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Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning.
Shiri, Isaac; Vafaei Sadr, Alireza; Akhavan, Azadeh; Salimi, Yazdan; Sanaat, Amirhossein; Amini, Mehdi; Razeghi, Behrooz; Saberi, Abdollah; Arabi, Hossein; Ferdowsi, Sohrab; Voloshynovskiy, Slava; Gündüz, Deniz; Rahmim, Arman; Zaidi, Habib.
Affiliation
  • Shiri I; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Vafaei Sadr A; Department of Theoretical Physics and Center for Astroparticle Physics, University of Geneva, Geneva, Switzerland.
  • Akhavan A; Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Salimi Y; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Sanaat A; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Amini M; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Razeghi B; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Saberi A; Department of Computer Science, University of Geneva, Geneva, Switzerland.
  • Arabi H; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Ferdowsi S; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva 4, Switzerland.
  • Voloshynovskiy S; HES-SO, University of Geneva, Geneva, Switzerland.
  • Gündüz D; Department of Computer Science, University of Geneva, Geneva, Switzerland.
  • Rahmim A; Department of Electrical and Electronic Engineering, Imperial College London, London, UK.
  • Zaidi H; Departments of Radiology and Physics, University of British Columbia, Vancouver, Canada.
Eur J Nucl Med Mol Imaging ; 50(4): 1034-1050, 2023 03.
Article in En | MEDLINE | ID: mdl-36508026
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Deep Learning Type of study: Clinical_trials / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Eur J Nucl Med Mol Imaging Journal subject: MEDICINA NUCLEAR Year: 2023 Type: Article Affiliation country: Switzerland
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Deep Learning Type of study: Clinical_trials / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Eur J Nucl Med Mol Imaging Journal subject: MEDICINA NUCLEAR Year: 2023 Type: Article Affiliation country: Switzerland