ResearcherUniversity of Maryland, BaltimoreNo recent work listed
Rong Chen
Matched on ORCID iD 0000-0002-5288-2733; OpenAlex author ID A5100419034. Sources: OpenAlex.
Their work
- Papers
- 8 (first author 1, last author 3)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 29
2014: 2 papers · 2015: none · 2016: none · 2017: none · 2018: none · 2019: 2 papers · 2020: 2 papers · 2021: none · 2022: 1 paper · 2023: 1 paper
Papers 8
- Editorial: Novel circulating biomarkers and radiomics in pancreatic cancer. First author DOI 10.3389/fonc.2023.1259070↗
- Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1007/s11596-022-2535-2↗
- Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal adenocarcinoma. Last author DOI 10.1007/s00261-020-02506-6↗
- Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinoma From Pancreatic Ductal Adenocarcinoma. Last author DOI 10.3389/fonc.2020.01618↗
- Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Prediction Of Histopathological Grade. Last author DOI 10.2147/cmar.s218414↗
- Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images. Co-author DOI 10.3389/fonc.2019.01171↗
- Intra-tumoral heterogeneity of gemcitabine delivery and mass transport in human pancreatic cancer. Co-author DOI 10.1088/1478-3975/11/6/065002↗
- Transport properties of pancreatic cancer describe gemcitabine delivery and response. Co-author DOI 10.1172/jci73455↗
Closest collaborators
The 25 strongest of 29 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Shuai Ren · 6 shared papers, 2019–2023 · strength 0.93
- Paper Editorial: Novel circulating biomarkers and radiomics in pancreatic cancer. DOI 10.3389/fonc.2023.1259070↗
- Paper Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from… DOI 10.1007/s11596-022-2535-2↗
- Paper Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal… DOI 10.1007/s00261-020-02506-6↗
- Zhongqiu Wang · 6 shared papers, 2019–2023 · strength 0.93
- Paper Editorial: Novel circulating biomarkers and radiomics in pancreatic cancer. DOI 10.3389/fonc.2023.1259070↗
- Paper Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from… DOI 10.1007/s11596-022-2535-2↗
- Paper Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal… DOI 10.1007/s00261-020-02506-6↗
- Rui Zhao · 4 shared papers, 2019–2022 · strength 0.51
- Paper Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from… DOI 10.1007/s11596-022-2535-2↗
- Paper Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal… DOI 10.1007/s00261-020-02506-6↗
- Paper Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinom… DOI 10.3389/fonc.2020.01618↗
- Wenli Qiu · 3 shared papers, 2019–2020 · strength 0.31
- Paper Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinom… DOI 10.3389/fonc.2020.01618↗
- Paper Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Predicti… DOI 10.2147/cmar.s218414↗
- Paper Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adeno… DOI 10.3389/fonc.2019.01171↗
- Kai Guo · 2 shared papers, 2020 · strength 0.23
- Paper Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from pancreatic ductal… DOI 10.1007/s00261-020-02506-6↗
- Paper Computed Tomography-Based Radiomics Signature for the Preoperative Differentiation of Pancreatic Adenosquamous Carcinom… DOI 10.3389/fonc.2020.01618↗
- Xiao Chen · 2 shared papers, 2019 · strength 0.20
- Paper Pancreatic Ductal Adenocarcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis For Predicti… DOI 10.2147/cmar.s218414↗
- Paper Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adeno… DOI 10.3389/fonc.2019.01171↗
- Yingying Cao · 1 shared paper, 2020 · strength 0.11
- Jingjing Zhang · 1 shared paper, 2019 · strength 0.09
- Ryan Michael Thomas · 2 shared papers, 2014 · strength 0.06
- Milind M. Javle · 2 shared papers, 2014 · strength 0.06
- Matthew H. G. Katz · 2 shared papers, 2014 · strength 0.06
- Mauro Ferrari B · 2 shared papers, 2014 · strength 0.06
- James L. Abbruzzese · 2 shared papers, 2014 · strength 0.06
- Eric Peter Tamm · 2 shared papers, 2014 · strength 0.06
- Huamin Wang · 2 shared papers, 2014 · strength 0.06
- Ya’an Kang · 2 shared papers, 2014 · strength 0.06
- Deyali Chatterjee · 2 shared papers, 2014 · strength 0.06
- Robert A. Wolff · 2 shared papers, 2014 · strength 0.06
- Vijaya N. R. Gottumukkala · 2 shared papers, 2014 · strength 0.06
- Haifa Shen · 2 shared papers, 2014 · strength 0.06
- Priya Bhosale · 2 shared papers, 2014 · strength 0.06
- Mark Joseph Truty · 2 shared papers, 2014 · strength 0.06
- Jason B. Fleming · 2 shared papers, 2014 · strength 0.06
- Eugene Jon Koay · 2 shared papers, 2014 · strength 0.06
- Gauri Rajani Varadhachary · 2 shared papers, 2014 · strength 0.06
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.