Journal papers

  • N. Painchaud, J. Stym-Popper, P.Y. Courand, N. Thome, P.M. Jodoin, N. Duchateau and Olivier Bernard (2025) Fusing Echocardiography Images and Medical Records for Continuous Patient Stratification, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, p.In press; https://arxiv.org/abs/2401.07796

  • A. Austlid Taskén, T. Judge, E.A. Rye Berg, J. Yu, B. Grenne, F. Lindseth, S. Aakhus, P.M. Jodoin, N. Duchateau, O. Bernard and G. Kiss (2025) Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning, IEEE Journal of Biomedical and Health Informatics, p.In press;

  • H.J. Ling, S. Bru, J. Puig, F. Vixège, S. Mendez, F. Nicoud, P.Y. Courand, O. Bernard and D. Garcia (2024) Physics-Guided Neural Networks for Intraventricular Vector Flow Mapping, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, p.71(11):1377-1388; https://arxiv.org/abs/2403.13040

Conference proceedings

  • T. Judge, N. Duchateau, K. Faraz, P.M. Jodoin and O. Bernard (2025) Generation of realistic cardiac ultrasound sequences with ground truth motion and speckle decorrelation, In proceedings of in international ultrasonics symposium (IEEE IUS'25) https://hal.science/CREATIS/hal-05226018v1

  • J. Stym-Popper, N. Painchaud, P.Y Courand, C. Rambour, N. Thome and O. Bernard (2025) DAFTED: Decoupled Asymmetric Fusion of Tabular and Echocardiographic Data for Cardiac Hypertension Diagnosis, In proceedings of in Medical Imaging with Deep Learning (MIDL'25) https://openreview.net/pdf?id=ghhGImwv07

  • A. Judge, T. Judge, N. Duchateau, R.A. Sandler, J.Z. Sokol, O. Bernard and P.M. Jodoin (2024) Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning, In proceedings of in the 27th international conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'24) https://arxiv.org/pdf/2406.17902

  • H.J. Ling, N. Painchaud, P.Y. Courand, P.M. Jodoin, D. Garcia and O. Bernard (2023) Extraction of volumetric indices from echocardiography: which deep learning solution for clinical use?, In proceedings of in the 12th international conference on Functional Imaging and Modeling of the Heart (FIMH'23) https://arxiv.org/abs/2305.01997