1. 严枫 中国 南京医科大学 Variation of peripheral blood-based biomarkers for response of anti-PD-1 immunotherapy in non-small-..
2. 单鸿 中国 中山大学 Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based rad..
3. Seung Hong,Choi 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..
4. Park, Chul-Kee 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..
5. Park, Sung-Hye 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..
6. 刘宝瑞 中国 南京大学 主任医师 Predictive value of peripheral blood biomarkers in patients with non-small-cell lung cancer respondi..
7. Alberto M,Marchevsky 美国 Cedars-Sinai Medical Center Standardized Classification of Lung Adenocarcinoma Subtypes and Improvement of Grading Assessment Th..
8. Cho, William Chi Shing 中国 香港大学 Deep learning-based solid component measuring enabled interpretable prediction of tumor invasiveness..
9. Shinji,Naganawa 日本 Nagoya University Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis predict..
10. Jin Mo,Goo 韩国 Seoul National University Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopatho..
11. Kim, Young-Jin 韩国 Yonsei University Feasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adeno..
12. Shinji,Naganawa 日本 Nagoya University New trend in artificial intelligence-based assistive technology for thoracic imaging
13. Fang-Fang,Yin 美国 Duke University Development of a multi-feature-combined model: proof-of-concept with application to local failure pr..
14. Genichiro,Ishii 日本 National Cancer Center Hospital East Efficacy of Preoperative Biopsy in Predicting the Newly Proposed Histologic Grade of Resected Lung A..
15. 石乐明 中国 复旦大学上海医学院 教授 博士生导师 Differences of molecular events driving pathological and radiological progression of lung adenocarci..
16. 陈海泉 中国 复旦大学上海医学院 主任医师 Differences of molecular events driving pathological and radiological progression of lung adenocarci..
17. Yohan,Bosse 加拿大 University of LAVAL A Simplified Version of the IASLC Grading System for Invasive Pulmonary Adenocarcinomas With Improve..
18. 马学磊 中国 四川大学 Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Med..
19. 夏黎明 中国 华中科技大学 教授、主任医师 Development and validation of a deep learning signature for predicting lymph node metastasis in lung..
20. Rowe, Steven P. 美国 Johns Hopkins University 18F-FDG PET/CT for Response Assessment in Lung Cancer