ResearcherSun Yat-sen University Cancer CenterActive in the last 2 years
Lizhi Liu
Matched on ORCID iD 0000-0002-3977-0518; OpenAlex author ID A5100746336. Sources: OpenAlex.
Their work
- Papers
- 6 (first author 0, last author 1)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 22
2022: 2 papers · 2023: none · 2024: 2 papers · 2025: 1 paper · 2026: 1 paper
Papers 6
- Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Chemotherapy. Co-author DOI 10.1002/mco2.70870↗
- Noninvasive Computed Tomography-Based Quantification of Tumor Fibrosis Predicts Pancreatic Cancer Response to Gemcitabine/Nab-Paclitaxel. Co-author DOI 10.34133/research.0937↗
- Semi-automatic fine delineation scheme for pancreatic cancer. Co-author DOI 10.1002/mp.16718↗
- Dual-energy computed tomography in a multiparametric regression model for diagnosing lymph node metastases in pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s40644-024-00687-7↗
- 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↗
- Identifying Outcomes of Patients With Advanced Pancreatic Adenocarcinoma and RECIST Stable Disease Using Radiomics Analysis. Last author DOI 10.1200/po.21.00362↗
Closest collaborators
The 22 strongest of 22 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Yize Mao · 3 shared papers, 2022–2026 · strength 0.57
- Paper Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Ch… DOI 10.1002/mco2.70870↗
- Paper Noninvasive Computed Tomography-Based Quantification of Tumor Fibrosis Predicts Pancreatic Cancer Response to Gemcitabi… DOI 10.34133/research.0937↗
- Paper Identifying Outcomes of Patients With Advanced Pancreatic Adenocarcinoma and RECIST Stable Disease Using Radiomics Anal… DOI 10.1200/po.21.00362↗
- Jun Cheng · 2 shared papers, 2025–2026 · strength 0.42
- Paper Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Ch… DOI 10.1002/mco2.70870↗
- Paper Noninvasive Computed Tomography-Based Quantification of Tumor Fibrosis Predicts Pancreatic Cancer Response to Gemcitabi… DOI 10.34133/research.0937↗
- Xiaoping Yi · 2 shared papers, 2025–2026 · strength 0.42
- Paper Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Ch… DOI 10.1002/mco2.70870↗
- Paper Noninvasive Computed Tomography-Based Quantification of Tumor Fibrosis Predicts Pancreatic Cancer Response to Gemcitabi… DOI 10.34133/research.0937↗
- Qiuxia Yang · 2 shared papers, 2025–2026 · strength 0.42
- Paper Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Ch… DOI 10.1002/mco2.70870↗
- Paper Noninvasive Computed Tomography-Based Quantification of Tumor Fibrosis Predicts Pancreatic Cancer Response to Gemcitabi… DOI 10.34133/research.0937↗
- Shuiqing Zhuo · 2 shared papers, 2022–2024 · strength 0.36
- Paper Dual-energy computed tomography in a multiparametric regression model for diagnosing lymph node metastases in pancreati… DOI 10.1186/s40644-024-00687-7↗
- 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↗
- Qiuxia Yang · 2 shared papers, 2022–2024 · strength 0.36
- Sheng Li · 1 shared paper, 2024 · strength 0.23
- Shengping Li · 1 shared paper, 2026 · strength 0.23
- Weizong Zhan · 1 shared paper, 2024 · strength 0.21
- Hongbo Chen · 1 shared paper, 2024 · strength 0.21
- Xuejun Gong · 1 shared paper, 2025 · strength 0.19
- Ningning Niu · 1 shared paper, 2025 · strength 0.19
- Peng Luo · 1 shared paper, 2025 · strength 0.19
- Yixiong Li · 1 shared paper, 2025 · strength 0.19
- Dong Luo · 1 shared paper, 2025 · strength 0.19
- Yong Li · 1 shared paper, 2022 · strength 0.15
- Tao Qin · 1 shared paper, 2022 · strength 0.15
- Rong Zhang · 1 shared paper, 2022 · strength 0.15
- Chao An · 1 shared paper, 2022 · strength 0.13
- Tong Tong · 1 shared paper, 2022 · strength 0.13
- Kun Wang · 1 shared paper, 2022 · strength 0.13
- Jie Tian · 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.