Pancreatic Cancer Research

ResearcherJohns Hopkins UniversityActive in the last 2 years

Linda Chi Hang Chu

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0001-9729-2756; OpenAlex author ID A5070486532. Sources: OpenAlex.

Their work

Papers
31 (first author 4, last author 7)
Trials
0
Grants
0
Labs led
1
Collaborators
104
Papers, trials and grants by year

2017: 1 paper · 2018: none · 2019: 2 papers · 2020: 6 papers · 2021: 2 papers · 2022: 1 paper · 2023: 6 papers · 2024: 5 papers · 2025: 4 papers · 2026: 4 papers

Papers 31

  1. Detection of small pancreatic ductal adenocarcinoma: The potential of cinematic rendering in earlier lesion detection. Co-author DOI 10.1067/j.cpradiol.2025.10.018↗
  2. First-in-human testing of a mutant KRAS vaccine for pancreatic cancer interception in high-risk cohorts. Co-author DOI 10.1158/2159-8290.cd-25-2245↗
  3. Radiomics in Early Detection of Pancreatic Ductal Adenocarcinoma: A Close Look at Its Current Status and Challenges to Clinical Implementation. Last author DOI 10.1177/08465371251351810↗
  4. From Bench to Bedside: The Path Toward Real-World Translation for Artificial Intelligence in Pancreatic Cancer Detection. Last author DOI 10.3348/kjr.2026.0003↗
  5. Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques. Last author DOI 10.1007/s00261-024-04644-7↗
  6. Mild Dilatation of the Main Pancreatic Duct Is a Risk Factor for Progression to Pancreatic Cancer in High-Risk Individuals. Co-author DOI 10.1016/j.gastha.2025.100802↗
  7. Early detection of pancreatic cancer on computed tomography: advancements with deep learning. Last author DOI 10.1093/radadv/umaf028↗
  8. Factors Associated With Aborted Whipple Procedures for Periampullary Carcinoma: A Multicenter Case-Control Study by the SAR Pancreatic Ductal Adenocarcinoma Di… Co-author DOI 10.2214/ajr.24.32160↗
  9. Hidden in plain sight: commonly missed early signs of pancreatic cancer on CT. First author DOI 10.1007/s00261-024-04334-4↗
  10. Early detection of pancreatic cancer in the era of precision medicine. Last author DOI 10.1007/s00261-024-04358-w↗
  11. Diminishing calcifications as a potential predictor of pancreatic ductal adenocarcinoma arising in association with IPMN in patients with chronic pancreatitis. Co-author DOI 10.1016/j.radcr.2024.08.018↗
  12. Factors associated with radiological misstaging of pancreatic ductal adenocarcinoma: A retrospective observational study. Co-author DOI 10.1067/j.cpradiol.2024.03.001↗
  13. Pancreatic ductal adenocarcinoma staging: a narrative review of radiologic techniques and advances. Co-author DOI 10.1097/js9.0000000000000899↗
  14. Postoperative surveillance of pancreatic ductal adenocarcinoma (PDAC) recurrence: practice pattern on standardized imaging and reporting from the society of ab… Co-author DOI 10.1007/s00261-022-03693-0↗
  15. Determination of "borderline resectable" pancreatic cancer - A global assessment of 30 shades of grey. Co-author DOI 10.1016/j.hpb.2023.07.883↗
  16. Screening for pancreatic cancer has the potential to save lives, but is it practical? Co-author DOI 10.1080/17474124.2023.2217354↗
  17. Radiologists' Expectations of Artificial Intelligence in Pancreatic Cancer Imaging: How Good Is Good Enough? Co-author DOI 10.1097/rct.0000000000001503↗
  18. Artificial Intelligence Outperforms Radiologists for Pancreatic Cancer Lymph Node Metastasis Prediction at CT. Co-author DOI 10.1148/radiol.222012↗
  19. Imaging of Pancreatic Ductal Adenocarcinoma: An Update on Recent Advances. Co-author DOI 10.1177/08465371221124927↗
  20. The Impact of the COVID-19 Pandemic on Multidisciplinary Clinics: A High-Volume Pancreatic Cancer Center Experience. Co-author DOI 10.1067/j.cpradiol.2022.05.001↗
  21. Pancreatic Cancer Imaging: A New Look at an Old Problem. Co-author DOI 10.1067/j.cpradiol.2020.08.002↗
  22. CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. Last author DOI 10.2214/ajr.20.23490↗
  23. Pitfalls in the MDCT of pancreatic cancer: strategies for minimizing errors. Last author DOI 10.1007/s00261-019-02390-9↗
  24. 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↗
  25. Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer… First author DOI 10.1016/j.diii.2019.09.002↗
  26. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features. First author DOI 10.1016/j.diii.2020.03.002↗
  27. Deep learning for pancreatic cancer detection: current challenges and future strategies. Co-author DOI 10.1016/s2589-7500(20)30105-9↗
  28. Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma. First author DOI 10.3322/caac.21626↗
  29. Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. Co-author DOI 10.1016/j.jacr.2019.05.034↗
  30. Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. Co-author DOI 10.2214/ajr.18.20901↗
  31. Diagnosis and Detection of Pancreatic Cancer. Co-author DOI 10.1097/ppo.0000000000000290↗

Closest collaborators

The 25 strongest of 104 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Elliot K. Fishman · 25 shared papers, 2017–2026 · strength 5.15
  2. Satomi Kawamoto · 16 shared papers, 2019–2026 · strength 2.93
  3. Ralph H. Hruban MD · 13 shared papers, 2019–2025 · strength 1.96
  4. Felipe Lopez-Ramirez · 5 shared papers, 2024–2026 · strength 1.43
  5. Hajra Arshad · 3 shared papers, 2026 · strength 1.10
  6. Taha Muneer Ahmed · 5 shared papers, 2023–2024 · strength 1.06
  7. Jin Peng He · 7 shared papers, 2020–2025 · strength 1.06
  8. Florent Tixier · 3 shared papers, 2025–2026 · strength 0.97
  9. Ammar A. Javed · 5 shared papers, 2022–2024 · strength 0.93
  10. Mohammad Yasrab · 4 shared papers, 2024 · strength 0.88
  11. Alan Yuille · 7 shared papers, 2019–2021 · strength 0.78
  12. Michael Goggins · 4 shared papers, 2017–2026 · strength 0.74
  13. Emir A. Syailendra · 2 shared papers, 2025–2026 · strength 0.64
  14. Zhen J. Wang · 3 shared papers, 2023–2025 · strength 0.56
  15. Samuel Joseph Galgano · 3 shared papers, 2023–2025 · strength 0.56
  16. Elizabeth M. Hecht · 3 shared papers, 2023–2025 · strength 0.56
  17. Avinash R. Kambadakone · 3 shared papers, 2023–2025 · strength 0.56
  18. Seyoun Park · 5 shared papers, 2019–2021 · strength 0.56
  19. Bert Vogelstein · 5 shared papers, 2019–2023 · strength 0.56
  20. Kenneth W. Kinzler · 5 shared papers, 2019–2023 · strength 0.56
  21. Atif Zaheer · 4 shared papers, 2020–2025 · strength 0.54
  22. Philippe A. Soyer · 2 shared papers, 2023–2026 · strength 0.51
  23. Richard Andrew Burkhart · 3 shared papers, 2020–2025 · strength 0.45
  24. Elizabeth Abou Diwan · 2 shared papers, 2025–2026 · strength 0.45
  25. Daniel A. Laheru · 3 shared papers, 2022–2026 · strength 0.44

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.