ResearcherChanghai HospitalNo recent work listed
Ling Zhang
Matched on ORCID iD 0000-0001-8371-5252; OpenAlex author ID A5038765418. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 0, last author 2)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 19
2021: 1 paper · 2022: none · 2023: 3 papers
Papers 4
- Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Co-author DOI 10.1038/s41591-023-02640-w↗
- Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study. Last author DOI 10.1097/sla.0000000000005465↗
- Artificial Intelligence to Predict Lymph Node Metastasis at CT in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1148/radiol.220329↗
- DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imagin… Last author DOI 10.1016/j.media.2021.102150↗
Closest collaborators
The 19 strongest of 19 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Jiawen Yao · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Kai Cao · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Yu Shi · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Gang Jin · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Jianping Lu · 2 shared papers, 2023 · strength 0.30
- Hui Jiang · 2 shared papers, 2023 · strength 0.28
- Rong Zhang · 2 shared papers, 2023 · strength 0.25
- Jianping Lu · 2 shared papers, 2021–2023 · strength 0.25
- Yun Bian · 1 shared paper, 2023 · strength 0.17
- Jieyu Yu · 1 shared paper, 2023 · strength 0.17
- Chengwei Shao · 1 shared paper, 2023 · strength 0.17
- Feng Gao · 1 shared paper, 2023 · strength 0.13
- Alan Yuille · 1 shared paper, 2023 · strength 0.12
- Xu Han · 1 shared paper, 2023 · strength 0.12
- Qi Zhang · 1 shared paper, 2023 · strength 0.12
- Michal Vočka · 1 shared paper, 2023 · strength 0.12
- Lukáš Lambert · 1 shared paper, 2023 · strength 0.12
- Xin Chen · 1 shared paper, 2023 · strength 0.12
- Tingbo Liang · 1 shared paper, 2023 · strength 0.12
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.