collaborators

8 papers

cs.LG2026

Wavelet Flow Matching for Time Series

Lucas Poinsignon, Jorge da Silva Goncalves, Jorge da Silva Gonçalves +3

Synthetic time series are increasingly used for data augmentation, privacy-preserving data sharing, and downstream model development, yet faithfully reproducing both multi-scale te…

cs.LG2026

DR-net-Mamba: Selective State-Space Modeling for Long-Range ECG Time-Series Denoising

Basile Morel, Samuel Ruiperez-Campillo, Andreas P. Streich +2

Electrocardiogram (ECG) recordings are corrupted by non-stationary noise sources that degrade diagnostic reliability, particularly in ambulatory and long-duration recordings. Deep…

cs.LG2026

Cyclostationary Phase Conditioning for Medical Time Series Diffusion

Samuel Ruiperez-Campillo, Michele Copetti, Jorge da Silva Goncalves +3

Many physiological time series, such as cardiac and brain recordings, exhibit cyclostationarity: their statistics vary periodically with an underlying cycle phase. Corruption from…

cs.AI2026

Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning

Andrea Agostini, Simon Böhi, Moritz Vandenhirtz +7

Cardiovascular diagnosis and treatment rest on integrating complementary modalities, such as electrocardiogram, echocardiography, and chest X-rays, each capturing distinct but comp…

cs.LG2026

Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

Laura Alvarez-Florez, Daniel Uyterlinde, Samuel Ruipérez-Campillo +3

Chagas disease is a major cause of cardiomyopathy in Latin America. Cardiac magnetic resonance (CMR) imaging can characterize its structural abnormalities, but scanners and expert…

cs.LG2026

Foundation Model for Cardiac Time Series via Masked Latent Attention

Moritz Vandenhirtz, Samuel Ruipérez-Campillo, Simon Böhi +6

Electrocardiograms (ECGs) are among the most widely available clinical signals and play a central role in cardiovascular diagnosis. While recent foundation models (FMs) have shown…

eess.IV2025

Predicting Pulmonary Hypertension in Newborns: A Multi-view VAE Approach

Lucas Erlacher, Samuel Ruipérez-Campillo, Holger Michel +4

Pulmonary hypertension (PH) in newborns is a critical condition characterized by elevated pressure in the pulmonary arteries, leading to right ventricular strain and heart failure.…

eess.SP2025

A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy

Samuel Ruipérez-Campillo, Alain Ryser, Thomas M. Sutter +10

In the field of cardiac electrophysiology (EP), effectively reducing noise in intra-cardiac signals is crucial for the accurate diagnosis and treatment of arrhythmias and cardiomyo…