Chao Qu

Closest collaborators

The 12 strongest of 12 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.

1. Piaoe Zeng · 5 shared papers, 2022–2025 · strength 1.08
   • Paper Multiparametric quantitative diffusion weighted magnetic resonance imaging can effectively predict the response to neoa… DOI 10.1016/j.ejrad.2024.111893↗
   • Paper A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival an… DOI 10.1186/s13244-025-01915-9↗
   • Paper Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal aden… DOI 10.1177/02841851221142552↗
2. Dianrong Xiu · 4 shared papers, 2022–2025 · strength 0.82
   • Paper Multiparametric quantitative diffusion weighted magnetic resonance imaging can effectively predict the response to neoa… DOI 10.1016/j.ejrad.2024.111893↗
   • Paper Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal aden… DOI 10.1177/02841851221142552↗
   • Paper Application of Magnetic Resonance Imaging in Neoadjuvant Treatment of Pancreatic Ductal Adenocarcinoma. DOI 10.1002/jmri.28096↗
3. Huishu Yuan · 3 shared papers, 2022–2025 · strength 0.69
   • Paper Multiparametric quantitative diffusion weighted magnetic resonance imaging can effectively predict the response to neoa… DOI 10.1016/j.ejrad.2024.111893↗
   • Paper A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival an… DOI 10.1186/s13244-025-01915-9↗
   • Paper Preoperative Multiparametric Quantitative Magnetic Resonance Imaging Correlates with Prognosis and Recurrence Patterns … DOI 10.3390/cancers14174243↗
4. Jingyu Cao · 2 shared papers, 2025 · strength 0.52
   • Paper Multiparametric quantitative diffusion weighted magnetic resonance imaging can effectively predict the response to neoa… DOI 10.1016/j.ejrad.2024.111893↗
   • Paper A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival an… DOI 10.1186/s13244-025-01915-9↗
5. 胡维昱 · 1 shared paper, 2026 · strength 0.27
   • Paper Preoperative radiomics models for predicting risks of distinct recurrence patterns in pancreatic ductal adenocarcinoma … DOI 10.1038/s41598-026-37459-1↗
6. Yumin Jiang · 1 shared paper, 2026 · strength 0.27
   • Paper Preoperative radiomics models for predicting risks of distinct recurrence patterns in pancreatic ductal adenocarcinoma … DOI 10.1038/s41598-026-37459-1↗
7. Dianrong Xiu · 1 shared paper, 2025 · strength 0.26
   • Paper A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival an… DOI 10.1186/s13244-025-01915-9↗
8. Changlei Li · 1 shared paper, 2025 · strength 0.26
   • Paper A machine learning model based on preoperative multiparametric quantitative DWI can effectively predict the survival an… DOI 10.1186/s13244-025-01915-9↗
9. Huishu Yuan · 1 shared paper, 2023 · strength 0.20
   • Paper Comparison of MRI and CT-based radiomics for preoperative prediction of lymph node metastasis in pancreatic ductal aden… DOI 10.1177/02841851221142552↗
10. Chunhui Yuan · 1 shared paper, 2022 · strength 0.19
    • Paper Application of Magnetic Resonance Imaging in Neoadjuvant Treatment of Pancreatic Ductal Adenocarcinoma. DOI 10.1002/jmri.28096↗
11. Lingfu Zhang · 1 shared paper, 2022 · strength 0.16
    • Paper Preoperative Multiparametric Quantitative Magnetic Resonance Imaging Correlates with Prognosis and Recurrence Patterns … DOI 10.3390/cancers14174243↗
12. Chunhui Yuan · 1 shared paper, 2022 · strength 0.16
    • Paper Preoperative Multiparametric Quantitative Magnetic Resonance Imaging Correlates with Prognosis and Recurrence Patterns … DOI 10.3390/cancers14174243↗

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.