ResearcherSecond Military Medical UniversityActive in the last 2 years
Kai Cao
Matched on ORCID iD 0000-0002-7939-7279; OpenAlex author ID A5101410989. Sources: OpenAlex.
Their work
- Papers
- 13 (first author 1, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 42
2019: 2 papers · 2020: none · 2021: 5 papers · 2022: 3 papers · 2023: 2 papers · 2024: 1 paper
Papers 13
- Integrated 68 Ga-FAPI-04 PET/MR in Pancreatic Cancer : Prediction of Tumor Response and Tumor Resectability After Neoadjuvant Therapy. Co-author DOI 10.1097/rlu.0000000000005300↗
- Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Co-author DOI 10.1038/s41591-023-02640-w↗
- Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer: A Retrospective Multicenter Study. First author DOI 10.1097/sla.0000000000005465↗
- Comparison of the diagnostic efficacy of 68 Ga-FAPI-04 PET/MR and 18F-FDG PET/CT in patients with pancreatic cancer. Co-author DOI 10.1007/s00259-022-05729-5↗
- CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A Propensity Score Analysis. Co-author DOI 10.1016/j.acra.2021.04.014↗
- Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. Co-author DOI 10.1186/s40644-021-00443-1↗
- Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibroblast Activation Protein Expression in P… Co-author DOI 10.1002/jmri.27648↗
- Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ductal adenocarcinoma. Co-author DOI 10.1007/s00261-021-03159-9↗
- The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.clinimag.2020.11.039↗
- DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imagin… Co-author DOI 10.1016/j.media.2021.102150↗
- XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/fonc.2021.671333↗
- Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.1097/mpa.0000000000001404↗
- Comparisons of different neoadjuvant chemotherapy regimens with or without stereotactic body radiation therapy for borderline resectable pancreatic cancer: stu… Co-author DOI 10.1186/s13014-019-1254-8↗
Closest collaborators
The 25 strongest of 42 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Hui Jiang · 9 shared papers, 2019–2023 · strength 1.03
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Jianping Lu · 8 shared papers, 2021–2023 · strength 0.98
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Yun Bian · 8 shared papers, 2019–2022 · strength 0.91
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Gang Jin · 6 shared papers, 2019–2023 · strength 0.69
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Li Wang · 6 shared papers, 2019–2022 · strength 0.68
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Paper Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ducta… DOI 10.1007/s00261-021-03159-9↗
- Chengwei Shao · 5 shared papers, 2021–2022 · strength 0.60
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Paper Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ducta… DOI 10.1007/s00261-021-03159-9↗
- Shiwei Guo · 3 shared papers, 2019–2024 · strength 0.47
- Paper Integrated 68 Ga-FAPI-04 PET/MR in Pancreatic Cancer : Prediction of Tumor Response and Tumor Resectability After Neoad… DOI 10.1097/rlu.0000000000005300↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Comparisons of different neoadjuvant chemotherapy regimens with or without stereotactic body radiation therapy for bord… DOI 10.1186/s13014-019-1254-8↗
- Yinghao Meng · 4 shared papers, 2021–2022 · strength 0.46
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Paper Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ducta… DOI 10.1007/s00261-021-03159-9↗
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Jieyu Yu · 4 shared papers, 2021–2022 · strength 0.46
- Paper CT Radiomics Features in Differentiation of Focal-Type Autoimmune Pancreatitis from Pancreatic Ductal Adenocarcinoma: A… DOI 10.1016/j.acra.2021.04.014↗
- Paper Machine learning for MRI radiomics: a study predicting tumor-infiltrating lymphocytes in patients with pancreatic ducta… DOI 10.1007/s00261-021-03159-9↗
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Changjing Zuo · 2 shared papers, 2022–2024 · strength 0.39
- Paper Integrated 68 Ga-FAPI-04 PET/MR in Pancreatic Cancer : Prediction of Tumor Response and Tumor Resectability After Neoad… DOI 10.1097/rlu.0000000000005300↗
- Paper Comparison of the diagnostic efficacy of 68 Ga-FAPI-04 PET/MR and 18F-FDG PET/CT in patients with pancreatic cancer. DOI 10.1007/s00259-022-05729-5↗
- Chao Cheng · 2 shared papers, 2022–2024 · strength 0.39
- Paper Integrated 68 Ga-FAPI-04 PET/MR in Pancreatic Cancer : Prediction of Tumor Response and Tumor Resectability After Neoad… DOI 10.1097/rlu.0000000000005300↗
- Paper Comparison of the diagnostic efficacy of 68 Ga-FAPI-04 PET/MR and 18F-FDG PET/CT in patients with pancreatic cancer. DOI 10.1007/s00259-022-05729-5↗
- Chao Ma · 3 shared papers, 2021–2022 · strength 0.39
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Jiawen Yao · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Ling Zhang · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Yu Shi · 3 shared papers, 2021–2023 · strength 0.38
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understandin… DOI 10.1016/j.media.2021.102150↗
- Paper Large-scale pancreatic cancer detection via non-contrast CT and deep learning. DOI 10.1038/s41591-023-02640-w↗
- Suizhi Gao · 3 shared papers, 2019–2022 · strength 0.31
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Comparisons of different neoadjuvant chemotherapy regimens with or without stereotactic body radiation therapy for bord… DOI 10.1186/s13014-019-1254-8↗
- Paper Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. DOI 10.1097/mpa.0000000000001404↗
- Rong Zhang · 2 shared papers, 2023 · strength 0.25
- Gang Jin · 1 shared paper, 2024 · strength 0.24
- Zeyu Zhang · 1 shared paper, 2024 · strength 0.24
- Jianming Zheng · 2 shared papers, 2019–2022 · strength 0.22
- Jianping Lu · 2 shared papers, 2019–2023 · strength 0.22
- Paper Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer… DOI 10.1097/sla.0000000000005465↗
- Paper Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma. DOI 10.1097/mpa.0000000000001404↗
- Jing Li · 2 shared papers, 2021 · strength 0.22
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Paper XGBoost Classifier Based on Computed Tomography Radiomics for Prediction of Tumor-Infiltrating CD8+ T-Cells in Patients… DOI 10.3389/fonc.2021.671333↗
- Tao Wang · 1 shared paper, 2022 · strength 0.15
- Guorong Jia · 1 shared paper, 2022 · strength 0.15
- Zeyu Zhang · 1 shared paper, 2022 · strength 0.15
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.