Stéphanie Bricq

27 papers B 4Misc 1Journal 12Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Post-hoc out-of-distribution detection for cardiac MRI segmentation. Comput. Medical Imaging Graph. Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau
2024	J	`jnl`	Deep learning contour-based method for semi-automatic annotation of manufactured objects in electron microscopy images. J. Electronic Imaging Isaac Wilfried Sanou, Julien Baderot, Stéphanie Bricq, Yannick Benezeth, Franck Marzani, Sergio Martinez, Johann Foucher
2024	J	`jnl`	Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning. Medical Biol. Eng. Comput. Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau
2023	J	`jnl`	Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer. Medical Image Anal. Tewodros Weldebirhan Arega, Stéphanie Bricq, François Le Grand, Alexis Jacquier, Alain Lalande, Fabrice Mériaudeau
2023	J	`jnl`	Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 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
2023	—	`conf`	Multi-label ocular abnormalities detection with semantic dictionary learning. Computer-Aided Diagnosis Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau
2023	J	`jnl`	MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 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
2023	—	`conf`	Using Uncertainty Information for Kidney Tumor Segmentation. KiTS@MICCAI Joffrey Michaud, Tewodros Weldebirhan Arega, Stéphanie Bricq
2022	J	`jnl`	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). Sensors Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stéphanie Bricq, Anis Sakly, Fabrice Mériaudeau
2022	—	`conf`	Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation. STACOM@MICCAI Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau
2022	B	`conf`	Microaneurysms Detection in Color Fundus Image with Feature-based Background Suppression. ICPR Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau
2022	J	`jnl`	MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR 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
2022	—	`conf`	Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation. LAScarQS@MICCAI Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau
2021	—	`conf`	Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR. UNSURE/PIPPI@MICCAI Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau
2021	—	`conf`	Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI. STACOM@MICCAI Tewodros Weldebirhan Arega, François Le Grand, Stéphanie Bricq, Fabrice Mériaudeau
2020	—	`conf`	Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module. MyoPS@MICCAI Tewodros Weldebirhan Arega, Stéphanie Bricq
2018	J	`jnl`	Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. Medical Biol. Eng. Comput. Stéphanie Bricq, Hiliwi Leake Kidane, Jorge Zavala Bojorquez, Alexandra Oudot, Jean-Marc Vrigneaud, François Brunotte, Paul Michael Walker, Alexandre Cochet, Alain Lalande
2017	J	`jnl`	MRI-PET Registration with Automated Algorithm in Pre-clinical Studies. CoRR Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande
2015	B	`conf`	Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map. ICIP Jorge Zavala Bojorquez, Stéphanie Bricq, Paul Michael Walker, Alain Lalande
2012	J	`jnl`	Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis. Medical Biol. Eng. Comput. Stéphanie Bricq, Guillaume Mahé, David Rousseau, Anne Humeau-Heurtier, François Chapeau-Blondeau, Julio Rojas Varela, Pierre Abraham
2012	—	`conf`	Study of digital blood pressure and laser Doppler flowmetry signals through a multiscale analysis. EUSIPCO Emmanuelle Guerreschi, Anne Humeau-Heurtier, Stéphanie Bricq, Guillaume Mahé, Georges Leftheriotis
2011	B	`conf`	Brain MRI segmentation and lesion detection using generalized Gaussian and Rician modeling. Image Processing Xuqiang Wu, Stéphanie Bricq, Christophe Collet
2008	Misc	`conf`	3D Brain MRI segmentation based on robust Hidden Markov Chain. ICASSP Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2008	—	`conf`	Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas. ISBI Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2008	B	`conf`	Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions. ICIP Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2008	J	`jnl`	Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains. Medical Image Anal. Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach
2006	—	`conf`	Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas. ISBI Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach