1. 赫捷 中国 中国医学科学院 中国科学院院士 Knowledge mapping visualization of the pulmonary ground-glass opacity published in the web of scienc..
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. Shinji,Naganawa 日本 Nagoya University Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis predict..
7. Jin Mo,Goo 韩国 Seoul National University Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopatho..
8. Shinji,Naganawa 日本 Nagoya University New trend in artificial intelligence-based assistive technology for thoracic imaging
9. Fang-Fang,Yin 美国 Duke University Development of a multi-feature-combined model: proof-of-concept with application to local failure pr..
10. 王健伟 中国 中国医学科学院 Diagnostic performance of a deep learning-based method in differentiating malignant from benign subc..
11. Jin Mo,Goo 韩国 Seoul National University Computed Tomography-based Prognostication in Lung Adenocarcinomas through Histopathological Feature ..
12. 张龙江 中国 东部战区总医院 Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary ..
13. Chang Min,Park 韩国 Seoul National University Tumor-associated prognostic factors extractable from chest CT scans in patients with lung cancer
14. 马学磊 中国 四川大学 Application of Artificial Intelligence in the Diagnosis, Treatment, and Prognostic Evaluation of Med..
15. 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..
16. Chang Min,Park 韩国 Seoul National University A narrative review of deep learning applications in lung cancer research: from screening to prognost..
17. Anant,Madabhushi 美国 Case Western Reserve University Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable ..
18. Chang Min,Park 韩国 Seoul National University Deep Learning for Lung Cancer Nodal Staging and Real-World Clinical Practice