BRICQ Stéphanie

Khawla Brahim, Tewodros Weldebirhan Arega, Arnaud Boucher, Stephanie Bricq, Anis Sakly, et al.. 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, MDPI, 2022, 22 (6), pp.2084. ⟨10.3390/s22062084⟩.

Jorge Arturo Zavala Bojorquez, Pierre-Marc Jodoin, Stéphanie Bricq, Paul Michael Walker, François Brunotte, et al.. Automatic classification of tissues on pelvic MRI based on relaxation times and support vector machine. PLoS ONE, Public Library of Science, 2019, 14 (2), pp.e0211944. ⟨10.1371/journal.pone.0211944⟩

Z. Bentatou, M. Finas, P. Habert, F. Kober, Maxime Guye, et al.. Distribution of left ventricular trabeculation across age and gender in 140 healthy Caucasian subjects on MR imaging. Diagnostic and Interventional Imaging, Elsevier, 2018, ⟨10.1016/j.diii.2018.08.014⟩

Stéphanie Bricq,, Hiliwi Leake Kidane, Jorge Zavala Bojorquez, Alexandra Oudot, Jean-Marc Vrigneaud, et al.. Automatic deformable PET/MRI registration for preclinical studies based on B-splines and non-linear intensity transformation. Medical and Biological Engineering and Computing, Springer Verlag, 2018, ⟨10.1007/s11517-018-1797-0⟩

Julien Frandon, Stéphanie Bricq, Zakarya Bentatou, Laetitia Marcadet, Pierre Barral, et al.. Semi-automatic detection of myocardial trabeculation using cardiovascular magnetic resonance: correlation with histology and reproducibility in a mouse model of non-compaction. Journal of Cardiovascular Magnetic Resonance, BioMed Central, 2018, 20 (1), pp.70. ⟨10.1186/s12968-018-0489-0⟩

Julien Frandon, Stéphanie Bricq, Monique Bernard, Alain Lalande, Alexis Jacquier. Evaluation of trabeculated mass in patient with non compaction: do we need criteria reappraisal?. Journal of Cardiovascular Magnetic Resonance, BioMed Central, 2016, 18 (S1), pp.P274. ⟨10.1186/1532-429X-18-S1-P274⟩

Julien Frandon, Stéphanie Bricq, Lucile Miquerol, Monique Bernard, Alain Lalande, et al.. Transgenic mice with mutations in Nkx2.5 gene: animal model proposal to study non compaction. Journal of Cardiovascular Magnetic Resonance, BioMed Central, 2016, 18 (S1), pp.Q34. ⟨10.1186/1532-429X-18-S1-Q34⟩

Jorge Zavala Bojorquez, Stéphanie Bricq, Clement Acquitter, François Brunotte, Paul M Walker, et al.. What are normal relaxation times of tissues at 3Tesla?. Magnetic Resonance Imaging, Elsevier, 2016, ⟨10.1016/j.mri.2016.08.021⟩

Stéphanie Bricq, Julien Frandon, Monique Bernard, Maxime Guye, Laetitia Marcadet, et al.. Semiautomatic detection of myocardial contours in order to investigate normal values of the left ventricular trabeculated mass using MRI. Journal of Magnetic Resonance Imaging, Wiley-Blackwell, 2016, 43 (6), pp.1398-1406. ⟨10.1002/jmri.25113⟩

Jorge Zavala Bojorquez, Stéphanie Bricq, François Brunotte, Paul M Walker, Alain Lalande. A novel alternative to classify tissues from T1 and T 2 relaxation times for prostate MRI.. Magnetic Resonance Materials in Physics, Biology and Medicine, Springer Verlag, 2016, ⟨10.1007/s10334-016-0562-3⟩

François Brunotte, Haas Hein, Bertrand Collin, Alexandra Oudot, Stéphanie Bricq, et al.. Integrated PET/MRI in preclinical studies State of the art. tijdschrift voor nucleaire geneeskunde, 2013, 35, pp.1144-1152. ⟨hal-00953753⟩

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Meriaudeau. Using Polynomial Loss and Uncertainty Information for Robust Left Atrial and Scar Quantification and Segmentation. STACOM 2022, 13th Workshop on Statistical Atlases and Computational Modelling of the Heart, September 2022, Singapour.

1er prix du challenge LAScarQS (Left Atrial and Scar Quantification & Segmentation Challenge) 2022, « Best Performance », MICCAI 2022

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Meriaudeau. Automatic Quality Assessment of Cardiac MR Images with Motion Artefacts using Multi–task Learning and K-Space Motion Artefact Augmentation. STACOM 2022, 13th Workshop on Statistical Atlases and Computational Modelling of the Heart, September 2022, Singapour.

2nd prix du challenge CMRxMotion (Extreme Cardiac MRI Analysis Challenge under Respiratory Motion) « Segmentation task », MICCAI 2022

A. Siswadi, S. Bricq, F. Meriaudeau. Microaneurysms Detection in Color Fundus Image with Feature–based Background Suppression. 26th International Conference on Pattern Recognition (ICPR 2022), August 21-25, 2022, Montréal Québec.

Tewodros Weldebirhan Arega, François Legrand, Stéphanie Bricq, Fabrice Meriaudeau. Using MRI-specific Data Augmentation to Enhance the Segmentation of Right Ventricle in Multi-disease, Multi-center and Multi-view Cardiac MRI. Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 13131, Springer International Publishing, pp.250-258, 2022, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-93722-5_27⟩.

Tewodros Weldebirhan Arega, Stéphanie Bricq, Fabrice Meriaudeau. Leveraging Uncertainty Estimates to Improve Segmentation Performance in Cardiac MR. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 12959, Springer International Publishing, pp.24-33, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-87735-4_3⟩

Anneke Annassia Putri Siswadi, Stephanie Bricq, Fabrice Meriaudeau. A Survey on Microaneurysms Detection in Color Fundus Images. 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS), Oct 2020, Manado, Indonesia. pp.1-5, ⟨10.1109/ICORIS50180.2020.9320818⟩

Tewodros Weldebirhan Arega, Stéphanie Bricq. Automatic Myocardial Scar Segmentation from Multi-sequence Cardiac MRI Using Fully Convolutional Densenet with Inception and Squeeze-Excitation Module. Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Oct 2020, Lima, Peru. pp.102-117, ⟨10.1007/978-3-030-65651-5_10⟩

Stéphanie Bricq, Julien Frandon, Basile Puech, Monique Bernard, Maxime Guye, et al.. NCprocessing: a software to determine non-compacted and compacted masses from MRI. European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2015), Oct 2015, Edinburgh, United Kingdom

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 toward generation of PET/MR attenuation map. IEEE International Conference on Image Processing (ICIP), Sep 2015, Québec city, Canada.

Stéphanie Bricq, Julien Frandon, Daniel Fagret, Alexandre Cochet, Alexis Jacquier, et al.. Segmentation of compacted and non compacted left ventricular mass with a semi-automatic method. SCMR 18th annual scientific sessions, Feb 2015, Nice, France. ⟨10.1186/1532-429X-17-S1-P55⟩

Stéphanie Bricq, Julien Frandon, Alexis Jacquier, G. Habib, Alexandre Cochet, et al.. Automatic determination of the compacted and non-compacted areas in left ventricular MRI. European society of cardiac radiology (ESCR 2014), Oct 2014, Paris, France.