ResearcherUniversity of Nebraska Medical CenterActive in the last 2 years
Jeffrey Wong
Known by name at one institution; no external author ID yet. Sources: OpenAlex.
Their work
- Papers
- 3
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 11
2021: 1 paper · 2022: 1 paper · 2023: none · 2024: 1 paper
Papers 3
- 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↗
- Compute Tomography Radiomics Analysis on Whole Pancreas Between Healthy Individual and Pancreatic Ductal Adenocarcinoma Patients: Uncertainty Analysis and Pred… Co-author DOI 10.1177/15330338221126869↗
- Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. Co-author DOI 10.1038/s41598-021-95152-x↗
Closest collaborators
The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Michael Anthony Hollingsworth · 2 shared papers, 2021–2024 · strength 0.31
- 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 Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. DOI 10.1038/s41598-021-95152-x↗
- Dandan Zheng · 2 shared papers, 2021–2024 · strength 0.31
- 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 Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. DOI 10.1038/s41598-021-95152-x↗
- Michael J. Baine · 2 shared papers, 2021–2024 · strength 0.31
- 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 Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. DOI 10.1038/s41598-021-95152-x↗
- Chi H. Lin · 2 shared papers, 2021–2022 · strength 0.29
- Paper Compute Tomography Radiomics Analysis on Whole Pancreas Between Healthy Individual and Pancreatic Ductal Adenocarcinoma… DOI 10.1177/15330338221126869↗
- Paper Effects of interobserver and interdisciplinary segmentation variabilities on CT-based radiomics for pancreatic cancer. DOI 10.1038/s41598-021-95152-x↗
- Kiersten Preuss · 1 shared paper, 2024 · strength 0.18
- 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
- Hongfeng Yu · 1 shared paper, 2024 · strength 0.18
- Shuo Wang · 1 shared paper, 2022 · strength 0.16
- Chang Liu · 1 shared paper, 2022 · strength 0.16
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.