Nathan Painchaud

According to our database, Nathan Painchaud authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A Patient-Specific Pulmonary Arterial Tree Digital Twin to Extract Pulmonary Embolism Biomarkers.

Morgane Des Ligneris, Nathan Painchaud, Allan Serva, Laurent Bertoletti, Pierre Croisille, Carole Frindel, Odyssée Merveille

CoRR, May, 2026

2025

DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis.

Jérémie Stym-Popper, Nathan Painchaud, Clément Rambour, Pierre-Yves Courand, Nicolas Thome, Olivier Bernard

CoRR, September, 2025

2024

Apprentissage profond de variétés pour une meilleure caractérisation de l'hypertension artérielle en imagerie échocardiographique. (Deep manifold learning for improved high blood pressure characterization using echocardiography).

Nathan Painchaud

PhD thesis, 2024

Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification.

Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Nicolas Duchateau, Olivier Bernard

CoRR, 2024

2023

Extraction of Volumetric Indices from Echocardiography: Which Deep Learning Solution for Clinical Use?

Hang Jung Ling, Nathan Painchaud, Pierre-Yves Courand, Pierre-Marc Jodoin, Damien Garcia, Olivier Bernard

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Echocardiography Segmentation With Enforced Temporal Consistency.

Nathan Painchaud, Nicolas Duchateau, Olivier Bernard, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2022

2020

Cardiac Segmentation With Strong Anatomical Guarantees.

Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2020

Neural Teleportation.

Marco Antonio Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin

CoRR, 2020

On the effectiveness of GAN generated cardiac MRIs for segmentation.

Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande

CoRR, 2020

2019

Cardiac MRI Segmentation with Strong Anatomical Guarantees.

Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019