2022-RA-648-ESGO Interpretable deep learning provides clues for prognostic refinement of the molecular endometrial cancer classification

International Journal of Gynecological Cancer, vol. 32, pp. A101

Authors 20

1. Sarah Volinsky-Fremond Aachen Pathology

   Leiden University Medical Center

   Affiliation as printed

   Pathology, Leiden University medical center, Leiden, Netherlands

2. Sonali Andani

   ETH Zurich · University Hospital Zurich

   Affiliation as printed

   Pathology and Molecular Pathology and Computer Science, University Hospital Zurich and ETH Zurich, Zurich, Switzerland

3. Jurriaan Barkey Wolf Aachen Pathology

   Leiden University Medical Center

   Affiliation as printed

   Pathology, Leiden University medical center, Leiden, Netherlands

4. Jouke Dijkstra Aachen Department of Vascular and Molecular Imaging

   Leiden University Medical Center

   Affiliation as printed

   Department of Vascular and Molecular Imaging, Leiden University Medical Center, Leiden, Netherlands

5. Jan J. Jobsen

   Medisch Spectrum Twente

   Affiliation as printed

   Department of Radiation Oncology, Medisch Spectrum Twente, Enschede, Netherlands

6. Ina Maria Jurgenliemk-Schulz

   University Medical Center Utrecht

   Affiliation as printed

   Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Netherlands

7. Ludy C.H.W. Lutgens

   Maastricht University Medical Centre

   Affiliation as printed

   Department of Radiation Oncology, Maastricht UMC+, Maastricht, Netherlands

8. Remi A. Nout

   Erasmus MC

   Affiliation as printed

   Department of Radiation Oncology, Erasmus University Medical Center, Rotterdam, Netherlands

9. Elzbieta van der Steen-Banasik

   Radiotherapiegroep

   Affiliation as printed

   Department of Radiation Oncology, Radiotherapiegroep, Arnhem, Netherlands

10. Stephanie M. de Boer Aachen Department of Radiation Oncology

    Leiden University Medical Center

    Affiliation as printed

    Department of Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands

11. Melanie E. B. Powell

    Barts Health NHS Trust

    Affiliation as printed

    Department of Clinical Oncology, Barts Health NHS Trust, London, UK

12. Naveena Singh

    Barts Health NHS Trust

    Affiliation as printed

    Department of Pathology, Barts Health NHS Trust, London, UK

13. Linda Mileshkin

    Peter MacCallum Cancer Centre

    Affiliation as printed

    Department of Medical Oncology, Peter MacCallum Cancer Center, Melbourne, Australia

14. Helen J MacKay

    Sunnybrook Health Science Centre · Sunnybrook Hospital · Odette Cancer Centre

    Affiliation as printed

    Department of Medical Oncology and Hematology, Odette Cancer Center Sunnybrook Health Sciences Center, Toronto, ON, Canada

15. Alexandra F. Leary

    Institut Gustave Roussy

    Affiliation as printed

    Department Medical Oncology, Gustave Roussy Institute, Villejuif, France

16. Hans W. Nijman

    University Medical Center Groningen

    Affiliation as printed

    Department of Obstetrics and Gynecology, University Medical Center Groningen, Groningen, Netherlands

17. Carien L. Creutzberg Aachen Department of Radiation Oncology

    Leiden University Medical Center

    Affiliation as printed

    Department of Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands

18. Nanda Horeweg Aachen Radiotherapy

    Leiden University Medical Center

    Affiliation as printed

    Radiotherapy, Leiden University medical center, Leiden, Netherlands

19. Viktor Hendrik Koelzer

    University Hospital Zurich

    Affiliation as printed

    Pathology and Molecular Pathology, University Hospital Zurich, Zurich, Switzerland

20. Tjalling Bosse Aachen Pathology

    Leiden University Medical Center

    Affiliation as printed

    Pathology, Leiden University medical center, Leiden, Netherlands