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Found 11 papers, 2 papers with code
Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling
We develop stochastic texture models for sandblasted and milled surfaces based on topography measurements of such surfaces.
An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
We develop a model the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold impregnated with hyaluron and supplied with a differentiation medium.
Effective stripe artefact removal by a variational method: application to light-sheet microscopy, FIB-SEM and remote sensing images
Light-sheet fluorescence microscopy (LSFM) is used to capture volume images of biological specimens.
MorphFlow: Estimating Motion in In Situ Tests of Concrete
We present a novel algorithm explicitly tailored to estimate motion from time series of 3D images of concrete.
Hybrid quantum transfer learning for crack image classification on NISQ hardware
Quantum computers possess the potential to process data using a remarkably reduced number of qubits compared to conventional bits, as per theoretical foundations.
Riesz feature representation: scale equivariant scattering network for classification tasks
In this work, we define an alternative feature representation based on the Riesz transform.
Riesz networks: scale invariant neural networks in a single forward pass
For neural networks, scale invariance is typically achieved by data augmentation.
Improved Anisotropic Gaussian Filters
Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers.
A hybrid quantum image edge detector for the NISQ era
In this paper, we propose a hybrid method for quantum edge detection based on the idea of a quantum artificial neuron.
Improved FRQI on superconducting processors and its restrictions in the NISQ era
Quantum image processing promises to encode images with logarithmically less qubits than classical pixels in the image.
Wasserstein Patch Prior for Image Superresolution
Then, the proposed regularizer penalizes the $W_2$-distance of the patch distribution of the reconstruction to the patch distribution of some reference image at different scales.
