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Found 4 papers, 1 papers with code
Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions
Image decomposition plays a crucial role in various computer vision tasks, enabling the analysis and manipulation of visual content at a fundamental level.
Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks
Quantitative cancer image analysis relies on the accurate delineation of tumours, a very specialised and time-consuming task.
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
In this article, we use artificial intelligence algorithms to show how to enhance the resolution of the elementary particle track fitting in inhomogeneous dense detectors, such as plastic scintillators.
Image-based model parameter optimization using Model-Assisted Generative Adversarial Networks
We propose and demonstrate the use of a model-assisted generative adversarial network (GAN) to produce fake images that accurately match true images through the variation of the parameters of the model that describes the features of the images.
