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cs.LG2025★ 1 cited
BenchECG and xECG: a benchmark and baseline for ECG foundation models
Riccardo Lunelli, Angus Nicolson, Samuel Martin Pröll +3
Electrocardiograms (ECGs) are inexpensive, widely used, and well-suited to deep learning. Recently, interest has grown in developing foundation models for ECGs - models that genera…
cs.CV2025
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
Nadja Gruber, Johannes Schwab, Markus Haltmeier +3
We propose Noisier2Inverse, a correction-free self-supervised deep learning approach for general inverse problems. The proposed method learns a reconstruction function without the…