Constrained and unconstrained deep image prior optimization models with automatic regularization. [PDF]
Cascarano P +4 more
europepmc +1 more source
Digital in-line holographic microscopy (DIHM) is a widely used interference technique for real-time reconstruction of living cells’ morphological information with large space-bandwidth product and compact setup.
Xuan Tian +7 more
doaj +1 more source
Simultaneous Denoising of Dynamic PET Images Based on Deep Image Prior. [PDF]
Yang CH, Huang HM.
europepmc +1 more source
3D visualization of in situ nanoscale dynamics in transmission electron microscopy via self-supervised deep learning [PDF]
Craig Timothy +3 more
doaj +1 more source
LUNA: Loss-Construct Unsupervised Network Adjustment for Low-Dose CT Image Reconstruction
Reconstructing low-dose CT imaging deals with handling the inherent noise within the data, which makes it a complex mathematical problem known as an ill-posed inverse problem.
Ritu Gothwal +2 more
doaj +1 more source
Conventional strategies aimed at mitigating beam-hardening artifacts in computed tomography (CT) can be categorized into two main approaches: (1) postprocessing following conventional reconstruction and (2) iterative reconstruction incorporating a beam ...
Alessandro Piol +5 more
doaj +1 more source
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior. [PDF]
Gong K, Catana C, Qi J, Li Q.
europepmc +1 more source
Using a modified double deep image prior for crosstalk mitigation in multislice ptychography. [PDF]
Du M, Huang X, Jacobsen C.
europepmc +1 more source
Reference-Driven Undersampled MR Image Reconstruction Using Wavelet Sparsity-Constrained Deep Image Prior. [PDF]
Zhao D, Huang Y, Zhao F, Qin B, Zheng J.
europepmc +1 more source
Multi-dynamic deep image prior for cardiac MRI. [PDF]
Vornehm M +6 more
europepmc +1 more source

