detection using MRS Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Assigning a new glioma grade label ground-truth for the BraTS dataset using radiologic criteria.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

2018
Diffuse Low Grade Glioma NMR Assessment for Better Intra-operative Targeting Using Fuzzy Logic.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2015
Non-rigid registration of magnetic resonance imaging of brain.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015


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