Stéphanie Bricq

Assistant Professor, Université de Bourgogne

Joined

December 2021

Names

Stéphanie Bricq (Preferred)

Emails

****@u-bourgogne.fr (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Assistant Professor

Université de Bourgogne (u-bourgogne.fr)

2012 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

Bayesian models

Present

uncertainty

Present

deep learning

Present

cardiac MRI

Present

Publications

Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning
Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau
- Medical Biol. Eng. Comput. 2024
- Readers: Everyone
Deep learning contour-based method for semi-automatic annotation of manufactured objects in electron microscopy images
Isaac Wilfried Sanou, Julien Baderot, Stéphanie Bricq, Yannick Benezeth, Franck Marzani, Sergio Martinez, Johann Foucher
- J. Electronic Imaging 2024
- Readers: Everyone
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge
Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz et al. (20 additional authors not shown)
- IEEE J. Biomed. Health Informatics 2023
- Readers: Everyone
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer
Tewodros Weldebirhan Arega, Stéphanie Bricq, François Le Grand, Alexis Jacquier, Alain Lalande, Fabrice Mériaudeau
- Medical Image Anal. 2023
- Readers: Everyone
Uncertainty-based Quality Controlled T1 Mapping and ECV Analysis using Bayesian Vision Transformer
Tewodros Weldebirhan Arega, Stéphanie Bricq, François Legrand, Alexis Jacquier, Alain Lalande, Fabrice MERIAUDEAU
- Published: 28 Apr 2023, Last Modified: 12 Jun 2023
- MIDL 2023 Short paper track Poster
- Readers: Everyone
Using Uncertainty Information for Kidney Tumor Segmentation
Joffrey Michaud, Tewodros Weldebirhan Arega, Stéphanie Bricq
- KiTS@MICCAI 2023
- Readers: Everyone
Multi-label ocular abnormalities detection with semantic dictionary learning
Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau
- Computer-Aided Diagnosis 2023
- Readers: Everyone
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images
Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau et al. (12 additional authors not shown)
- Published: 01 Jan 2023, Last Modified: 29 Sept 2023
- Medical Image Anal. 2023
- Readers: Everyone
Microaneurysms Detection in Color Fundus Image with Feature-based Background Suppression
Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau
- ICPR 2022
- Readers: Everyone
Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation
Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau
- LAScarQS@MICCAI 2022
- Readers: Everyone

View all 27 publications

Co-Authors

View all 100 co-authors