Jens Kleesiek

Closest collaborators

The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Jens Thomas Siveke · 3 shared papers, 2022–2026 · strength 0.50
   • Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491↗
   • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
   • Paper Multimodal survival prediction in advanced pancreatic cancer using machine learning. DOI 10.1016/j.esmoop.2022.100555↗
2. Rickmer Braren · 2 shared papers, 2024–2026 · strength 0.38
   • Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491↗
   • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
3. Julius Keyl · 2 shared papers, 2022–2024 · strength 0.27
   • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
   • Paper Multimodal survival prediction in advanced pancreatic cancer using machine learning. DOI 10.1016/j.esmoop.2022.100555↗
4. Stefan Kasper · 2 shared papers, 2022–2024 · strength 0.27
   • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
   • Paper Multimodal survival prediction in advanced pancreatic cancer using machine learning. DOI 10.1016/j.esmoop.2022.100555↗
5. Alexander Muckenhuber · 1 shared paper, 2026 · strength 0.23
   • Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491↗
6. Klaus Hermann Maier-Hein · 1 shared paper, 2026 · strength 0.23
   • Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491↗
7. Maximilian Fischer · 1 shared paper, 2026 · strength 0.23
   • Paper Contrastive virtual staining enhances deep learning-based PDAC subtyping from H&E-stained tissue cores. DOI 10.1002/path.6491↗
8. Georgios A. Kaissis · 1 shared paper, 2024 · strength 0.15
   • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
9. Hideo Andreas Baba · 1 shared paper, 2024 · strength 0.15
   • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
10. Friederike Jungmann · 1 shared paper, 2024 · strength 0.15
    • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
11. Timm M. Reißig · 1 shared paper, 2024 · strength 0.15
    • Paper Prognostic value of deep learning-derived body composition in advanced pancreatic cancer-a retrospective multicenter st… DOI 10.1016/j.esmoop.2023.102219↗
12. Julian Götze · 1 shared paper, 2022 · strength 0.12
    • Paper Multimodal survival prediction in advanced pancreatic cancer using machine learning. DOI 10.1016/j.esmoop.2022.100555↗
13. Marianne Sinn · 1 shared paper, 2022 · strength 0.12
    • Paper Multimodal survival prediction in advanced pancreatic cancer using machine learning. DOI 10.1016/j.esmoop.2022.100555↗
14. Marcel Wiesweg · 1 shared paper, 2022 · strength 0.12
    • Paper Multimodal survival prediction in advanced pancreatic cancer using machine learning. DOI 10.1016/j.esmoop.2022.100555↗

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.