ResearcherTongji UniversityActive in the last 2 years
Chao Ma
Matched on ORCID iD 0000-0002-2473-387X; OpenAlex author ID A5012217069. Sources: OpenAlex.
Their work
- Papers
- 14 (first author 3, last author 0)
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 27
2015: 1 paper · 2016: 1 paper · 2017: 3 papers · 2018: none · 2019: none · 2020: 1 paper · 2021: 3 papers · 2022: 3 papers · 2023: 1 paper · 2024: 1 paper
Papers 14
- Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. First author DOI 10.1186/s12885-024-12934-y↗
- Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT? Co-author DOI 10.1186/s40644-023-00528-z↗
- Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Reso… Co-author DOI 10.1002/jmri.27871↗
- Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predicting CD20+ B cells in patients with pancrea… Co-author DOI 10.1007/s00261-021-03285-4↗
- 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↗
- The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. Co-author DOI 10.1016/j.clinimag.2020.11.039↗
- CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3389/fonc.2021.707288↗
- Pancreatic adenocarcinoma: variability in measurements of tumor size among computed tomography, magnetic resonance imaging, and pathologic specimens. Co-author DOI 10.1007/s00261-019-02125-w↗
- Effect of region of interest size on ADC measurements in pancreatic adenocarcinoma. Co-author DOI 10.1186/s40644-017-0116-6↗
- Optimized ROI size on ADC measurements of normal pancreas, pancreatic cancer and mass-forming chronic pancreatitis. Co-author DOI 10.18632/oncotarget.18457↗
- Aberrant expression of STYK1 and E-cadherin confer a poor prognosis for pancreatic cancer patients. First author DOI 10.18632/oncotarget.22794↗
- Apparent diffusion coefficient (ADC) measurements in pancreatic adenocarcinoma: A preliminary study of the effect of region of interest on ADC values and inter… Co-author DOI 10.1002/jmri.25007↗
- Comparison of the Diagnostic Performances of Three Techniques of ROI Placement for ADC Measurements in Pancreatic Adenocarcinoma. First author DOI 10.1016/j.acra.2015.06.017↗
Closest collaborators
The 25 strongest of 27 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Jianping Lu · 12 shared papers, 2015–2024 · strength 1.46
- Paper Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. DOI 10.1186/s12885-024-12934-y↗
- Paper Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective a… DOI 10.1186/s40644-023-00528-z↗
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Yun Bian · 10 shared papers, 2017–2024 · strength 1.35
- Paper Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. DOI 10.1186/s12885-024-12934-y↗
- Paper Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective a… DOI 10.1186/s40644-023-00528-z↗
- Paper The relationship between microscopic tumor size and CT tumor size in pancreatic ductal adenocarcinoma. DOI 10.1016/j.clinimag.2020.11.039↗
- Chengwei Shao · 9 shared papers, 2017–2024 · strength 1.13
- Paper Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. DOI 10.1186/s12885-024-12934-y↗
- Paper Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective a… DOI 10.1186/s40644-023-00528-z↗
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Li Wang · 9 shared papers, 2015–2022 · strength 0.86
- Paper Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma. DOI 10.1186/s40644-021-00443-1↗
- Paper Pancreatic adenocarcinoma: variability in measurements of tumor size among computed tomography, magnetic resonance imag… DOI 10.1007/s00261-019-02125-w↗
- Paper Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenoc… DOI 10.1002/jmri.27871↗
- Panpan Yang · 4 shared papers, 2017–2024 · strength 0.59
- Paper Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. DOI 10.1186/s12885-024-12934-y↗
- Paper Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective a… DOI 10.1186/s40644-023-00528-z↗
- Paper Pancreatic adenocarcinoma: variability in measurements of tumor size among computed tomography, magnetic resonance imag… DOI 10.1007/s00261-019-02125-w↗
- Hui Jiang · 4 shared papers, 2021–2022 · strength 0.52
- 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 Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Yinghao Meng · 4 shared papers, 2021–2022 · strength 0.48
- Paper Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Paper Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenoc… DOI 10.1002/jmri.27871↗
- 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 0.48
- Paper Contrast-enhanced computed tomography radiomics and multilayer perceptron network classifier: an approach for predictin… DOI 10.1007/s00261-021-03285-4↗
- Paper Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenoc… DOI 10.1002/jmri.27871↗
- Paper Noncontrast Magnetic Resonance Radiomics and Multilayer Perceptron Network Classifier: An approach for Predicting Fibro… DOI 10.1002/jmri.27648↗
- Yufei Chen · 2 shared papers, 2023–2024 · strength 0.39
- Kai Cao · 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↗
- Luguang Chen · 3 shared papers, 2017–2024 · strength 0.34
- Paper Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. DOI 10.1186/s12885-024-12934-y↗
- Paper Aberrant expression of STYK1 and E-cadherin confer a poor prognosis for pancreatic cancer patients. DOI 10.18632/oncotarget.22794↗
- Paper Optimized ROI size on ADC measurements of normal pancreas, pancreatic cancer and mass-forming chronic pancreatitis. DOI 10.18632/oncotarget.18457↗
- 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 CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarc… DOI 10.3389/fonc.2021.707288↗
- Jun Wang · 1 shared paper, 2023 · strength 0.18
- Jianming Zheng · 1 shared paper, 2021 · strength 0.14
- Suizhi Gao · 1 shared paper, 2022 · strength 0.14
- Shiwei Guo · 1 shared paper, 2022 · strength 0.14
- Gang Jin · 1 shared paper, 2022 · strength 0.14
- Jianming Zheng · 1 shared paper, 2022 · strength 0.14
- Jing Li · 1 shared paper, 2022 · strength 0.13
- Li Liu · 2 shared papers, 2015–2016 · strength 0.11
- Paper Apparent diffusion coefficient (ADC) measurements in pancreatic adenocarcinoma: A preliminary study of the effect of re… DOI 10.1002/jmri.25007↗
- Paper Comparison of the Diagnostic Performances of Three Techniques of ROI Placement for ADC Measurements in Pancreatic Adeno… DOI 10.1016/j.acra.2015.06.017↗
- Hao Zhang · 1 shared paper, 2021 · strength 0.11
- Qi Li · 1 shared paper, 2021 · strength 0.11
- Qi Li · 1 shared paper, 2021 · strength 0.11
- Jianping Lu · 1 shared paper, 2017 · strength 0.06
- Qiang Hao · 1 shared paper, 2017 · 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.