Exploring the Potential of Generative Adversarial Networks for Synthesizing Radiological Images of the Spine to be Used in In Silico Trials

Author:

Galbusera Fabio,Niemeyer Frank,Seyfried Maike,Bassani Tito,Casaroli Gloria,Kienle Annette,Wilke Hans-Joachim

Funder

Bundesministerium für Wirtschaft und Energie

Nvidia

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference36 articles.

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3. Artificial neural networks for the recognition of vertebral landmarks in the lumbar spine;Galbusera;Comp. Methods Biomech. Biomed. Eng. Imaging Visual.,2016

4. The effects of six antipsychotic agents on QTc—an attempt to mimic clinical trial through simulation including variability in the population;Glinka;Comput. Biol. Med.,2014

5. NIPS 2016 tutorial: generative adversarial networks;Goodfellow,2016

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