Sepsis Detection Using Missingness Information. - Clémentine Aguet; Jérôme Van Zaen; Mathieu Lemay (CinC, 2019)

Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography. - João Jorge; Martin Proença; Clémentine Aguet; Jérôme Van Zaen; Guillaume Bonnier; Phillipe Renevey; Alia Lemkaddem; Patrick Schoettker; Mathieu Lemay (EMBC, 2020)

Interbeat Interval Detection from Synthetic Photoplethysmography Signals. - Clémentine Aguet; Loïc Jeanningros; Fabian Braun; Jérôme Van Zaen; Mathieu Lemay (CinC, 2021)

Generative Pre-Trained Transformer for Cardiac Abnormality Detection. - Pierre Louis Gaudilliere; Halla Sigurthorsdottir; Clémentine Aguet; Jérôme Van Zaen; Mathieu Lemay; Ricard Delgado-Gonzalo (CinC, 2021)

Feature Learning for Blood Pressure Estimation from Photoplethysmography. - Clémentine Aguet; Jérôme Van Zaen; João Jorge; Martin Proença; Guillaume Bonnier; Pascal Frossard; Mathieu Lemay (EMBC, 2021)

Generalization Capability of a Neural Network for Blood Pressure Estimation from Photoplethysmography. - Clémentine Aguet; Jérôme Van Zaen; Martin Proença; Guillaume Bonnier; Pascal Frossard; Mathieu Lemay (CinC, 2022)

Abnormal Cardiac Rhythm Detection Based on Photoplethysmography Signals and a Recurrent Neural Network. - Loïc Jeanningros; Jérôme Van Zaen; Clémentine Aguet; Mathieu Le Bloa; Alessandra Porretta; Cheryl Teres; Claudia Herrera; Giulia Domenichini; Patrizio Pascale; Adrian Luca; Jorge Solana Muñoz; Jean-Marc Vesin; et al. (CinC, 2023)

PPG-Based Sleep Staging Using SleepPPGNet: Extension to Wearables, Improvements, Limitations. - Loris Constantin; Clémentine Aguet; Jérôme Van Zaen; Alia Lemkaddem; Loïc Jeanningros; Kurt De Jaegere; Sebastian R. Ott; Anne-Kathrin Brill; Christian M. Horvath; Jean-Philippe Thiran; Mathieu Lemay; Fabian Braun (EMBC, 2024)