ResearcherUniversity of Nebraska–LincolnActive in the last 2 years
Kiersten Preuss
Matched on ORCID iD 0000-0001-5508-1598; OpenAlex author ID A5089137928. Sources: OpenAlex.
Their work
- Papers
- 2
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 10
2022: 1 paper · 2023: none · 2024: 1 paper
Papers 2
- radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer. Co-author DOI 10.1038/s41598-024-62741-5↗
- Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Applications. Co-author DOI 10.3390/cancers14071654↗
Closest collaborators
The 10 strongest of 10 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Michael Anthony Hollingsworth · 2 shared papers, 2022–2024 · strength 0.33
- Paper radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenoty… DOI 10.1038/s41598-024-62741-5↗
- Paper Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Appl… DOI 10.3390/cancers14071654↗
- Hongfeng Yu · 2 shared papers, 2022–2024 · strength 0.33
- Paper radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenoty… DOI 10.1038/s41598-024-62741-5↗
- Paper Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Appl… DOI 10.3390/cancers14071654↗
- Dandan Zheng · 2 shared papers, 2022–2024 · strength 0.33
- Paper radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenoty… DOI 10.1038/s41598-024-62741-5↗
- Paper Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Appl… DOI 10.3390/cancers14071654↗
- Michael J. Baine · 2 shared papers, 2022–2024 · strength 0.33
- Paper radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenoty… DOI 10.1038/s41598-024-62741-5↗
- Paper Using Quantitative Imaging for Personalized Medicine in Pancreatic Cancer: A Review of Radiomics and Deep Learning Appl… DOI 10.3390/cancers14071654↗
- Chi Zhang · 1 shared paper, 2024 · strength 0.18
- Yu Shi · 1 shared paper, 2024 · strength 0.18
- Paul M. Grandgenett · 1 shared paper, 2024 · strength 0.18
- Jeffrey Wong · 1 shared paper, 2024 · strength 0.18
- Justin A. Chen · 1 shared paper, 2022 · strength 0.15
- Chi H. Lin · 1 shared paper, 2022 · strength 0.15
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.