1. 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..
2. Rodrigo,Dienstmann 西班牙 Autonomous University of Barcelona A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still l..
3. Regina G. H,Beets-Tan 荷兰 Netherlands Cancer Institute A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still l..
4. 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..
5. Genichiro,Ishii 日本 National Cancer Center Hospital East Prognostic value of predominant subtype in pathological stage II-III lung adenocarcinoma with epider..
6. 李培峰 中国 青岛大学 The important regulatory roles of circRNA-encoded proteins or peptides in cancer pathogenesis[Review..
7. Seung Hong,Choi 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..
8. Park, Chul-Kee 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..
9. Park, Sung-Hye 韩国 Seoul National University Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recur..
10. Filippo,de Braud 意大利 Foundation IRCCS Ist Nazl Tumori Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
11. Marina Chiara,Garassino 意大利 Foundation IRCCS Ist Nazl Tumori Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
12. George,Pentheroudakis 希腊 University of Ioannina Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review
13. 白春学 中国 复旦大学上海医学院 An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy..
14. Alberto M,Marchevsky 美国 Cedars-Sinai Medical Center Standardized Classification of Lung Adenocarcinoma Subtypes and Improvement of Grading Assessment Th..
15. Shinji,Naganawa 日本 Nagoya University Recent advances in artificial intelligence for cardiac CT: Enhancing diagnosis and prognosis predict..
16. 朱峰 中国 浙江大学 An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in..
17. 王朝霞 中国 南京医科大学 Characterization of circRNAs in established osimertinib-resistant non-small cell lung cancer cell li..
18. Jin Mo,Goo 韩国 Seoul National University Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopatho..
19. Shinji,Naganawa 日本 Nagoya University New trend in artificial intelligence-based assistive technology for thoracic imaging
20. Fang-Fang,Yin 美国 Duke University Development of a multi-feature-combined model: proof-of-concept with application to local failure pr..