ResearcherSun Yat-sen UniversityActive in the last 2 years
Siya Shi
Matched on ORCID iD 0000-0002-1416-9128; OpenAlex author ID A5012889772. Sources: OpenAlex.
Their work
- Papers
- 6 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 6
2022: 1 paper · 2023: none · 2024: 1 paper · 2025: 1 paper · 2026: 3 papers
Papers 6
- Dual-layer spectral detector CT: a non-invasive tool for simultaneously predicting Ki-67 proliferation status and p53 mutations in pancreatic ductal adenocarci… Co-author DOI 10.1007/s00261-025-05115-3↗
- Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. Co-author DOI 10.1007/s00261-026-05529-7↗
- Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction via dual-layer spectral CT. First author DOI 10.1186/s13244-026-02216-5↗
- Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adenocarcinoma. Co-author DOI 10.1097/js9.0000000000002059↗
- Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases… Co-author DOI 10.1097/js9.0000000000001213↗
- Tumor fibrosis correlates with the survival of patients with pancreatic adenocarcinoma and is predictable using clinicoradiological features. Co-author DOI 10.1007/s00330-022-08745-z↗
Closest collaborators
The 6 strongest of 6 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yanji Luo · 6 shared papers, 2022–2026 · strength 1.47
- Paper Dual-layer spectral detector CT: a non-invasive tool for simultaneously predicting Ki-67 proliferation status and p53 m… DOI 10.1007/s00261-025-05115-3↗
- Paper Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. DOI 10.1007/s00261-026-05529-7↗
- Paper Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction … DOI 10.1186/s13244-026-02216-5↗
- Shi‐Ting Feng · 5 shared papers, 2022–2026 · strength 1.18
- Paper Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. DOI 10.1007/s00261-026-05529-7↗
- Paper Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction … DOI 10.1186/s13244-026-02216-5↗
- Paper Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adeno… DOI 10.1097/js9.0000000000002059↗
- Jiawei Liu · 3 shared papers, 2025–2026 · strength 0.82
- Paper Preoperative prediction of perineural invasion in pancreatic ductal adenocarcinoma using dual-layer spectral CT. DOI 10.1007/s00261-026-05529-7↗
- Paper Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction … DOI 10.1186/s13244-026-02216-5↗
- Paper Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adeno… DOI 10.1097/js9.0000000000002059↗
- Jian Zhang · 2 shared papers, 2024–2025 · strength 0.44
- Paper Development and validation of a CT-based radiomics model to predict survival-graded fibrosis in pancreatic ductal adeno… DOI 10.1097/js9.0000000000002059↗
- Paper Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identi… DOI 10.1097/js9.0000000000001213↗
- Jiaxin Yuan · 1 shared paper, 2026 · strength 0.29
- Ziping Li · 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.