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Found 4 papers, 1 papers with code
Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge
BrLP is designed to predict the evolution of diseases at the individual level on 3D brain MRIs.
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
Our framework is a semi-self-supervised contrastive deep learning approach with three main innovations.
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
Our framework can exploit HR images, regardless of the domain where they are coming from, to transfer the quality of the HR images to the initial LR images.
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction
Purpose: Probe-based Confocal Laser Endomicroscopy (pCLE) is a recent imaging modality that allows performing in vivo optical biopsies.
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