ResearcherJohns Hopkins UniversityNo recent work listed
Seyoun Park
Matched on ORCID iD 0000-0002-6987-9362; OpenAlex author ID A5021110559. Sources: OpenAlex.
Their work
- Papers
- 5 (first author 3, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 14
2019: 2 papers · 2020: 1 paper · 2021: 2 papers
Papers 5
- Pancreatic Cancer Imaging: A New Look at an Old Problem. First author DOI 10.1067/j.cpradiol.2020.08.002↗
- CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.2214/ajr.20.23490↗
- Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarci… Co-author DOI 10.1007/s00261-020-02556-w↗
- Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. First author DOI 10.1016/j.jacr.2019.05.034↗
- Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue. First author DOI 10.2214/ajr.18.20901↗
Closest collaborators
The 14 strongest of 14 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Alan Yuille · 5 shared papers, 2019–2021 · strength 0.56
- Paper Pancreatic Cancer Imaging: A New Look at an Old Problem. DOI 10.1067/j.cpradiol.2020.08.002↗
- Paper Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from pa… DOI 10.1007/s00261-020-02556-w↗
- Paper CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. DOI 10.2214/ajr.20.23490↗
- Satomi Kawamoto · 5 shared papers, 2019–2021 · strength 0.56
- Paper Pancreatic Cancer Imaging: A New Look at an Old Problem. DOI 10.1067/j.cpradiol.2020.08.002↗
- Paper Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from pa… DOI 10.1007/s00261-020-02556-w↗
- Paper CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. DOI 10.2214/ajr.20.23490↗
- Elliot K. Fishman · 5 shared papers, 2019–2021 · strength 0.56
- Paper Pancreatic Cancer Imaging: A New Look at an Old Problem. DOI 10.1067/j.cpradiol.2020.08.002↗
- Paper Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from pa… DOI 10.1007/s00261-020-02556-w↗
- Paper CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. DOI 10.2214/ajr.20.23490↗
- Ralph H. Hruban · 5 shared papers, 2019–2021 · strength 0.56
- Paper Pancreatic Cancer Imaging: A New Look at an Old Problem. DOI 10.1067/j.cpradiol.2020.08.002↗
- Paper Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from pa… DOI 10.1007/s00261-020-02556-w↗
- Paper CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. DOI 10.2214/ajr.20.23490↗
- Linda Chi Hang Chu · 5 shared papers, 2019–2021 · strength 0.56
- Paper Pancreatic Cancer Imaging: A New Look at an Old Problem. DOI 10.1067/j.cpradiol.2020.08.002↗
- Paper Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from pa… DOI 10.1007/s00261-020-02556-w↗
- Paper CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. DOI 10.2214/ajr.20.23490↗
- Karen M Horton · 2 shared papers, 2019 · strength 0.16
- Bert Vogelstein · 2 shared papers, 2019 · strength 0.16
- Kenneth W. Kinzler · 2 shared papers, 2019 · strength 0.16
- Jin Peng He · 1 shared paper, 2021 · strength 0.12
- Jonathan G. Sham · 1 shared paper, 2021 · strength 0.12
- Noah S Rozich · 1 shared paper, 2021 · strength 0.12
- Christopher Lee Wolfgang · 1 shared paper, 2021 · strength 0.12
- Alex B. Blair · 1 shared paper, 2021 · strength 0.12
- Yan Wang · 1 shared paper, 2019 · strength 0.07
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.