ResearcherUniversity of TorontoNo recent work listed
Yucheng Zhang
Known by name at one institution; no external author ID yet. Sources: OpenAlex.
Their work
- Papers
- 4 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 4
2019: 1 paper · 2020: 2 papers · 2021: 1 paper
Papers 4
- Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images. Co-author DOI 10.1038/s41598-021-80998-y↗
- CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. Co-author DOI 10.1186/s12880-020-0418-1↗
- Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/frai.2020.550890↗
- Prognostic Value of CT Radiomic Features in Resectable Pancreatic Ductal Adenocarcinoma. First author DOI 10.1038/s41598-019-41728-7↗
Closest collaborators
The 4 strongest of 4 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Farzad Khalvati · 4 shared papers, 2019–2021 · strength 0.53
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Masoom A. Haider · 4 shared papers, 2019–2021 · strength 0.53
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Steve Gallinger · 4 shared papers, 2019–2021 · strength 0.53
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
- Paul Jack Karanicolas · 4 shared papers, 2019–2021 · strength 0.53
- Paper Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning featu… DOI 10.1038/s41598-021-80998-y↗
- Paper CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. DOI 10.1186/s12880-020-0418-1↗
- Paper Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. DOI 10.3389/frai.2020.550890↗
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.