Stéphanie Bricq

According to our database, Stéphanie Bricq authored at least 24 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

2023

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, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir

IEEE J. Biomed. Health Informatics, July, 2023

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., May, 2023

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, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang

Medical Image Anal., 2023

Using Uncertainty Information for Kidney Tumor Segmentation.

Joffrey Michaud, Tewodros Weldebirhan Arega, Stéphanie Bricq

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

Multi-label ocular abnormalities detection with semantic dictionary learning.

Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net).

Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stéphanie Bricq, Anis Sakly, Fabrice Mériaudeau

Sensors, 2022

Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022

Microaneurysms Detection in Color Fundus Image with Feature-based Background Suppression.

Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI.

Tewodros Weldebirhan Arega, François Le Grand, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

2020

Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module.

Tewodros Weldebirhan Arega, Stéphanie Bricq

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

2018

Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation.

Stéphanie Bricq, Hiliwi Leake Kidane, Jorge Zavala Bojorquez, Alexandra Oudot, Jean-Marc Vrigneaud, François Brunotte, Paul Michael Walker, Alexandre Cochet, Alain Lalande

Medical Biol. Eng. Comput., 2018

2017

MRI-PET Registration with Automated Algorithm in Pre-clinical Studies.

Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande

CoRR, 2017

2015

Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map.

Jorge Zavala Bojorquez, Stéphanie Bricq, Paul Michael Walker, Alain Lalande

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2012

Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis.

Stéphanie Bricq, Guillaume Mahé, David Rousseau, Anne Humeau-Heurtier, François Chapeau-Blondeau, Julio Rojas Varela, Pierre Abraham

Medical Biol. Eng. Comput., 2012

Study of digital blood pressure and laser Doppler flowmetry signals through a multiscale analysis.

Emmanuelle Guerreschi, Anne Humeau-Heurtier, Stéphanie Bricq, Guillaume Mahé, Georges Leftheriotis

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Brain MRI segmentation and lesion detection using generalized Gaussian and Rician modeling.

Xuqiang Wu, Stéphanie Bricq, Christophe Collet

Proceedings of the Medical Imaging 2011: Image Processing, 2011

2008

Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.

Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach

Medical Image Anal., 2008

Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas.

Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions.

Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach

Proceedings of the International Conference on Image Processing, 2008

3D Brain MRI segmentation based on robust Hidden Markov Chain.

Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach

Proceedings of the IEEE International Conference on Acoustics, 2008

2006

Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas.

Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006