2 papers
physics.optics2026
Bridging the gap: Using deep learning to reconstruct noise-reduced super-resolved OCT images from gapped spectra
Jonas Nienhaus, Thomas Schlegl, Wolfgang Drexler +2
Fourier-domain (FD) optical coherence tomography (OCT) depends on broadband sources to maximize axial resolution and image quality. However, these lasers significantly drive device…
cs.LG2026
Frequency-Aware Model Parameter Explorer: A new attribution method for improving explainability
Ali Yavari, Alireza Mohamadi, Elham Beydaghi +2
State-of-the-art attribution methods rely on adversarial sample generation that applies an all-pass filter across the frequency spectrum, discarding fine-grained high-frequency inf…