ResearcherChinese Academy of SciencesNo recent work listed
Zhaobang Liu
Matched on ORCID iD 0000-0002-8412-9930; OpenAlex author ID A5018298284. Sources: OpenAlex.
Their work
- Papers
- 6 (first author 0, last author 2)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 11
2019: 2 papers · 2020: none · 2021: 1 paper · 2022: 2 papers · 2023: 1 paper
Papers 6
- A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on 18F-FDG PET/CT images. Co-author DOI 10.1007/s11604-022-01363-1↗
- Prognostic Evaluation Based on Dual-Time 18F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic Cancer Treated by Stereotactic Body Rad… Last author DOI 10.1155/2022/6528865↗
- Prognostic evaluation based on dual time 18F-FDG PET/CT radiomics features in patients with locally advanced pancreatic cancer treated by Stereotactic Body Rad… Last author DOI 10.21203/rs.3.rs-1357369/v2↗
- Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and autoimmune pancreatitis. Co-author DOI 10.1007/s00330-021-07778-0↗
- Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in 18 F-FDG PET/CT. Co-author DOI 10.1002/mp.13733↗
- [Differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma based on multi-modality texture features in 18F-FDG PET/CT]. Co-author DOI 10.7507/1001-5515.201807012↗
Closest collaborators
The 11 strongest of 11 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Changjing Zuo · 6 shared papers, 2019–2023 · strength 0.84
- Paper A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on 18F-FDG PET/CT … DOI 10.1007/s11604-022-01363-1↗
- Paper Prognostic evaluation based on dual time 18F-FDG PET/CT radiomics features in patients with locally advanced pancreatic… DOI 10.21203/rs.3.rs-1357369/v2↗
- Paper Prognostic Evaluation Based on Dual-Time 18F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic… DOI 10.1155/2022/6528865↗
- Chao Cheng · 6 shared papers, 2019–2023 · strength 0.84
- Paper A multidomain fusion model of radiomics and deep learning to discriminate between PDAC and AIP based on 18F-FDG PET/CT … DOI 10.1007/s11604-022-01363-1↗
- Paper Prognostic evaluation based on dual time 18F-FDG PET/CT radiomics features in patients with locally advanced pancreatic… DOI 10.21203/rs.3.rs-1357369/v2↗
- Paper Prognostic Evaluation Based on Dual-Time 18F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic… DOI 10.1155/2022/6528865↗
- Xiaodong Yang · 4 shared papers, 2019–2022 · strength 0.48
- Paper Prognostic Evaluation Based on Dual-Time 18F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic… DOI 10.1155/2022/6528865↗
- Paper Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and auto… DOI 10.1007/s00330-021-07778-0↗
- Paper [Differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma based on multi-modality texture featur… DOI 10.7507/1001-5515.201807012↗
- Gaofeng Sun · 3 shared papers, 2019–2021 · strength 0.33
- Paper Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and auto… DOI 10.1007/s00330-021-07778-0↗
- Paper [Differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma based on multi-modality texture featur… DOI 10.7507/1001-5515.201807012↗
- Paper Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in 18 F-FDG … DOI 10.1002/mp.13733↗
- Shengnan Ren · 2 shared papers, 2021–2022 · strength 0.28
- Paper Prognostic Evaluation Based on Dual-Time 18F-FDG PET/CT Radiomics Features in Patients with Locally Advanced Pancreatic… DOI 10.1155/2022/6528865↗
- Paper Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and auto… DOI 10.1007/s00330-021-07778-0↗
- Guorong Jia · 1 shared paper, 2023 · strength 0.18
- Wenting Wei · 1 shared paper, 2023 · strength 0.18
- Fei Wang · 1 shared paper, 2022 · strength 0.17
- Fei Wang · 1 shared paper, 2022 · strength 0.16
- Yuquan Zhang · 1 shared paper, 2019 · strength 0.11
- Yuquan Zhang · 1 shared paper, 2019 · strength 0.10
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.