Automated epileptic seizure detection based on break of excitation/inhibition balance. - Xiaoya Fan; Nicolas Gaspard; Benjamin Legros; Federico Lucchetti; Rudy Ercek; Antoine Nonclercq (Comput. Biol. Medicine, 2019)

Predicting Neurological Outcome From Electroencephalogram Dynamics in Comatose Patients After Cardiac Arrest With Deep Learning. - Wei-Long Zheng; Edilberto Amorim; Jin Jing; Ona Wu; Mohammad M. Ghassemi; Jong Woo Lee; Adithya Sivaraju; Trudy Pang; Susan T. Herman; Nicolas Gaspard; Barry J. Ruijter; Marleen C. Tjepkema-Cloostermans; et al. (IEEE Trans. Biomed. Eng., 2022)

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023. - Matthew A. Reyna; Edilberto Amorim; Reza Sameni; James Weigle; Andoni Elola; Ali Bahrami Rad; Salman Seyedi; Hyeokhyen Kwon; Wei-Long Zheng; Mohammad M. Ghassemi; Michel J. A. M. van Putten; Jeannette Hofmeijer; et al. (CinC, 2023)

Strong Sustainability of Medical Technologies: A Medical Taboo? The Case of Disposable Endoscopes. - Gilles Decroly; Ramzi Ben Hassen; Wouter M. J. Achten; David Grimaldi; Nicolas Gaspard; Jacques Deviere; Alain Delchambre; Antoine Nonclercq (EMBC, 2023)

Integration of Sustainability in the Design Process of Medical Devices - Application to Dry Electrodes. - Pieter Beerten; Victor-Paul Grandjean; Gilles Decroly; Nicolas Gaspard; Alain Delchambre; Antoine Nonclercq (MeMeA, 2024)

Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models. - Aurore Bussalb; François Le Gac; Guillaume Jubien; Mohamed Rahmouni; Ruggero G. Bettinardi; Pedro Marinho R. de Oliveira; Phillipe Derambure; Nicolas Gaspard; Jacques Jonas; Louis Maillard; Laurent Vercueil; Hervé Vespignani; et al. (CoRR, 2025)