Sparse asynchronous cortical generators can produce measurable scalp EEG signals. - Nicolás von Ellenrieder; Jonathan Dan; Birgit Frauscher; Jean Gotman (NeuroImage, 2016)

Live Demonstration: SeizeIT - A wearable multimodal epileptic seizure detection device. - Steven Boeckx; Wim Van Paesschen; Brecht Bonte; Jonathan Dan (BioCAS, 2018)

Corrigendum to "Sparse asynchronous cortical generators can produce measurable scalp EEG signals" [Neuroimage 138 (2016) 123-133]. - Nicolás von Ellenrieder; Jonathan Dan; Birgit Frauscher; Jean Gotman (NeuroImage, 2018)

Comparison between Scalp EEG and Behind-the-Ear EEG for Development of a Wearable Seizure Detection System for Patients with Focal Epilepsy. - Ying Gu; Evy Cleeren; Jonathan Dan; Kasper Claes; Wim Van Paesschen; Sabine Van Huffel; Borbála Hunyadi (Sensors, 2018)

Computationally-Efficient Algorithm for Real-Time Absence Seizure Detection in Wearable Electroencephalography. - Jonathan Dan; Benjamin Vandendriessche; Wim Van Paesschen; Dorien Weckhuysen; Alexander Bertrand (Int. J. Neural Syst., 2020)

Grouped variable selection for generalized eigenvalue problems. - Jonathan Dan; Simon Geirnaert; Alexander Bertrand (Signal Process., 2022)

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. - Lara Orlandic; Jonathan Dan; Jérôme Thevenot; Tomás Teijeiro; Alain Sauty; David Atienza (BSN, 2024)

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems. - Alireza Amirshahi; Jonathan Dan; Jose Angel Miranda; Amir Aminifar; David Atienza (CHIL, 2024)

Resource-Efficient Continual Learning for Personalized Online Seizure Detection. - Amirhossein Shahbazinia; Flavio Ponzina; Jose Angel Miranda; Jonathan Dan; Giovanni Ansaloni; David Atienza (EMBC, 2024)

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. - Jonathan Dan; Una Pale; Alireza Amirshahi; William Cappelletti; Thorir Mar Ingolfsson; Xiaying Wang; Andrea Cossettini; Adriano Bernini; Luca Benini; Sándor Beniczky; David Atienza; Philippe Ryvlin (CoRR, 2024)

DC is all you need: describing ReLU from a signal processing standpoint. - Christodoulos Kechris; Jonathan Dan; José Miranda; David Atienza (CoRR, 2024)

Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. - Christodoulos Kechris; Jonathan Dan; José Miranda; David Atienza (AAAI, 2025)

Multi-Partner Project: Sustainable Textile Electronics (STELEC). - Bo Zhou 005; Mengxi Liu; Sizhen Bian; Daniel Geißler; Paul Lukowicz; José Miranda; Jonathan Dan; David Atienza; Mohamed Amine Riahi; Norbert Wehn; Russel N. Torah; Sheng Yong; et al. (DATE, 2025)

Longitudinal high-density cortical auditory event-related potentials and speech-sound discrimination in the first two years of life in extremely and very preterm infants without developmental disorders. - Karine Pelc; Aleksandra Gajewska; Natan Napiórkowski; Jonathan Dan; Caroline Verhoeven; Bernard Dan (NeuroImage, 2025)

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a Smartwatch. - Christodoulos Kechris; Jonathan Dan; José Miranda; David Atienza (IEEE Trans. Biomed. Eng., 2025)

Time series saliency maps: explaining models across multiple domains. - Christodoulos Kechris; Jonathan Dan; David Atienza (CoRR, 2025)

SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference. - Jonathan Dan; Amirhossein Shahbazinia; Christodoulos Kechris; David Atienza (CoRR, 2025)