Cikkek nyilvánosan hozzáférhető megbízással - Beibei JiangTovábbi információ
Valahol hozzáférhető: 18
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: National Natural Science Foundation of China
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
Megbízások: US National Institutes of Health, National Natural Science Foundation of China
107P Artificial intelligence-based volumetric classification of pulmonary nodules in Chinese baseline lung cancer screening population (NELCIN-B3)
Y Mao, HL Lancaster, B Jiang, D Han, M Vonder, MD Dorrius, D Yu, J Yi, ...
Journal of Thoracic Oncology 18 (4), S101-S102, 2023
Megbízások: Royal Netherlands Academy of Arts and Sciences
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