Pancreatic Cancer Research

ResearcherJohns Hopkins UniversityActive in the last 2 years

Alan Yuille

ORCID-verified (high confidence, 0.95), identity_conf@1As of 7 November 2026

Matched on ORCID iD 0000-0001-5207-9249; OpenAlex author ID A5086706224. Sources: OpenAlex.

Their work

Papers
10 (first author 0, last author 1)
Trials
0
Grants
0
Labs led
0
Collaborators
32
Papers, trials and grants by year

2019: 2 papers · 2020: 3 papers · 2021: 3 papers · 2022: none · 2023: 1 paper · 2024: none · 2025: none · 2026: 1 paper

Papers 10

  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. Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Co-author DOI 10.1038/s41591-023-02640-w↗
  3. Pancreatic Cancer Imaging: A New Look at an Old Problem. Co-author DOI 10.1067/j.cpradiol.2020.08.002↗
  4. Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. Last author DOI 10.1109/tmi.2021.3060066↗
  5. CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2214/ajr.20.23490↗
  6. Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarci… Co-author DOI 10.1007/s00261-020-02556-w↗
  7. Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer… Co-author DOI 10.1016/j.diii.2019.09.002↗
  8. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features. Co-author DOI 10.1016/j.diii.2020.03.002↗
  9. Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. Co-author DOI 10.1016/j.jacr.2019.05.034↗
  10. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. Co-author DOI 10.2214/ajr.18.20901↗

Closest collaborators

The 25 strongest of 32 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Elliot K. Fishman · 8 shared papers, 2019–2021 · strength 0.94
  2. Linda Chi Hang Chu · 7 shared papers, 2019–2021 · strength 0.78
  3. Satomi Kawamoto · 6 shared papers, 2019–2021 · strength 0.65
  4. Ralph H. Hruban · 6 shared papers, 2019–2021 · strength 0.65
  5. Seyoun Park · 5 shared papers, 2019–2021 · strength 0.56
  6. Bert Vogelstein · 4 shared papers, 2019–2020 · strength 0.38
  7. Kenneth W. Kinzler · 4 shared papers, 2019–2020 · strength 0.38
  8. Jin Peng He · 2 shared papers, 2020–2021 · strength 0.21
  9. Yan Wang · 1 shared paper, 2021 · strength 0.16
  10. Karen M Horton · 2 shared papers, 2019 · strength 0.16
  11. Edmund M. Weisberg · 1 shared paper, 2020 · strength 0.13
  12. Jiawen Yao · 1 shared paper, 2023 · strength 0.12
  13. Ling Zhang · 1 shared paper, 2023 · strength 0.12
  14. Xu Han · 1 shared paper, 2023 · strength 0.12
  15. Jianping Lu · 1 shared paper, 2023 · strength 0.12
  16. Qi Zhang · 1 shared paper, 2023 · strength 0.12
  17. Kai Cao · 1 shared paper, 2023 · strength 0.12
  18. Michal Vočka · 1 shared paper, 2023 · strength 0.12
  19. Rong Zhang · 1 shared paper, 2023 · strength 0.12
  20. Yu Shi · 1 shared paper, 2023 · strength 0.12
  21. Lukáš Lambert · 1 shared paper, 2023 · strength 0.12
  22. Xin Chen · 1 shared paper, 2023 · strength 0.12
  23. Hui Jiang · 1 shared paper, 2023 · strength 0.12
  24. Tingbo Liang · 1 shared paper, 2023 · strength 0.12
  25. Gang Jin · 1 shared paper, 2023 · strength 0.12

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.