A mechanism is described for facilitating misuse index for explainable artificial intelligence
in computing environments, according to one embodiment. A method of embodiments, as …

Techniques for generating an enhanced cone-beam com puted tomography (CBCT) image
using a trained model are provided. A CBCT image of a subject is received. a synthetic …

Abstract Systems and methods for the improved analysis and generation of medical imaging
reports are disclosed. In particular, the present disclosure provides systems and methods …

For classifying magnetic resonance image quality or training to classify magnetic resonance
image quality, deep learning is used to learn features distinguishing between corrupt …

Abstract Systems and methods include training a deep convolutional neural network
(DCNN) to reduce one or more artifacts using a projection space or an image space …

the use of machine learning in post processing of tomographic reconstruction to improve
reconstruction has resulted in either accepting training data bias introduced by a machine …

Techniques for generating a synthetic computed tomography (SCT) image from a cone-
beam computed tomography (CBCT) image are provided. The techniques include receiv ing …

(57) ABSTRACT A method is for scattered ray correction of projection measurement data
recorded by a computer tomography system. In an embodiment, the method includes …

Example methods and systems for tomographic image reconstruction are provided. One
example method may comprise: obtaining two-dimensional (2D) projection data and …

A method is for training a convolutional neural network of a compensation unit. The method
includes: provisioning a machine learning device, the machine learning device being …