ResearcherChinese Academy of Medical Sciences & Peking Union Medical CollegeActive in the last 2 years
Yuming Shao
Matched on ORCID iD 0000-0001-5254-7882; OpenAlex author ID A5016541032. Sources: OpenAlex.
Their work
- Papers
- 2
- Trials
- 0
- Grants
- 0
- Labs led
- 0
- Collaborators
- 7
2023: 1 paper · 2024: 1 paper
Papers 2
- Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to predict the efficacy of neoadjuvant chemoth… Co-author DOI 10.1186/s40644-024-00662-2↗
- Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultrasound Videos. Co-author DOI 10.3390/diagnostics13132183↗
Closest collaborators
The 7 strongest of 7 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- Ke Lv · 2 shared papers, 2023–2024 · strength 0.35
- Paper Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to pre… DOI 10.1186/s40644-024-00662-2↗
- Paper Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultr… DOI 10.3390/diagnostics13132183↗
- Xiaoyi Yan · 2 shared papers, 2023–2024 · strength 0.35
- Paper Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to pre… DOI 10.1186/s40644-024-00662-2↗
- Paper Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultr… DOI 10.3390/diagnostics13132183↗
- Yuejuan Cheng · 2 shared papers, 2023–2024 · strength 0.35
- Paper Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to pre… DOI 10.1186/s40644-024-00662-2↗
- Paper Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultr… DOI 10.3390/diagnostics13132183↗
- Huanyu Wang · 1 shared paper, 2024 · strength 0.18
- Menghua Dai · 1 shared paper, 2024 · strength 0.18
- Weibin Wang · 1 shared paper, 2024 · strength 0.18
- Zhuhuang Zhou · 1 shared paper, 2023 · strength 0.16
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.