@article{f4fec67d9243420485eeb90f4c71dca8,
title = "A multi-centric evaluation of self-learning GAN based pseudo-CT generation software for low field pelvic magnetic resonance imaging",
keywords = "artificial intelligence, cycle GAN, MRI, pelvis, pseudo-CT",
author = "Jessica Prunaretty and Gorkem G{\"u}ng{\"o}r and Thierry Gevaert and David Azria and Simon Valdenaire and Panagiotis Balermpas and Luca Boldrini and Chuong, \{Michael David\} and \{De Ridder\}, Mark and Leo Hardy and Sanmady Kandiban and Philippe Maingon and Mittauer, \{Kathryn Elizabeth\} and Enis Ozyar and Thais Roque and Lorenzo Colombo and Nikos Paragios and Ryan Pennell and Lorenzo Placidi and Kumar Shreshtha and Speiser, \{M. P.\} and Stephanie Tanadini-Lang and Vincenzo Valentini and Pascal Fenoglietto",
note = "Publisher Copyright: Copyright {\textcopyright} 2023 Prunaretty, G{\"u}ng{\"o}r, Gevaert, Azria, Valdenaire, Balermpas, Boldrini, Chuong, De Ridder, Hardy, Kandiban, Maingon, Mittauer, Ozyar, Roque, Colombo, Paragios, Pennell, Placidi, Shreshtha, Speiser, Tanadini-Lang, Valentini and Fenoglietto.",
year = "2023",
doi = "10.3389/fonc.2023.1245054",
language = "English",
volume = "13",
journal = "Frontiers in Oncology",
issn = "2234-943X",
}