| A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis S Wang, Y Zha, W Li, Q Wu, X Li, M Niu, M Wang, X Qiu, H Li, H Yu, ... European Respiratory Journal 56 (2), 2020 | 544 | 2020 |
| Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning S Wang, J Shi, Z Ye, D Dong, D Yu, M Zhou, Y Liu, O Gevaert, K Wang, ... European Respiratory Journal 53 (3), 2019 | 392 | 2019 |
| Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer? L Yang, D Dong, M Fang, Y Zhu, Y Zang, Z Liu, H Zhang, J Ying, X Zhao, ... European radiology 28, 2058-2067, 2018 | 216 | 2018 |
| Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer L Han, Y Zhu, Z Liu, T Yu, C He, W Jiang, Y Kan, D Dong, J Tian, Y Luo European radiology 29, 3820-3829, 2019 | 188 | 2019 |
| Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker B He, D Dong, Y She, C Zhou, M Fang, Y Zhu, H Zhang, Z Huang, T Jiang, ... Journal for immunotherapy of cancer 8 (2), 2020 | 162 | 2020 |
| A deep learning radiomics model for preoperative grading in meningioma Y Zhu, C Man, L Gong, D Dong, X Yu, S Wang, M Fang, S Wang, X Fang, ... European journal of radiology 116, 128-134, 2019 | 133 | 2019 |
| Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study S Wang, H Yu, Y Gan, Z Wu, E Li, X Li, J Cao, Y Zhu, L Wang, H Deng, ... The Lancet Digital Health 4 (5), e309-e319, 2022 | 107 | 2022 |
| Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study H Hu, L Gong, D Dong, L Zhu, M Wang, J He, L Shu, Y Cai, S Cai, W Su, ... Gastrointestinal Endoscopy 93 (6), 1333-1341. e3, 2021 | 79 | 2021 |
| CT-Based Radiomic Signature as a Prognostic Factor in Stage IV ALK-Positive Non-small-cell Lung Cancer Treated With TKI Crizotinib: A Proof-of-Concept Study H Li, R Zhang, S Wang, M Fang, Y Zhu, Z Hu, D Dong, J Shi, J Tian Frontiers in Oncology 10, 57, 2020 | 41 | 2020 |
| Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: a multicenter study X Wu, D Dong, L Zhang, M Fang, Y Zhu, B He, Z Ye, M Zhang, S Zhang, ... Medical Physics 48 (5), 2374-2385, 2021 | 34 | 2021 |
| 3D deep learning model for the pretreatment evaluation of treatment response in esophageal carcinoma: a prospective study (ChiCTR2000039279) X Li, H Gao, J Zhu, Y Huang, Y Zhu, W Huang, Z Li, K Sun, Z Liu, J Tian, ... International Journal of Radiation Oncology* Biology* Physics 111 (4), 926-935, 2021 | 33 | 2021 |
| Unsupervised deep learning features for lung cancer overall survival analysis S Wang, Z Liu, X Chen, Y Zhu, H Zhou, Z Tang, W Wei, D Dong, M Wang, ... 2018 40th Annual international conference of the IEEE engineering in …, 2018 | 32 | 2018 |
| Mix contrast for COVID-19 mild-to-critical prediction Y Zhu, S Wang, S Wang, Q Wu, L Wang, H Li, M Wang, M Niu, Y Zha, ... IEEE Transactions on Biomedical Engineering 68 (12), 3725-3736, 2021 | 24 | 2021 |
| Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and … BX He, YF Zhong, YB Zhu, JJ Deng, MJ Fang, YL She, TT Wang, Y Yang, ... Translational Lung Cancer Research 11 (4), 670, 2022 | 22 | 2022 |
| Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research S Wang, D Dong, W Zhang, H Hu, H Li, Y Zhu, J Zhou, X Shan, J Tian Medical Physics 48 (9), 5017-5028, 2021 | 18 | 2021 |
| A novel deep learning framework based mask-guided attention mechanism for distant metastasis prediction of lung cancer Z Li, S Wang, H Yu, Y Zhu, Q Wu, L Wang, Z Wu, Y Gan, W Li, B Qiu, ... IEEE Transactions on Emerging Topics in Computational Intelligence 7 (2 …, 2022 | 17 | 2022 |
| From signal to knowledge: The diagnostic value of raw data in the artificial intelligence prediction of human data for the first time B He, Y Guo, Y Zhu, L Tong, B Kong, K Wang, C Sun, H Li, F Huang, L Wu, ... Engineering 34, 60-69, 2024 | 11 | 2024 |
| Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children? S Hu, Y Zhu, D Dong, B Wang, Z Zhou, C Wang, J Tian, Y Peng Journal of Digital Imaging 35 (5), 1079-1090, 2022 | 9 | 2022 |
| Gene signatures predict biochemical recurrence‐free survival in primary prostate cancer patients after radical therapy Q Su, Z Liu, C Chen, H Gao, Y Zhu, L Wang, M Pan, J Liu, X Yang, J Tian Cancer medicine 10 (18), 6492-6502, 2021 | 6 | 2021 |
| A lung-parenchyma-contrast hybrid network for egfr gene mutation prediction in lung cancer M Liu, S Wang, H Yu, Y Zhu, L Wang, M Zhang, Z Wu, X Li, W Li, J Tian 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 5 | 2022 |
Shuo WangBeihang University; institute of automation, chinese academy of sciencesEmail yang diverifikasi di buaa.edu.cn