ResearcherRadboud University Medical CenterActive in the last 2 years
Megan Schuurmans
Matched on ORCID iD 0000-0002-4939-6187; OpenAlex author ID A5047733349. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 3, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 14
2022: 2 papers · 2023: 1 paper · 2024: none · 2025: 2 papers · 2026: 2 papers
Papers 7
- Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, … First author DOI 10.1016/s1470-2045(25)00567-4↗
- AI-assisted screening for pancreatic cancer – Authors' reply First author DOI 10.1016/s1470-2045(26)00054-9↗
- End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. Co-author DOI 10.1007/s00330-025-11694-y↗
- 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↗
- Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. Co-author DOI 10.1053/j.gastro.2023.04.003↗
- Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. First author DOI 10.3390/cancers14020376↗
- Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. Co-author DOI 10.3390/cancers14143498↗
Closest collaborators
The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Natália Alves · 5 shared papers, 2022–2026 · strength 1.23
- Paper AI-assisted screening for pancreatic cancer – Authors' reply DOI 10.1016/s1470-2045(26)00054-9↗
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- HenkJan J. Huisman · 5 shared papers, 2022–2026 · strength 1.23
- Paper AI-assisted screening for pancreatic cancer – Authors' reply DOI 10.1016/s1470-2045(26)00054-9↗
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- John J. Hermans · 5 shared papers, 2022–2025 · strength 1.03
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational stud… DOI 10.1136/gutjnl-2024-334237↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- Núria Malats · 3 shared papers, 2023–2025 · strength 0.64
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational stud… DOI 10.1136/gutjnl-2024-334237↗
- Paper Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. DOI 10.1053/j.gastro.2023.04.003↗
- Pierpaolo Vendittelli · 3 shared papers, 2022–2025 · strength 0.62
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- Paper Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. DOI 10.1053/j.gastro.2023.04.003↗
- Nannan Xue · 2 shared papers, 2025 · strength 0.46
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational stud… DOI 10.1136/gutjnl-2024-334237↗
- John J. Hermans · 1 shared paper, 2026 · strength 0.43
- Geert J. S. Litjens · 2 shared papers, 2023–2025 · strength 0.41
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. DOI 10.1053/j.gastro.2023.04.003↗
- Casper W.F. van Eijck · 1 shared paper, 2025 · strength 0.22
- Junqi Liu · 1 shared paper, 2025 · strength 0.22
- Geke Litjens · 1 shared paper, 2022 · strength 0.19
- Matthias J. Löhr · 1 shared paper, 2023 · strength 0.18
- Caroline Sophie Verbeke · 1 shared paper, 2023 · strength 0.18
- David Kuang-Fu Chang · 1 shared paper, 2023 · 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.