ResearcherZhejiang Cancer HospitalActive in the last 2 years
Peng Liu
Matched on ORCID iD 0000-0002-9023-2344; OpenAlex author ID A5100346865. Sources: OpenAlex.
Their work
- Papers
- 8 (first author 2, last author 3)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 11
2011: 1 paper · 2012: none · 2013: none · 2014: none · 2015: 1 paper · 2016: none · 2017: none · 2018: none · 2019: none · 2020: 1 paper · 2021: none · 2022: none · 2023: 1 paper · 2024: none · 2025: 4 papers
Papers 8
- Development and Validation of a Predictive Model for Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma Using Subjective Imaging and Clinical Data. Last author DOI 10.1002/cam4.71280↗
- Interpretable Prognostic Modeling for Postoperative Pancreatic Cancer Using Multi-machine Learning and Habitat Radiomics: A Multi-center Study. Last author DOI 10.1016/j.acra.2025.04.025↗
- Multiscale deep learning radiomics for predicting recurrence-free survival in pancreatic cancer: A multicenter study. Co-author DOI 10.1016/j.radonc.2025.110770↗
- Development and validation of a CT-measured body composition radiomics model for prognostic assessment in resected pancreatic adenocarcinoma. First author DOI 10.1038/s41598-025-14397-y↗
- CT-measured body composition radiomics predict lymph node metastasis in localized pancreatic ductal adenocarcinoma. Last author DOI 10.1007/s12672-023-00624-3↗
- Applying a radiomics-based strategy to preoperatively predict lymph node metastasis in the resectable pancreatic ductal adenocarcinoma. Co-author DOI 10.3233/xst-200730↗
- Elevated serum CA72-4 levels predict poor prognosis in pancreatic adenocarcinoma after intensity-modulated radiation therapy. Co-author DOI 10.18632/oncotarget.3562↗
- Complications after pancreaticoduodenectomy for pancreatic cancer: a retrospective study. First author DOI 10.9738/cc17.1↗
Closest collaborators
The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Qianbiao Gu · 6 shared papers, 2020–2025 · strength 1.51
- Paper Development and validation of a CT-measured body composition radiomics model for prognostic assessment in resected panc… DOI 10.1038/s41598-025-14397-y↗
- Paper Development and Validation of a Predictive Model for Occult Liver Metastasis in Pancreatic Ductal Adenocarcinoma Using … DOI 10.1002/cam4.71280↗
- Paper Interpretable Prognostic Modeling for Postoperative Pancreatic Cancer Using Multi-machine Learning and Habitat Radiomic… DOI 10.1016/j.acra.2025.04.025↗
- Yaqiong He · 2 shared papers, 2025 · strength 0.61
- Paper Development and validation of a CT-measured body composition radiomics model for prognostic assessment in resected panc… DOI 10.1038/s41598-025-14397-y↗
- Paper Interpretable Prognostic Modeling for Postoperative Pancreatic Cancer Using Multi-machine Learning and Habitat Radiomic… DOI 10.1016/j.acra.2025.04.025↗
- Yan Xing · 2 shared papers, 2025 · strength 0.57
- Paper Interpretable Prognostic Modeling for Postoperative Pancreatic Cancer Using Multi-machine Learning and Habitat Radiomic… DOI 10.1016/j.acra.2025.04.025↗
- Paper Multiscale deep learning radiomics for predicting recurrence-free survival in pancreatic cancer: A multicenter study. DOI 10.1016/j.radonc.2025.110770↗
- Jia‐Bei Liu · 1 shared paper, 2025 · strength 0.28
- Xiang Chen · 1 shared paper, 2023 · strength 0.20
- Feng Huang · 1 shared paper, 2020 · strength 0.13
- Luying Liu · 1 shared paper, 2015 · strength 0.08
- Wenbin Ji · 1 shared paper, 2011 · strength 0.03
- Jiahong Dong · 1 shared paper, 2011 · strength 0.03
- Shiyan Ren · 1 shared paper, 2011 · strength 0.03
- Rong Liu · 1 shared paper, 2011 · strength 0.03
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.