1. 于金明 中国 山东第一医科大学 中国工程院院士 CT-based radiomics-deep learning model predicts occult lymph node metastasis in early-stage lung ade..
2. Jaffee, Elizabeth M. 美国 Johns Hopkins University 2019美国医学院院士 Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-..
3. Coussens, Lisa M. 美国 Knight Cancer Institute 2023美国科学院院士 Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-..
4. 王俊 中国 北京大学 中国工程院院士 Efficacy of neoadjuvant chemo-immunotherapy in non-small cell lung cancer: a real-world, multicenter..
5. Aberle, Denise R. 美国 University of California, Los Angeles School of Medicine 2019美国医学院院士 Expanding Role of Advanced Image Analysis in CT-detected Indeterminate Pulmonary Nodules and Early L..
6. 王俊 中国 北京大学 中国工程院院士 Organ preservation strategies after neoadjuvant chemoimmunotherapy in resectable non-small cell lung..
7. 陈孝平 中国 华中科技大学 中国科学院院士 Insight into the structure, physiological function, and role in cancer of m6A readers-YTH domain-con..
8. Hiroshi,Okamoto 日本 Tohoku University Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to pre..
9. Unno, Michiaki 日本 Tohoku University Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to pre..
10. 赵方庆 中国 中国科学院 杰出青年 Engineering circular RNA medicines
11. 李为民 中国 四川大学 Diagnostic accuracy of CT and PET/CT radiomics in predicting lymph node metastasis in non-small cell..
12. 马学磊 中国 四川大学 Diagnostic accuracy of CT and PET/CT radiomics in predicting lymph node metastasis in non-small cell..
13. Van de Wiele, Christophe 比利时 University of Ghent FDG PET/CT for Staging Lung Carcinoma: An Update
14. 陈哲生 美国 ST JOHNS University Epigenetic code underlying EGFR-TKI resistance in non-small cell lung cancer: Elucidation of mechani..
15. John M,Kirkwood 美国 University of Pittsburgh Radiomic analysis of patient and interorgan heterogeneity in response to immunotherapies and BRAF-ta..
16. Hassane M,Zarour 美国 University of Pittsburgh Radiomic analysis of patient and interorgan heterogeneity in response to immunotherapies and BRAF-ta..
17. Mari,Mino-Kenudson 美国 Harvard University In Situ Veritas: In Lepidic, There Is Truth
18. Irène,Buvat 法国 UNIVERSITE PARIS SACLAY Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for..
19. Marcello,Tiseo 意大利 University of Hospital PARMA Longitudinal Changes of CT-radiomic and Systemic Inflammatory Features Predict Survival in Advanced ..
20. Joseph B,Shrager 美国 Stanford University The Society of Thoracic Surgeons Expert Consensus on the Multidisciplinary Management and Resectabil..