知名学者引用


        除了所发表论文的被引用频次、期刊质量能够彰显学者的学术影响力以外,被知名学者引用也是一项学术评价的重要指标。
        当前同舟云学术认定的知名学者包括:诺贝尔奖、菲尔兹奖、图灵奖等奖项获得者,多个国家的院士,同舟云学术“2023全球学者学术影响力排行版”入榜的前10万学者等。

Simon,Kornblith Google Research被知名学者引用:38人次(黄金会员以上可以申请导出本人论文被全部知名学者引用的数据)

1. George Em,Karniadakis 美国 Brown University 2022美国工程院院士 Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training ..

2. U. Rajendra,Acharya 新加坡 Ngee Ann Polytechnic Application of transfer learning for biomedical signals: A comprehensive review of the last decade[2..

3. 田捷 中国 北京航空航天大学 教授 ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised C..

4. 陈钱 中国 南京理工大学 校长助理教授;博士生导师 Adaptive Structured-Light 3D Surface Imaging with Cross-Domain Learning

5. 左超 中国 南京理工大学 教授;博士生导师 Adaptive Structured-Light 3D Surface Imaging with Cross-Domain Learning

6. Baris,Turkbey 美国 National Cancer Institute Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung ..

7. 李亦学 中国 中国科学院 Deep Learning of radiology-genomics integration for computational oncology: A mini review

8. 张力 中国 中山大学 教授、主任医师、博士生导师、肺癌首席专家 Association of artificial intelligence-based immunoscore with the efficacy of chemoimmunotherapy in ..

9. 张新星 中国 四川大学 Bimodal Visual Sensors Based on Mechanoluminescence and Biosensing for Artificial Intelligence-Assis..

10. Lowenstein, Pedro R. 美国 University of Michigan Foundation models for fast, label-free detection of glioma infiltration

11. Maria G,Castro 美国 University of Michigan Foundation models for fast, label-free detection of glioma infiltration

12. Mitchel S,Berger 美国 University of California-San Francisco Foundation models for fast, label-free detection of glioma infiltration

13. Maxime,Cannesson 美国 University of California Los Angeles Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre..

14. Charles C,Wykoff 美国 Baylor College of Medicine Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre..

15. Srinivas R,Sadda 美国 University of California Los Angeles Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre..

16. Eran,Halperin 美国 University of California Los Angeles Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre..

17. Zhiyong,Lu 美国 National Center Biotechnology Informat Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT cha..

18. Ronald M,Summers 美国 Center Clinic Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT cha..

19. Christiane K,Kuhl 德国 RWTH Aachen University Reconstruction of patient-specific confounders in AI-based radiologic image interpretation

20. Jakob Nikolas,Kather 德国 University of Hospital RWTH Aachen Reconstruction of patient-specific confounders in AI-based radiologic image interpretation

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