| Deep learning reconstruction shows better lung nodule detection for ultra–low-dose chest CT B Jiang, N Li, X Shi, S Zhang, J Li, GH de Bock, R Vliegenthart, X Xie Radiology 303 (1), 202-212, 2022 | 119 | 2022 |
| Development and application of artificial intelligence in cardiac imaging B Jiang, N Guo, Y Ge, L Zhang, M Oudkerk, X Xie The British Journal of Radiology 93 (1113), 20190812, 2020 | 64 | 2020 |
| 3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma G Liu, Z Xu, Y Ge, B Jiang, H Groen, R Vliegenthart, X Xie Translational lung cancer research 9 (4), 1212, 2020 | 43 | 2020 |
| Lung nodule detectability of artificial intelligence-assisted CT image reading in lung cancer screening Y Zhang, B Jiang, L Zhang, MJW Greuter, GH de Bock, H Zhang, X Xie Current Medical Imaging 18 (3), 327-334, 2022 | 38 | 2022 |
| Simultaneous Identification of EGFR, KRAS, ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three … T Zhang, Z Xu, G Liu, B Jiang, GH de Bock, HJM Groen, R Vliegenthart, ... Cancers 13 (8), 1814, 2021 | 37 | 2021 |
| Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review L Zhang, J Sun, B Jiang, L Wang, Y Zhang, X Xie European journal of hybrid imaging 5, 1-13, 2021 | 31 | 2021 |
| COPD identification and grading based on deep learning of lung parenchyma and bronchial wall in chest CT images L Zhang, B Jiang, HJ Wisselink, R Vliegenthart, X Xie The British Journal of Radiology 95 (1133), 20210637, 2022 | 28 | 2022 |
| Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks B Jiang, Y Zhang, L Zhang, G H de Bock, R Vliegenthart, X Xie European Radiology 31, 7303-7315, 2021 | 21 | 2021 |
| Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study Y Zhang, NR van der Werf, B Jiang, R van Hamersvelt, MJW Greuter, ... European radiology 30, 1285-1294, 2020 | 21 | 2020 |
| Machine-learning-based radiomics identifies atrial fibrillation on the epicardial fat in contrast-enhanced and non-enhanced chest CT L Zhang, Z Xu, B Jiang, Y Zhang, L Wang, GH De Bock, R Vliegenthart, ... The British Journal of Radiology 95 (1135), 20211274, 2022 | 15 | 2022 |
| Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing Y Zhang, M Liu, S Hu, Y Shen, J Lan, B Jiang, GH de Bock, R Vliegenthart, ... Communications medicine 1 (1), 43, 2021 | 14 | 2021 |
| Motion artifact removal in coronary CT angiography based on generative adversarial networks L Zhang, B Jiang, Q Chen, L Wang, K Zhao, Y Zhang, R Vliegenthart, ... European Radiology 33 (1), 43-53, 2023 | 12 | 2023 |
| Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review L Wang, L Zhang, B Jiang, K Zhao, Y Zhang, X Xie The British Journal of Radiology 95 (1136), 20211136, 2022 | 9 | 2022 |
| Machine-learning-derived nomogram based on 3D radiomic features and clinical factors predicts progression-free survival in lung adenocarcinoma G Liu, Z Xu, Y Zhang, B Jiang, L Zhang, L Wang, GH de Bock, ... Frontiers in oncology 11, 692329, 2021 | 8 | 2021 |
| Measurement accuracy and repeatability of RECIST-defined pulmonary lesions and lymph nodes in ultra-low-dose CT based on deep learning image reconstruction K Zhao, B Jiang, S Zhang, L Zhang, L Zhang, Y Feng, J Li, Y Zhang, X Xie Cancers 14 (20), 5016, 2022 | 7 | 2022 |
| Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors M Dobrolińska, N van der Werf, M Greuter, B Jiang, R Slart, X Xie BMC Medical Imaging 21, 1-10, 2021 | 4 | 2021 |
| 深度卷积神经网络对≤ 3 cm 的亚实性肺腺癌 CT 图像病理学分型预测的可视化研究 蒋蓓蓓， 张亚平， 张琳， 刘桂雪， 解学乾 Journal of Shanghai Jiaotong University (Medical Science) 39 (9), 2019 | 4 | 2019 |
| 肺亚实性结节 CT 图像定量变化对浸润的判断 施丽萍， 张亚平， 解学乾， 蒋蓓蓓， 陈安 CT 理论与应用研究 28 (5), 541-548, 2019 | 3 | 2019 |
| Lung cancer volume doubling time by computed tomography: a systematic review and meta-analysis B Jiang, D Han, CM van der Aalst, HL Lancaster, M Vonder, ... European Journal of Cancer, 114339, 2024 | 2 | 2024 |
| Artificial intelligence-based non-invasive tumor segmentation, grade stratification and prognosis prediction for clear-cell renal-cell carcinoma S Chen, D Song, L Chen, T Guo, B Jiang, A Liu, X Pan, T Wang, H Tang, ... Precision Clinical Medicine 6 (3), pbad019, 2023 | 2 | 2023 |