ResearcherUniversity of Nebraska–LincolnActive in the last 2 years
Yu Shi
Matched on ORCID iD 0000-0003-1940-0074; OpenAlex author ID A5100328458. Sources: OpenAlex.
Their work
- Papers
- 7 (first author 1, last author 2)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 28
2018: 2 papers · 2019: none · 2020: 1 paper · 2021: 1 paper · 2022: none · 2023: 2 papers · 2024: 1 paper
Papers 7
- radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer. Co-author DOI 10.1038/s41598-024-62741-5↗
- 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. Co-author DOI 10.1097/sla.0000000000005465↗
- DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imagin… First author DOI 10.1016/j.media.2021.102150↗
- Pancreatic adenocarcinoma: quantitative CT features are correlated with fibrous stromal fraction and help predict outcome after resection. Last author DOI 10.1007/s00330-020-06853-2↗
- Differentiation of pancreatic ductal adenocarcinoma from inflammatory mass: added value of magnetic resonance elastography. Last author DOI 10.1016/j.crad.2018.05.016↗
- The use of magnetic resonance elastography in differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma: A preliminary study. Co-author DOI 10.1016/j.ejrad.2018.09.001↗
Closest collaborators
The 25 strongest of 28 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↗
- Ling Zhang · 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↗
- 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↗
- Rong Zhang · 2 shared papers, 2023 · strength 0.25
- Jianping Lu · 2 shared papers, 2021–2023 · strength 0.25
- Xiaoli Cai · 2 shared papers, 2018–2020 · strength 0.20
- Paper Pancreatic adenocarcinoma: quantitative CT features are correlated with fibrous stromal fraction and help predict outco… DOI 10.1007/s00330-020-06853-2↗
- Paper The use of magnetic resonance elastography in differentiating autoimmune pancreatitis from pancreatic ductal adenocarci… DOI 10.1016/j.ejrad.2018.09.001↗
- Kiersten Preuss · 1 shared paper, 2024 · strength 0.18
- Chi Zhang · 1 shared paper, 2024 · strength 0.18
- Michael Anthony Hollingsworth · 1 shared paper, 2024 · strength 0.18
- Paul M. Grandgenett · 1 shared paper, 2024 · strength 0.18
- Jeffrey Wong · 1 shared paper, 2024 · strength 0.18
- Hongfeng Yu · 1 shared paper, 2024 · strength 0.18
- Dandan Zheng · 1 shared paper, 2024 · strength 0.18
- Michael J. Baine · 1 shared paper, 2024 · strength 0.18
- Jianping Lu · 1 shared paper, 2023 · strength 0.13
- 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
- Hui Jiang · 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.