Pancreatic Cancer Research

ResearcherErasmus MCActive in the last 2 years

John J. Hermans

Matched on ORCID iD 0000-0001-9207-0548; OpenAlex author ID A5013403284. Sources: OpenAlex.

Their work

Papers
20 (first author 0, last author 6)
Trials
0
Grants
0
Labs led
1
Collaborators
63
Papers, trials and grants by year

2011: 1 paper · 2012: none · 2013: none · 2014: none · 2015: none · 2016: 1 paper · 2017: none · 2018: none · 2019: 3 papers · 2020: 1 paper · 2021: 1 paper · 2022: 3 papers · 2023: 2 papers · 2024: 3 papers · 2025: 4 papers · 2026: 1 paper

Papers 20

  1. Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, … Co-author DOI 10.1016/s1470-2045(25)00567-4↗
  2. End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. Co-author DOI 10.1007/s00330-025-11694-y↗
  3. Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in patients with pancreatic adenocarcinoma. Co-author DOI 10.1016/j.pan.2025.01.011↗
  4. A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study. Co-author DOI 10.1136/gutjnl-2024-334237↗
  5. Intratumoral Holmium-166 Microsphere Injection in Patients with Unresectable Pancreatic Ductal Adenocarcinoma: A Single-Center, Single-Arm, Open-Label Feasibil… Co-author DOI 10.1159/000545246↗
  6. Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? Last author DOI 10.1016/j.hpb.2023.11.010↗
  7. Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/cancers16030577↗
  8. Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic Ductal Adenocarcinoma. Last author DOI 10.3390/diagnostics14060573↗
  9. Nationwide evaluation of pancreatic cancer networks ten years after the centralization of pancreatic surgery. Co-author DOI 10.1016/j.hpb.2023.07.904↗
  10. Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. Co-author DOI 10.1053/j.gastro.2023.04.003↗
  11. Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review. Last author DOI 10.1007/s00261-021-03190-w↗
  12. Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. Co-author DOI 10.3390/cancers14020376↗
  13. Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. Last author DOI 10.3390/cancers14143498↗
  14. Treatment strategies and clinical outcomes in consecutive patients with locally advanced pancreatic cancer: A multicenter prospective cohort. Co-author DOI 10.1016/j.ejso.2020.11.137↗
  15. Diagnostic accuracy of contrast-enhanced diffusion-weighted MRI for liver metastases of pancreatic cancer: towards adequate staging and follow-up of pancreatic… Last author DOI 10.1186/s12885-020-07226-0↗
  16. Improving preoperative detection of synchronous liver metastases in pancreatic cancer with combined contrast-enhanced and diffusion-weighted MRI. Last author DOI 10.1007/s00261-018-1867-7↗
  17. Postoperative surveillance of pancreatic cancer patients. Co-author DOI 10.1016/j.ejso.2019.05.031↗
  18. Optimal respiratory-gated [18F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patie… Co-author DOI 10.1186/s13550-019-0492-y↗
  19. A multicentre comparative prospective blinded analysis of EUS and MRI for screening of pancreatic cancer in high-risk individuals. Co-author DOI 10.1136/gutjnl-2014-308008↗
  20. Role of endoscopic ultrasonography in patients suspected of pancreatic cancer with negative helical MDCT scan. Co-author DOI 10.1159/000334074↗

Closest collaborators

The 25 strongest of 63 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. HenkJan J. Huisman · 6 shared papers, 2022–2025 · strength 1.30
  2. Natália Alves · 5 shared papers, 2022–2025 · strength 1.11
  3. Cees J. H. M. van Laarhoven · 6 shared papers, 2019–2025 · strength 1.06
  4. Megan Schuurmans · 5 shared papers, 2022–2025 · strength 1.03
  5. Martijn W.J. Stommel · 5 shared papers, 2019–2025 · strength 0.83
  6. T. H. Perik · 3 shared papers, 2022–2025 · strength 0.74
  7. Deniece Rivière · 4 shared papers, 2019–2024 · strength 0.70
  8. Núria Malats · 3 shared papers, 2023–2025 · strength 0.64
  9. Pierpaolo Vendittelli · 3 shared papers, 2022–2025 · strength 0.62
  10. Lodewijk A.A. Brosens · 3 shared papers, 2020–2024 · strength 0.59
  11. Geke Litjens · 3 shared papers, 2020–2025 · strength 0.55
  12. Erik H.J.G. Aarntzen · 3 shared papers, 2019–2024 · strength 0.50
  13. Nannan Xue · 2 shared papers, 2025 · strength 0.46
  14. Erwin J. M. van Geenen · 3 shared papers, 2019–2024 · strength 0.44
  15. Geert J. S. Litjens · 2 shared papers, 2023–2025 · strength 0.41
  16. David Kuang-Fu Chang · 2 shared papers, 2023–2024 · strength 0.40
  17. Marc G. Besselink · 3 shared papers, 2019–2023 · strength 0.32
  18. Martin Gotthardt · 2 shared papers, 2019–2024 · strength 0.32
  19. Coen Ysbrand Willink · 1 shared paper, 2025 · strength 0.26
  20. J. Frank W. Nijsen · 1 shared paper, 2025 · strength 0.26
  21. Fons van der Sommen · 1 shared paper, 2025 · strength 0.25
  22. Peter Derk Siersema · 1 shared paper, 2025 · strength 0.25
  23. Mike J.P. de Jong · 1 shared paper, 2025 · strength 0.25
  24. Lois A. Daamen · 2 shared papers, 2019–2023 · strength 0.24
  25. Gijs A. Patijn · 2 shared papers, 2021–2023 · strength 0.24

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.