Pancreatic Cancer Research

ResearcherRoyal Marsden NHS Foundation TrustNo recent work listed

Oliver J. Gurney‐Champion

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0003-1750-6617; OpenAlex author ID A5001020783. Sources: OpenAlex.

Their work

Papers
9 (first author 3, last author 2)
Trials
0
Grants
0
Labs led
1
Collaborators
26
Papers, trials and grants by year

2015: 1 paper · 2016: none · 2017: 1 paper · 2018: 3 papers · 2019: none · 2020: none · 2021: 2 papers · 2022: 2 papers

Papers 9

  1. Added value of 3T MRI and the MRI-halo sign in assessing resectability of locally advanced pancreatic cancer following induction chemotherapy (IMAGE-MRI): pros… Co-author DOI 10.1007/s00423-022-02653-y↗
  2. Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer. Last author DOI 10.1016/j.media.2022.102512↗
  3. Improved unsupervised physics-informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients. Last author DOI 10.1002/mrm.28852↗
  4. Phase I/II Study of LDE225 in Combination with Gemcitabine and Nab-Paclitaxel in Patients with Metastatic Pancreatic Cancer. Co-author DOI 10.3390/cancers13194869↗
  5. Evaluation of Six Diffusion-weighted MRI Models for Assessing Effects of Neoadjuvant Chemoradiation in Pancreatic Cancer Patients. First author DOI 10.1016/j.ijrobp.2018.04.064↗
  6. Repeatability and correlations of dynamic contrast enhanced and T2* MRI in patients with advanced pancreatic ductal adenocarcinoma. First author DOI 10.1016/j.mri.2018.02.005↗
  7. Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patient… Co-author DOI 10.1371/journal.pone.0194590↗
  8. Considerable interobserver variation in delineation of pancreatic cancer on 3DCT and 4DCT: a multi-institutional study. First author DOI 10.1186/s13014-017-0777-0↗
  9. Visibility and artifacts of gold fiducial markers used for image guided radiation therapy of pancreatic cancer on MRI. Co-author DOI 10.1118/1.4918753↗

Closest collaborators

The 25 strongest of 26 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Remy Klaassen · 8 shared papers, 2015–2022 · strength 0.83
  2. Aart Johannes Nederveen · 8 shared papers, 2015–2022 · strength 0.83
  3. Hanneke W.M. van Laarhoven · 7 shared papers, 2018–2022 · strength 0.78
  4. Johanna W. Wilmink · 5 shared papers, 2018–2022 · strength 0.49
  5. Marc G. Besselink · 4 shared papers, 2018–2022 · strength 0.36
  6. Johannes Crezee · 2 shared papers, 2021–2022 · strength 0.30
  7. Arjan Bel · 4 shared papers, 2015–2018 · strength 0.26
  8. Geertjan van Tienhoven · 3 shared papers, 2015–2018 · strength 0.19
  9. Tim Ottens · 1 shared paper, 2022 · strength 0.16
  10. Misha Kaandorp · 1 shared paper, 2021 · strength 0.14
  11. Dick J. Richel · 1 shared paper, 2021 · strength 0.12
  12. Nienke Petronella Maria Wassenaar · 1 shared paper, 2021 · strength 0.12
  13. Esther N. Pijnappel · 1 shared paper, 2021 · strength 0.12
  14. L. Bengt van Rijssen · 1 shared paper, 2022 · strength 0.12
  15. Krijn P. van Lienden · 1 shared paper, 2022 · strength 0.12
  16. Leonard W. F. Seelen · 1 shared paper, 2022 · strength 0.12
  17. Eran van Veldhuisen · 1 shared paper, 2022 · strength 0.12
  18. Thomas F. Stoop · 1 shared paper, 2022 · strength 0.12
  19. Ignace H. J. T. de Hingh · 1 shared paper, 2022 · strength 0.12
  20. Hendrik A. Marsman · 1 shared paper, 2022 · strength 0.12
  21. E. Lens · 2 shared papers, 2015–2017 · strength 0.11
  22. Astrid van der Horst · 2 shared papers, 2015–2017 · strength 0.11
  23. G. Ebrahimi · 1 shared paper, 2017 · strength 0.06
  24. Eva Versteijne · 1 shared paper, 2017 · strength 0.06
  25. Antonetta C. Houweling · 1 shared paper, 2015 · strength 0.05

How to reach this person

A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.