ResearcherRadboud University Medical CenterActive in the last 2 years
Pierpaolo Vendittelli
Matched on ORCID iD 0000-0001-6712-3708; OpenAlex author ID A5024585271. Sources: OpenAlex.
Their work
- Papers
- 5
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 13
2022: 1 paper · 2023: 1 paper · 2024: 1 paper · 2025: 1 paper · 2026: 1 paper
Papers 5
- 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↗
- End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. Co-author DOI 10.1007/s00330-025-11694-y↗
- Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer. Co-author DOI 10.1371/journal.pone.0301969↗
- Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. Co-author DOI 10.1053/j.gastro.2023.04.003↗
- Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. Co-author DOI 10.3390/cancers14143498↗
Closest collaborators
The 13 strongest of 13 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Geert J. S. Litjens · 3 shared papers, 2023–2025 · strength 0.66
- Paper Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer. DOI 10.1371/journal.pone.0301969↗
- 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↗
- John J. Hermans · 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↗
- Megan Schuurmans · 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↗
- Natália Alves · 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↗
- HenkJan J. Huisman · 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↗
- Caroline Sophie Verbeke · 2 shared papers, 2023–2024 · strength 0.42
- Núria Malats · 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↗
- Valentyna Kryklyva · 1 shared paper, 2024 · strength 0.24
- E. Smeets · 1 shared paper, 2024 · strength 0.24
- Lodewijk A.A. Brosens · 1 shared paper, 2024 · strength 0.24
- Nannan Xue · 1 shared paper, 2025 · strength 0.24
- Matthias J. Löhr · 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.