Seung Hyup Hyun

Closest collaborators

The 17 strongest of 17 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Joon Young Choi · 5 shared papers, 2016–2026 · strength 0.89
   • Paper Prognostic Value of Pseudotime from Texture Parameters of [18F]fluorodeoxyglucose PET/CT in Resectable Pancreatic Ducta… DOI 10.1016/j.acra.2025.10.016↗
   • Paper Prognostic Significance of 18 F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Under… DOI 10.1097/rlu.0000000000005363↗
   • Paper Correction to: Imaging phenotype using 18F-fluorodeoxyglucose positron emission tomography-based radiomics and genetic … DOI 10.1007/s00259-020-04850-7↗
2. Jin Seok Heo · 3 shared papers, 2024–2026 · strength 0.81
   • Paper Prognostic Value of Pseudotime from Texture Parameters of [18F]fluorodeoxyglucose PET/CT in Resectable Pancreatic Ducta… DOI 10.1016/j.acra.2025.10.016↗
   • Paper Prognostic Significance of 18 F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Under… DOI 10.1097/rlu.0000000000005363↗
   • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
3. Kwang Hyuck Lee · 3 shared papers, 2016–2026 · strength 0.63
   • Paper Prognostic Value of Pseudotime from Texture Parameters of [18F]fluorodeoxyglucose PET/CT in Resectable Pancreatic Ducta… DOI 10.1016/j.acra.2025.10.016↗
   • Paper Prognostic Significance of 18 F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Under… DOI 10.1097/rlu.0000000000005363↗
   • Paper Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00259-016-3316-6↗
4. Ji Hye Min · 3 shared papers, 2020–2025 · strength 0.50
   • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
   • Paper Correction to: Imaging phenotype using 18F-fluorodeoxyglucose positron emission tomography-based radiomics and genetic … DOI 10.1007/s00259-020-04850-7↗
   • Paper Imaging phenotype using 18F-fluorodeoxyglucose positron emission tomography-based radiomics and genetic alterations of … DOI 10.1007/s00259-020-04698-x↗
5. Wonseok Whi · 1 shared paper, 2026 · strength 0.33
   • Paper Prognostic Value of Pseudotime from Texture Parameters of [18F]fluorodeoxyglucose PET/CT in Resectable Pancreatic Ducta… DOI 10.1016/j.acra.2025.10.016↗
6. Jeong Il Yu · 1 shared paper, 2026 · strength 0.33
   • Paper Prognostic Value of Pseudotime from Texture Parameters of [18F]fluorodeoxyglucose PET/CT in Resectable Pancreatic Ducta… DOI 10.1016/j.acra.2025.10.016↗
7. Chae Hong Lim · 2 shared papers, 2020 · strength 0.26
   • Paper Correction to: Imaging phenotype using 18F-fluorodeoxyglucose positron emission tomography-based radiomics and genetic … DOI 10.1007/s00259-020-04850-7↗
   • Paper Imaging phenotype using 18F-fluorodeoxyglucose positron emission tomography-based radiomics and genetic alterations of … DOI 10.1007/s00259-020-04698-x↗
8. Jang Yoo · 1 shared paper, 2024 · strength 0.24
   • Paper Prognostic Significance of 18 F-FDG PET/CT Radiomics in Patients With Resectable Pancreatic Ductal Adenocarcinoma Under… DOI 10.1097/rlu.0000000000005363↗
9. So Jeong Yoon · 1 shared paper, 2025 · strength 0.24
   • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
10. In Woong Han · 1 shared paper, 2025 · strength 0.24
    • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
11. Hochang Chae · 1 shared paper, 2025 · strength 0.24
    • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
12. Hongbeom Kim · 1 shared paper, 2025 · strength 0.24
    • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
13. Sang Hyun Shin · 1 shared paper, 2025 · strength 0.24
    • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
14. Hye Jeong Jeong · 1 shared paper, 2025 · strength 0.24
    • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
15. Hyeong Seok Kim · 1 shared paper, 2025 · strength 0.24
    • Paper Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients wi… DOI 10.1038/s41598-025-15800-4↗
16. Seong Ho Choi · 1 shared paper, 2016 · strength 0.06
    • Paper Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00259-016-3316-6↗
17. Joon Oh Park · 1 shared paper, 2016 · strength 0.06
    • Paper Intratumoral heterogeneity of (18)F-FDG uptake predicts survival in patients with pancreatic ductal adenocarcinoma. DOI 10.1007/s00259-016-3316-6↗

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.