1 citations · 1 across the 3 of their papers we have counts for
4 papers · 1 filter
On Sleep-Wake Disorder Identification from Polysomnographic Representations
Alvise Dei Rossi, Luigi Fiorillo, Giuliana Monachino +6
Self-supervised polysomnography foundation models (PSG FMs) aim to capture clinically useful information beyond sleep staging, yet are rarely compared with sleep-staging encoders p…
NAPS: Attention-Based Fusion of Heterogeneous Physiological Signals
Alvise Dei Rossi, Julia van der Meer, Markus H. Schmidt +4
Physiological signals are inherently heterogeneous: they are collected under diverse acquisition setups, differ in the number and type of modalities and channels, varying in qualit…
SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models
Alvise Dei Rossi, Matteo Metaldi, Michal Bechny +7
Despite advances in deep learning for automatic sleep staging, clinical adoption remains limited due to challenges in fair model evaluation, generalization across diverse datasets,…
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review
Michal Bechny, Giuliana Monachino, Luigi Fiorillo +5
Purpose: This study aims to enhance the clinical use of automated sleep-scoring algorithms by incorporating an uncertainty estimation approach to efficiently assist clinicians in t…