https://www.nist.gov/publications/deep-subwavelength-nanometric-image-reconstruction-using-fourier-domain-optical
Quantitative optical measurements of deep sub-wavelength, three-dimensional, nanometric structures with sensitivity to sub-nanometer details address an ubiquito
image reconstructionfourier domaindeepsubwavelengthnanometric
https://www.guru.com/service/image-reconstruction-algorithms/india/kerala/thiruvananthapuram/4739573
image reconstruction algorithms (4739573) - I can implement reconstruction and restoration algorithms for image processing using python, matlab programming...
image reconstructionalgorithmsserviceguru
https://openreview.net/forum?id=scPtkiO3bl&referrer=%5Bthe%20profile%20of%20Yalong%20Bai%5D(%2Fprofile%3Fid%3D~Yalong_Bai2)
Text-guided image generation and editing using diffusion models have achieved remarkable advancements. Among these, tuning-free methods have gained attention...
image fidelityuniformattentionmapsboosting
https://deepai.org/publication/global-k-space-interpolation-for-dynamic-mri-reconstruction-using-masked-image-modeling
07/24/23 - In dynamic Magnetic Resonance Imaging (MRI), k-space is typically undersampled due to limited scan time, resulting in aliasing art...
globalkspaceinterpolationdynamic
https://arxiv.org/abs/2307.12672
Abstract page for arXiv paper 2307.12672: Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
globalkspaceinterpolationdynamic
https://deepai.org/publication/mr-image-reconstruction-using-the-learned-data-distribution-as-prior
11/30/17 - MR image reconstruction from undersampled data exploits priors to compensate for missing k-space data. This has previously been ac...
image reconstructiondata distributionmrusinglearned