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Toward Sharing Brain Images: Differentially Private TOF-MRA Images With Segmentation Labels Using Generative Adversarial Networks.
Kossen, Tabea; Hirzel, Manuel A; Madai, Vince I; Boenisch, Franziska; Hennemuth, Anja; Hildebrand, Kristian; Pokutta, Sebastian; Sharma, Kartikey; Hilbert, Adam; Sobesky, Jan; Galinovic, Ivana; Khalil, Ahmed A; Fiebach, Jochen B; Frey, Dietmar.
Afiliação
  • Kossen T; CLAIM-Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Hirzel MA; Department of Computer Engineering and Microelectronics, Computer Vision & Remote Sensing, Technical University Berlin, Berlin, Germany.
  • Madai VI; CLAIM-Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Boenisch F; CLAIM-Charité Lab for AI in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Hennemuth A; QUEST Center for Responsible Research, Berlin Institute of Health (BIH), Charité-Universitätsmedizin Berlin, Berlin, Germany.
  • Hildebrand K; Faculty of Computing, Engineering and the Built Environment, School of Computing and Digital Technology, Birmingham City University, Birmingham, United Kingdom.
  • Pokutta S; Fraunhofer AISEC, Berlin, Germany.
  • Sharma K; Department of Computer Engineering and Microelectronics, Computer Vision & Remote Sensing, Technical University Berlin, Berlin, Germany.
  • Hilbert A; Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Sobesky J; Fraunhofer MEVIS, Bremen, Germany.
  • Galinovic I; Department VI Computer Science and Media, Berlin University of Applied Sciences and Technology, Berlin, Germany.
  • Khalil AA; Department for AI in Society, Science, and Technology, Zuse Institute Berlin, Berlin, Germany.
  • Fiebach JB; Institute of Mathematics, Technical University Berlin, Berlin, Germany.
  • Frey D; Department for AI in Society, Science, and Technology, Zuse Institute Berlin, Berlin, Germany.
Front Artif Intell ; 5: 813842, 2022.
Article em En | MEDLINE | ID: mdl-35586223
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Artif Intell Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Artif Intell Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha