ResearcherSpanish National Cancer Research CentreActive in the last 2 years

Nannan Xue

Provisional: name at one institution (moderate confidence, 0.60), identity_conf@1As of 7 November 2026

Known by name at one institution; no external author ID yet. Sources: OpenAlex.

Their work

Papers: 2
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 9

Papers, trials and grants by year

2025: 2 papers

Papers 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 ↗
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 ↗

Closest collaborators

The 9 strongest of 9 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

John J. Hermans · 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 ↗
Megan Schuurmans · 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 ↗
Núria Malats · 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 ↗
Pierpaolo Vendittelli · 1 shared paper, 2025 · strength 0.24
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y ↗
Natália Alves · 1 shared paper, 2025 · strength 0.24
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y ↗
Geert J. S. Litjens · 1 shared paper, 2025 · strength 0.24
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y ↗
HenkJan J. Huisman · 1 shared paper, 2025 · strength 0.24
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y ↗
Casper W.F. van Eijck · 1 shared paper, 2025 · strength 0.22
- 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 ↗
Junqi Liu · 1 shared paper, 2025 · strength 0.22
- 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 ↗

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.