ResearcherChinese Academy of SciencesNo recent work listed
Tong Tong
Matched on ORCID iD 0000-0002-3339-075X; OpenAlex author ID A5100745669. Sources: OpenAlex.
Their work
- Papers
- 2
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 8
2022: 2 papers
Papers 2
- Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00259-021-05573-z↗
- Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis. Co-author DOI 10.1186/s12916-022-02258-8↗
Closest collaborators
The 8 strongest of 8 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Kun Wang · 2 shared papers, 2022 · strength 0.27
- Paper Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenoc… DOI 10.1186/s12916-022-02258-8↗
- Paper Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal ad… DOI 10.1007/s00259-021-05573-z↗
- Jie Tian · 2 shared papers, 2022 · strength 0.27
- Paper Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenoc… DOI 10.1186/s12916-022-02258-8↗
- Paper Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal ad… DOI 10.1007/s00259-021-05573-z↗
- Jionghui Gu · 1 shared paper, 2022 · strength 0.14
- Tianan Jiang · 1 shared paper, 2022 · strength 0.14
- Ling Song · 1 shared paper, 2022 · strength 0.14
- Shuiqing Zhuo · 1 shared paper, 2022 · strength 0.13
- Chao An · 1 shared paper, 2022 · strength 0.13
- Lizhi Liu · 1 shared paper, 2022 · strength 0.13
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.