Shape parametrization of bio-mechanical finite element models based on medical images. - Nathan Lauzeral; Domenico Borzacchiello; Michael Kugler; Daniel George; Yves Rémond; Alexandre Hostettler; Francisco Chinesta (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

A model order reduction approach to create patient-specific mechanical models of human liver in computational medicine applications. - Nathan Lauzeral; Domenico Borzacchiello; Michael Kugler; Daniel George; Yves Rémond; Alexandre Hostettler; Francisco Chinesta (Comput. Methods Programs Biomed., 2019)

Learning From Mouse CT-Scan Brain Images To Detect MRA-TOF Human Vasculatures. - Sara Chater; Nathan Lauzeral; Anass Nouri; Youssef El Merabet; Florent Autrusseau (EMBC, 2021)

Combining machine learning and artery characterization to identify the main bifurcations in 3D vascular trees. - Ibtissam Essadik; Anass Nouri; Nathan Lauzeral; Raja Touahni; Romain Bourcier; Florent Autrusseau (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Weakly-Supervised End-to-End Framework for Pixel-Wise Description of Micro-Calcifications in Full-Resolution Mammograms. - Paul Terrassin; Mickael Tardy; Nathan Lauzeral; Nicolas Normand (ISBI, 2024)

Thick Slices for Optimal Digital Breast Tomosynthesis Classification With Deep-Learning. - Paul Terrassin; Mickael Tardy; Hassan Alhajj; Nathan Lauzeral; Nicolas Normand (Deep-Breath@MICCAI, 2024)

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks. - Mouad Elaarabi; Domenico Borzacchiello; Philippe Le Bot; Nathan Lauzeral; Sebastien Comas-Cardona (CoRR, 2025)