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An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients
Maria C. Ferrández*, Sandeep S.V. Golla, Jakoba J. Eertink, Bart M. de Vries, Pieternella J. Lugtenburg, Sanne E. Wiegers, Gerben J.C. Zwezerijnen, Simone Pieplenbosch, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Henrica C.W. de Vet, Otto S. Hoekstra, Coreline N. Burggraaff, Annelies Bes, Martijn W. Heymans, Yvonne W.S. Jauw, Martine E.D. Chamuleau, Sally F. Barrington
*Corresponding author for this work
- VU Amsterdam
- Cancer Center Amsterdam
- Erasmus MC Cancer Institute
- Universitat Leipzig
- University Hospital Essen
- Amsterdam UMC
- King’s College London and Guy’s and St Thomas’ PET Centre
- King’s College London & Guy’s and St. Thomas’ PET Centre
- King's College London
- Switzerland (SAKK)
- Università della Svizzera italiana
- GSTT Guy's and St Thomas' NHS Foundation Trust
- Semmelweis University
- ScanoMed
- Sant’ Orsola Malpighi Hospital
- University of Bologna
- University of Virginia
- Rigshospitalet
- Australasian Association of Nuclear Medicine Specialists
Research output: Contribution to journal › Article › peer-review
5
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(Scopus)