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Stéphanie Bricq
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2020 – today
- 2024
- [j9]Isaac Wilfried Sanou, Julien Baderot, Stéphanie Bricq, Yannick Benezeth, Franck Marzani, Sergio Martinez, Johann Foucher:
Deep learning contour-based method for semi-automatic annotation of manufactured objects in electron microscopy images. J. Electronic Imaging 33(3) (2024) - [j8]Anneke Annassia Putri Siswadi
, Stéphanie Bricq, Fabrice Mériaudeau:
Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning. Medical Biol. Eng. Comput. 62(11): 3433-3444 (2024) - 2023
- [j7]Tewodros Weldebirhan Arega
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. 86: 102773 (2023) - [j6]Lei Li
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [j5]Carlos Martín-Isla
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c15]Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau:
Multi-label ocular abnormalities detection with semantic dictionary learning. Computer-Aided Diagnosis 2023 - [c14]Joffrey Michaud, Tewodros Weldebirhan Arega, Stéphanie Bricq:
Using Uncertainty Information for Kidney Tumor Segmentation. KiTS@MICCAI 2023: 54-59 - 2022
- [j4]Khawla Brahim
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 22(6): 2084 (2022) - [c13]Anneke Annassia Putri Siswadi, Stéphanie Bricq, Fabrice Mériaudeau:
Microaneurysms Detection in Color Fundus Image with Feature-based Background Suppression. ICPR 2022: 4594-4600 - [c12]Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation. LAScarQS@MICCAI 2022: 133-144 - [c11]Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts Using Multi-task Learning and K-Space Motion Artefact Augmentation. STACOM@MICCAI 2022: 418-428 - [i2]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:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - 2021
- [c10]Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Mériaudeau:
Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR. UNSURE/PIPPI@MICCAI 2021: 24-33 - [c9]Tewodros Weldebirhan Arega, François Le Grand, Stéphanie Bricq, Fabrice Mériaudeau:
Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI. STACOM@MICCAI 2021: 250-258 - 2020
- [c8]Tewodros Weldebirhan Arega
Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module. MyoPS@MICCAI 2020: 102-117
2010 – 2019
- 2018
- [j3]Stéphanie Bricq
Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. Medical Biol. Eng. Comput. 56(9): 1531-1539 (2018) - 2017
- [i1]Nathanael L. Baisa, Stéphanie Bricq, Alain Lalande:
MRI-PET Registration with Automated Algorithm in Pre-clinical Studies. CoRR abs/1705.07062 (2017) - 2015
- [c7]Jorge Zavala Bojorquez, Stéphanie Bricq, Paul Michael Walker, Alain Lalande:
Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map. ICIP 2015: 1185-1189 - 2012
- [j2]Stéphanie Bricq, Guillaume Mahé, David Rousseau, Anne Humeau-Heurtier
Assessing spatial resolution versus sensitivity from laser speckle contrast imaging: application to frequency analysis. Medical Biol. Eng. Comput. 50(10): 1017-1023 (2012) - [c6]Emmanuelle Guerreschi, Anne Humeau-Heurtier, Stéphanie Bricq, Guillaume Mahé, Georges Leftheriotis:
Study of digital blood pressure and laser Doppler flowmetry signals through a multiscale analysis. EUSIPCO 2012: 1796-1800 - 2011
- [c5]Xuqiang Wu, Stéphanie Bricq, Christophe Collet:
Brain MRI segmentation and lesion detection using generalized Gaussian and Rician modeling. Image Processing 2011: 796236
2000 – 2009
- 2008
- [j1]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains. Medical Image Anal. 12(6): 639-652 (2008) - [c4]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
3D Brain MRI segmentation based on robust Hidden Markov Chain. ICASSP 2008: 517-520 - [c3]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions. ICIP 2008: 733-736 - [c2]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas. ISBI 2008: 93-96 - 2006
- [c1]Stéphanie Bricq, Christophe Collet, Jean-Paul Armspach:
Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas. ISBI 2006: 386-389
Coauthor Index
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last updated on 2024-11-28 21:29 CET by the dblp team
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