ResearcherFirst Affiliated Hospital of Soochow UniversityActive in the last 2 years

Jinzhou Zhu

ORCID-verified (high confidence, 0.95), identity_conf@1As of 8 November 2026

Matched on ORCID iD 0000-0003-0544-9248; OpenAlex author ID A5025043316. Sources: OpenAlex.

Their work

Papers: 4 (first author 0, last author 1)
Trials: 0
Grants: 0
Labs led: 0
Collaborators: 7

Papers, trials and grants by year

2022: 2 papers · 2023: none · 2024: none · 2025: 2 papers

Papers 4

The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. Co-author DOI 10.1186/s12876-025-04119-z ↗
Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer. Co-author DOI 10.1186/s12885-025-14889-0 ↗
Pancreatic cancer incidence and mortality patterns in 2006-2015 and prediction of the epidemiological trend to 2025 in China. Co-author DOI 10.12998/wjcc.v10.i14.4404 ↗
The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Cancer: A SEER-Based Study. Last author DOI 10.3390/cancers14194667 ↗

Closest collaborators

The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

Songbing Qin · 2 shared papers, 2025 · strength 0.50
- Paper The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. DOI 10.1186/s12876-025-04119-z ↗
- Paper Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer. DOI 10.1186/s12885-025-14889-0 ↗
Jinli Li · 2 shared papers, 2025 · strength 0.50
- Paper The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. DOI 10.1186/s12876-025-04119-z ↗
- Paper Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer. DOI 10.1186/s12885-025-14889-0 ↗
Zheng Dou · 2 shared papers, 2025 · strength 0.50
- Paper The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. DOI 10.1186/s12876-025-04119-z ↗
- Paper Development of a radiomics-3D deep learning fusion model for prognostic prediction in pancreatic cancer. DOI 10.1186/s12885-025-14889-0 ↗
Jiaxi Lin · 2 shared papers, 2022–2025 · strength 0.42
- Paper The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. DOI 10.1186/s12876-025-04119-z ↗
- Paper The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Can… DOI 10.3390/cancers14194667 ↗
Minyue Yin · 2 shared papers, 2022 · strength 0.35
- Paper Pancreatic cancer incidence and mortality patterns in 2006-2015 and prediction of the epidemiological trend to 2025 in … DOI 10.12998/wjcc.v10.i14.4404 ↗
- Paper The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Can… DOI 10.3390/cancers14194667 ↗
Chunfang Xu · 2 shared papers, 2022 · strength 0.35
- Paper Pancreatic cancer incidence and mortality patterns in 2006-2015 and prediction of the epidemiological trend to 2025 in … DOI 10.12998/wjcc.v10.i14.4404 ↗
- Paper The Development of a Prediction Model Based on Random Survival Forest for the Postoperative Prognosis of Pancreatic Can… DOI 10.3390/cancers14194667 ↗
Xiaoting Ma · 1 shared paper, 2025 · strength 0.26
- Paper The development of a multimodal prediction model based on CT and MRI for the prognosis of pancreatic cancer. DOI 10.1186/s12876-025-04119-z ↗

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.