1 citations · 2 across the 5 of their papers we have counts for
5 papers
Physics-Informed Image Restoration via Progressive PDE Integration
Shamika Likhite, Santiago López-Tapia, Aggelos K. Katsaggelos
Motion blur, caused by relative movement between camera and scene during exposure, significantly degrades image quality and impairs downstream computer vision tasks such as object…
Diffusion-Based Limited-Angle CT Reconstruction under Noisy Conditions
Jiaqi Guo, Santiago López-Tapia
Limited-Angle Computed Tomography (LACT) is a challenging inverse problem where missing angular projections lead to incomplete sinograms and severe artifacts in the reconstructed i…
ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI
Neda Tavakoli, Amir Ali Rahsepar, Brandon C. Benefield +9
Background: Late Gadolinium Enhancement (LGE) imaging is the gold standard for assessing myocardial fibrosis and scarring, with left ventricular (LV) LGE extent predicting major ad…
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning
Hui Lin, Florian Schiffers, Santiago López-Tapia +3
Unsupervised domain adaptation (UDA) is essential for medical image segmentation, especially in cross-modality data scenarios. UDA aims to transfer knowledge from a labeled source…
A General Method to Incorporate Spatial Information into Loss Functions for GAN-based Super-resolution Models
Xijun Wang, Santiago López-Tapia, Alice Lucas +3
Generative Adversarial Networks (GANs) have shown great performance on super-resolution problems since they can generate more visually realistic images and video frames. However, t…