Pancreatic Cancer Research

ResearcherTUM KlinikumActive in the last 2 years

Georgios A. Kaissis

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

Matched on ORCID iD 0000-0001-8382-8062; OpenAlex author ID A5000554104. Sources: OpenAlex.

Their work

Papers
15 (first author 2, last author 0)
Trials
0
Grants
0
Labs led
0
Collaborators
54
Papers, trials and grants by year

2019: 4 papers · 2020: 4 papers · 2021: 2 papers · 2022: 1 paper · 2023: none · 2024: 1 paper · 2025: 3 papers

Papers 15

  1. Correction to: Functional biomarkers derived from computed tomography and magnetic resonance imaging differentiate PDAC subgroups and reveal gemcitabine‑induce… Co-author DOI 10.1007/s00259-025-07195-1↗
  2. Neural invasion severity is a strong predictor of local recurrence in pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.surg.2024.109018↗
  3. Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma. Co-author DOI 10.1038/s41551-024-01273-9↗
  4. Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter study. Co-author DOI 10.1016/j.esmoop.2023.102219↗
  5. Functional biomarkers derived from computed tomography and magnetic resonance imaging differentiate PDAC subgroups and reveal gemcitabine-induced hypo-vascular… Co-author DOI 10.1007/s00259-022-05930-6↗
  6. [18F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s13550-021-00808-4↗
  7. Prediction of Tumor Cellularity in Resectable PDAC from Preoperative Computed Tomography Imaging. First author DOI 10.3390/cancers13092069↗
  8. Implementing cell-free DNA of pancreatic cancer patient-derived organoids for personalized oncology. Co-author DOI 10.1172/jci.insight.137809↗
  9. Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/jcm9030724↗
  10. Multiparametric Modelling of Survival in Pancreatic Ductal Adenocarcinoma Using Clinical, Histomorphological, Genetic and Image-Derived Parameters. Co-author DOI 10.3390/jcm9051250↗
  11. Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC… First author DOI 10.3390/jcm9124013↗
  12. A machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma from preoperative diffusion-weighted imaging. Co-author DOI 10.1186/s41747-019-0119-0↗
  13. Borderline-resectable pancreatic adenocarcinoma: Contour irregularity of the venous confluence in pre-operative computed tomography predicts histopathological … Co-author DOI 10.1371/journal.pone.0208717↗
  14. A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX … Co-author DOI 10.1371/journal.pone.0218642↗
  15. Pancreatic cancer detection and characterization-state of the art cross-sectional imaging and imaging data analysis. Co-author DOI 10.21037/tgh.2019.05.04↗

Closest collaborators

The 25 strongest of 54 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

  1. Rickmer Braren · 15 shared papers, 2019–2025 · strength 1.92
  2. Wilko Weichert · 10 shared papers, 2019–2025 · strength 1.05
  3. Fabian Karl Lohöfer · 9 shared papers, 2019–2025 · strength 0.98
  4. Jens Thomas Siveke · 8 shared papers, 2019–2025 · strength 0.90
  5. Felix N. Harder · 7 shared papers, 2020–2025 · strength 0.85
  6. Sebastian Ziegelmayer · 8 shared papers, 2019–2021 · strength 0.79
  7. Roland Michael Schmid · 7 shared papers, 2019–2025 · strength 0.69
  8. Friederike Jungmann · 6 shared papers, 2020–2024 · strength 0.68
  9. Helmut Friess · 5 shared papers, 2019–2025 · strength 0.62
  10. Hana Algül · 5 shared papers, 2019–2025 · strength 0.56
  11. Irina Heid · 4 shared papers, 2020–2025 · strength 0.54
  12. Alexander Muckenhuber · 5 shared papers, 2019–2021 · strength 0.44
  13. Guralp Onur Ceyhan · 3 shared papers, 2019–2025 · strength 0.39
  14. Lucia Liotta · 3 shared papers, 2020–2025 · strength 0.39
  15. Helmut Frieß · 4 shared papers, 2019–2021 · strength 0.35
  16. İhsan Ekin Demir · 2 shared papers, 2021–2025 · strength 0.34
  17. Anna Melissa Schlitter · 2 shared papers, 2020–2025 · strength 0.33
  18. Maximilian Reichert · 3 shared papers, 2020–2025 · strength 0.32
  19. Marija Trajkovic‐Arsic · 2 shared papers, 2022–2025 · strength 0.32
  20. Stephan Schorn · 1 shared paper, 2025 · strength 0.24
  21. Matthias M. Gaida · 1 shared paper, 2025 · strength 0.24
  22. Katja Peschke · 2 shared papers, 2020–2025 · strength 0.22
  23. Aristeidis Papargyriou · 2 shared papers, 2020–2025 · strength 0.22
  24. Sebastian Lange · 2 shared papers, 2020–2025 · strength 0.22
  25. Roland Rad · 2 shared papers, 2020–2025 · strength 0.22

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.