3 papers
cs.LG2026
Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3
Late Gadolinium Enhancement (LGE) on cardiac magnetic resonance is a key marker of myocardial scar, but its limited accessibility motivates routine ECG-based screening. We evaluate…
eess.SP2023
hvEEGNet: exploiting hierarchical VAEs on EEG data for neuroscience applications
Giulia Cisotto, Alberto Zancanaro, Italo F. Zoppis +1
With the recent success of artificial intelligence in neuroscience, a number of deep learning (DL) models were proposed for classification, anomaly detection, and pattern recogniti…
eess.SP2023
vEEGNet: learning latent representations to reconstruct EEG raw data via variational autoencoders
Alberto Zancanaro, Giulia Cisotto, Italo Zoppis +1
Electroencephalografic (EEG) data are complex multi-dimensional time-series that are very useful in many applications, from diagnostics to driving brain-computer interface systems.…