RMSSD Estimation From Photoplethysmography and Accelerometer Signals Using a Deep Convolutional Network. - Christodoulos Kechris; Anastasios Delopoulos (EMBC, 2021)

Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders. - Christodoulos Kechris; Alexandros Delitzas; Vasileios Matsoukas; Panagiotis C. Petrantonakis (EMBC, 2021)

Acoustical features as knee health biomarkers: A critical analysis. - Christodoulos Kechris; Jérôme Thevenot; Tomás Teijeiro; Vincent A. Stadelmann; Nicola A. Maffiuletti; David Atienza (Artif. Intell. Medicine, 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)

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)