REGULARIZED THREE-DIMENSIONAL GENERATIVE ADVERSARIAL NETS FOR UNSUPERVISED METAL ARTIFACT REDUCTION IN HEAD AND NECK CT IMAGES

Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images

The reduction of metal artifacts in computed tomography (CT) images, specifically for strong artifacts generated from multiple metal objects, is a challenging issue in medical imaging research.Although there have been some Speaker studies on supervised metal artifact reduction through the learning of synthesized artifacts, it is difficult for simul

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3D-Microbattery Architectural Design Optimization Using Automatic Geometry Generator and Transmission-Line Model

Summary: Optimization of the 3D battery architecture is crucial to improve the performance of microbatteries.However, such optimization is difficult and time consuming by hand for even experts.In this article, we propose a battery optimization system, which consists of an automatic geometry generator and performance simulators.The geometry generato

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