ResearcherAmsterdam University Medical CentersActive in the last 2 years
Inez M. Verpalen
Matched on ORCID iD 0000-0002-3267-0637; OpenAlex author ID A5008861794, A5158663421. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 0, last author 4)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 32
2024: 1 paper · 2025: 1 paper · 2026: 3 papers
Papers 5
- Restaging the primary tumor in localized pancreatic ductal adenocarcinoma after systemic therapy: a scoping review of the role of CT, FDG-PET, and CA19-9. Last author DOI 10.1007/s00330-026-12954-1↗
- Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Ductal Adenocarcinoma. Last author DOI 10.1007/s10278-025-01555-x↗
- Real-world implementation of a decision aid for treatment decisions in metastatic pancreatic cancer: a prospective multicenter study across expert centers. Last author DOI 10.1093/oncolo/oyag373↗
- Resectability stages of pancreatic cancer: nationwide reference. Co-author DOI 10.1093/bjs/znaf120↗
- Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreatic cancer. Last author DOI 10.1186/s41747-023-00419-9↗
Closest collaborators
The 25 strongest of 32 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Marc G. Besselink · 5 shared papers, 2024–2026 · strength 1.09
- Paper Restaging the primary tumor in localized pancreatic ductal adenocarcinoma after systemic therapy: a scoping review of t… DOI 10.1007/s00330-026-12954-1↗
- Paper Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Du… DOI 10.1007/s10278-025-01555-x↗
- Paper Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreati… DOI 10.1186/s41747-023-00419-9↗
- Jacqueline Isabel Bereska · 2 shared papers, 2024–2026 · strength 0.46
- Paper Refining the Classroom: The Self-Supervised Professor Model for Improved Segmentation of Locally Advanced Pancreatic Du… DOI 10.1007/s10278-025-01555-x↗
- Paper Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreati… DOI 10.1186/s41747-023-00419-9↗
- Geert Kazemier M · 2 shared papers, 2024–2026 · strength 0.38
- Paper Artificial intelligence for assessment of vascular involvement and tumor resectability on CT in patients with pancreati… DOI 10.1186/s41747-023-00419-9↗
- Paper Real-world implementation of a decision aid for treatment decisions in metastatic pancreatic cancer: a prospective mult… DOI 10.1093/oncolo/oyag373↗
- Lois A. Daamen · 2 shared papers, 2025–2026 · strength 0.35
- Izaak Quintus Molenaar · 2 shared papers, 2025–2026 · strength 0.35
- Johanna W. Wilmink · 2 shared papers, 2025–2026 · strength 0.35
- Jeanin Elise van Hooft · 2 shared papers, 2025–2026 · strength 0.35
- Hanneke W.M. van Laarhoven · 2 shared papers, 2025–2026 · strength 0.35
- Lydia G. van der Geest · 2 shared papers, 2025–2026 · strength 0.35
- Bas Groot Koerkamp · 2 shared papers, 2025–2026 · strength 0.35
- Judith de Vos‐Geelen · 2 shared papers, 2025–2026 · strength 0.35
- Ignace H. J. T. de Hingh · 2 shared papers, 2025–2026 · strength 0.35
- Hjalmar C. van Santvoort · 2 shared papers, 2025–2026 · strength 0.35
- Marjolein Y.V. Homs · 2 shared papers, 2025–2026 · strength 0.35
- Casper H.J. van Eijck · 2 shared papers, 2025–2026 · strength 0.35
- Maarten F. Bijlsma · 2 shared papers, 2025–2026 · strength 0.35
- Marc Zins · 1 shared paper, 2026 · strength 0.29
- A. M. Lamoré · 1 shared paper, 2026 · strength 0.29
- Freek D. Daams · 1 shared paper, 2026 · strength 0.26
- Boris V. Janssen · 1 shared paper, 2024 · strength 0.20
- Hanneke W. Wilmink · 1 shared paper, 2026 · strength 0.18
- Merlijn U.J.E. Graus · 1 shared paper, 2026 · strength 0.18
- Thijmen H.T. Broekman · 1 shared paper, 2026 · strength 0.18
- Brigitte C.M. Haberkorn · 1 shared paper, 2026 · strength 0.18
- Marco J. Bruno · 1 shared paper, 2026 · strength 0.18
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.