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Journal Articles
Morgane Des Ligneris, Nathan Painchaud, Allan Serva, Laurent Bertoletti, Pierre Croisille, Carole Frindel, Odyssée Merveille (2026). A Patient-Specific Pulmonary Arterial Tree Digital Twin to Extract Pulmonary Embolism Biomarkers. under review.
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Nathan Painchaud, Jérémie Stym-Popper, Pierre-Yves Courand, Nicolas Thome, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard (2025). Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. IEEE TUFFC.
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Marco Armenta
Equal contribution
, Thierry Judge
Equal contribution
, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin (2023). Neural Teleportation. Mathematics.
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Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin (2022). Echocardiography Segmentation With Enforced Temporal Consistency. IEEE TMI.
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Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin (2020). Cardiac Segmentation With Strong Anatomical Guarantees. IEEE TMI.
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Conference Papers
Jérémie Stym-Popper, Nathan Painchaud, Pierre-Yves Courand, Clément Rambour, Nicolas Thome, Olivier Bernard (2025). DAFTED - Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis. in proc. MIDL.
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Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard (2024). Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification. presented at MIDL.
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Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard (2023). Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?. in proc. FIMH.
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Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande (2020). On the effectiveness of GAN generated cardiac MRIs for segmentation. presented at MIDL.
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Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin (2019). Cardiac MRI Segmentation with Strong Anatomical Guarantees. in proc. MICCAI.
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