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Nadjia Kachenoura
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2020 – today
- 2024
- [j4]Moussa Gueda Moussa, Jérôme Lamy, Vincent Nguyen, Perrine Marsac, Umit Gencer, Élie Mousseaux, Emilie Bollache, Nadjia Kachenoura:
Estimate of the hydraulic force in the aging heart: a cardiovascular magnetic resonance imaging study. BMC Medical Imaging 24(1): 168 (2024) - [c24]Nicolas Portal, Thomas Dietenbeck, Saud Khan, Vincent Nguyen, Mikaël Prigent, Mohamed Zarai, Khaoula Bouazizi-Verdier, Johanne Sylvain, Alban Redheuil, Gilles Montalescot, Nadjia Kachenoura, Catherine Achard:
Learning to Estimate Motion Between Non-adjacent Frames in Cardiac Cine MRI Data: A Fusion Approach. ICPR (11) 2024: 222-237 - [c23]Jonas Leite, Moussa Gueda Moussa, Emilie Bollache, Khaoula Bouazizi-Verdier, Perrine Marsac, Thomas Wallet, Mikaël Prigent, Vincent Nguyen, Jérôme Lamy, Antonio Gallo, Élie Mousseaux, Alban Redheuil, Gilles Montalescot, Thomas Dietenbeck, Nadjia Kachenoura:
Deep Learning-Based Left Heart Chambers Segmentation and Strain Analysis from Dynamic MRI Images. ISBI 2024: 1-4 - [c22]Perrine Marsac, Thomas Wallet, Alban Redheuil, Moussa Gueda, Vincent Nguyen, Etienne Charpentier, Nadjib Hammoudi, Emilie Bollache, Nadjia Kachenoura:
Left Atrial Geometry and Hemodynamics Quantified from 4D Flow MRI in Primary Mitral Regurgitation. ISBI 2024: 1-4 - [i1]Nicolas Portal, Nadjia Kachenoura, Thomas Dietenbeck, Catherine Achard:
SFB-net for cardiac segmentation: Bridging the semantic gap with attention. CoRR abs/2410.18503 (2024) - 2023
- [c21]Nicolas Portal, Nadjia Kachenoura, Thomas Dietenbeck, Catherine Achard:
SFB-net for Cardiac Segmentation: Bridging the Semantic Gap with Attention. ISBI 2023: 1-5 - 2022
- [j3]Vivek P. Jani
, Nadjia Kachenoura
Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA). J. Digit. Imaging 35(3): 594-604 (2022)
2010 – 2019
- 2019
- [c20]Kevin Bouaou, Thomas Dietenbeck
Pressure and Flow Interplay in Aortic Dilation Using 4D Flow Magnetic Resonance Imaging. CinC 2019: 1-4 - [c19]Thomas Dietenbeck
Automated 3D MRI Aortic Morphometry Demonstrates the Added Value of Volumes as Compared to Diameters. CinC 2019: 1-4 - [c18]Sophia Houriez--Gombaud-Saintonge
Characterization of Blood Flow Changes in Normal and Pathological Aortic Dilation from 4D Flow Magnetic Resonance Imaging. CinC 2019: 1-4 - 2018
- [j2]Jérôme Lamy
Scan-rescan reproducibility of ventricular and atrial MRI feature tracking strain. Comput. Biol. Medicine 92: 197-203 (2018) - [j1]Thomas Dietenbeck, Damian Craiem
3D aortic morphology and stiffness in MRI using semi-automated cylindrical active surface provides optimized description of the vascular effects of aging and hypertension. Comput. Biol. Medicine 103: 101-108 (2018) - [c17]Sophia Houriez--Gombaud-Saintonge
Evaluation of Left Ventricular Diastolic Function Using 4D Flow Magnetic Resonance Imaging. CinC 2018: 1-4 - [c16]Enrico Soldati, Thomas Dietenbeck, Alban Redheuil
Development of a New Approach for the Assessment of Complex Blood Flow Patterns in the Left Atrium From 4D Flow MRI. CinC 2018: 1-4 - 2017
- [c15]Kevin Bouaou, Ioannis Bargiotas
Relative Aortic Blood Pressure Using 4D Flow MRI: Associations with Age and Aortic Tapering. CinC 2017 - [c14]Sophia Houriez--Gombaud-Saintonge
Assessment of Aortic Pulse Wave Velocity Using 4D Flow Magnetic Resonance Imaging: Methods Comparison. CinC 2017 - [c13]Jérôme Lamy
The Differential Meaning of LV and LA Strains in Aortic Valve Stenosis: A Feature Tracking MRI Study. CinC 2017 - 2015
- [c12]Morgane Evin
Left atrium MRI 4D-flow in atrial fibrillation: association with LA function. CinC 2015: 5-8 - [c11]Nadjia Kachenoura
Right Ventricular Diastolic Function Evaluation in Magnetic Resonance Imaging. CinC 2015: 89-92 - [c10]Jérôme Lamy
Inter-study Repeatability of Left Ventricular Strain Measurement Using Feature Tracking on MRI Cine Images. CinC 2015: 173-176 - [c9]Emilie Bollache
Left Ventricular-Aortic Coupling in Sickle Cell Disease Underlies Diastolic Dysfunction. CinC 2015: 713-716 - [c8]Ioannis Bargiotas, Élie Mousseaux
Aortic Pulse Wave Velocity using Wavelet Analysis in Magnetic Resonance Imaging. CinC 2015: 725-728 - 2014
- [c7]Ioannis Bargiotas, Emilie Bollache, Alain De Cesare, Alban Redheuil, Élie Mousseaux, Nadjia Kachenoura:
Evaluation of Aortic Flow Alterations using MRI: Associations with Left Ventricular Remodeling. CinC 2014: 21-24 - [c6]Ioannis Bargiotas
Pixel-wise absolute pressures in the aortic arch from 3D MRI velocity data and carotid artery applanation tonometry. EMBC 2014: 5105-5108 - 2013
- [c5]Victor Mor-Avi, Nadjia Kachenoura, Nicole M. Bhave, Benjamin H. Freed, Michael W. Vannier, Karin Dill, Roberto M. Lang, Amit R. Patel:
3D Analysis of Myocardial Perfusion from Vasodilator Stress Computed Tomography: Can Accuracy Be Improved by Iterative Reconstruction? CinC 2013: 819-822 - 2010
- [c4]Emilie Bollache
Automated evaluation of left ventricular diastoilic function using velocity-encoded magnetic resonance imaging: conventional and new parameters. ISBI 2010: 500-503
2000 – 2009
- 2006
- [c3]Racha El-Berbari, Nadjia Kachenoura
Using cine MR images to evaluate myocardial infarct transmurality on delayed enhancement images. ISBI 2006: 145-148 - 2005
- [c2]Cinta Ruiz Dominguez, Nadjia Kachenoura, Sébastien Mulé
Classification of Segmental Wall Motion in Echocardiography Using Quantified Parametric Images. FIMH 2005: 477-486 - 2004
- [c1]Nadjia Kachenoura
Parametric Analysis of Main Motion : Application To The Assessment of Left Ventricular Wall Motion by MR Imaging. ISBI 2004: 460-463
Coauthor Index
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