Romain Bourcier

Orcid: 0000-0002-6506-4019

According to our database1, Romain Bourcier authored at least 13 papers between 2019 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Along the Circle of Willis.
IEEE J. Biomed. Health Informatics, February, 2026

Mixed-effects additive Bayesian networks for the assessment of ruptured intracranial aneurysms: Insights from multicenter data.
Comput. Biol. Medicine, 2026

2025
Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models.
CoRR, July, 2025

Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection.
CoRR, July, 2025

Building a Synthetic Vascular Model: Evaluation in an Intracranial Aneurysms Detection Scenario.
IEEE Trans. Medical Imaging, March, 2025

2024
A vascular synthetic model for improved aneurysm segmentation and detection via Deep Neural Networks.
CoRR, 2024

Synthetic Vascular Models : Application to Bifurcation Classification and Aneurysm Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis.
Medical Image Anal., October, 2023

2022
Combining machine learning and artery characterization to identify the main bifurcations in 3D vascular trees.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Toward a 3D Arterial Tree Bifurcation Model for Intra-Cranial Aneurysm Detection and Segmentation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020
Characterization of 3D bifurcations in micro-scan and MRA-TOF images of cerebral vasculature for prediction of intra-cranial aneurysms.
Comput. Medical Imaging Graph., 2020

Brain vasculature segmentation based on human perception criteria.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019
3D bifurcations characterization for intra-cranial aneurysms prediction.
Proceedings of the Medical Imaging 2019: Image Processing, 2019


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