Shuo Wang
Shuo Wang
Beihang University; institute of automation, chinese academy of sciences
Verified email at
Cited by
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The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
JT Zhenyu Liu, Shuo Wang, Di Dong, Jingwei Wei, Cheng Fang, Xuezhi Zhou, Kai ...
theranostics 9 (5), :1303-1322, 2019
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
Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Z Liu, XY Zhang, YJ Shi, L Wang, HT Zhu, Z Tang, S Wang, XT Li, J Tian, ...
Clinical Cancer Research 23 (23), 7253-7262, 2017
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
S Wang, M Zhou, Z Liu, Z Liu, D Gu, Y Zang, D Dong, O Gevaert, J Tian
Medical image analysis 40, 172-183, 2017
The role of imaging in the detection and management of COVID-19: a review
D Dong, Z Tang, S Wang, H Hui, L Gong, Y Lu, Z Xue, H Liao, F Chen, ...
IEEE reviews in biomedical engineering 14, 16-29, 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, 1800986, 2019
2D and 3D CT radiomics features prognostic performance comparison in non-small cell lung cancer
C Shen, Z Liu, M Guan, J Song, Y Lian, S Wang, Z Tang, D Dong, L Kong, ...
Translational oncology 10 (6), 886-894, 2017
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
S Wang, Z Liu, Y Rong, B Zhou, Y Bai, W Wei, M Wang, Y Guo, J Tian
Radiotherapy and Oncology 132, 171-177, 2019
A multi-view deep convolutional neural networks for lung nodule segmentation
S Wang, M Zhou, O Gevaert, Z Tang, D Dong, Z Liu, T Jie
2017 39th Annual International Conference of the IEEE Engineering iná…, 2017
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
Radiomics analysis of computed tomography helps predict poor prognostic outcome in COVID-19
Q Wu, S Wang, L Li, W Qian, Y Hu, L Li, X Zhou, H Ma, H Li, M Wang, ...
Theranostics 10 (16), 7231, 2020
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer
Q Wu, S Wang, XI Chen, Y Wang, L Dong, Z Liu, J Tian, M Wang
Radiotherapy and Oncology 138, 141-148, 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
A deep learning risk prediction model for overall survival in patients with gastric cancer: A multicenter study
L Zhang, D Dong, W Zhang, X Hao, M Fang, S Wang, W Li, Z Liu, R Wang, ...
Radiotherapy and Oncology 150, 73-80, 2020
Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
J Fang, B Zhang, S Wang, Y Jin, F Wang, Y Ding, Q Chen, L Chen, Y Li, ...
Theranostics 10 (5), 2284, 2020
Development of a deep learning model to identify lymph node metastasis on magnetic resonance imaging in patients with cervical cancer
Q Wu, S Wang, S Zhang, M Wang, Y Ding, J Fang, W Qian, Z Liu, K Sun, ...
JAMA network open 3 (7), e2011625-e2011625, 2020
A computed tomography-based radiomic prognostic marker of advanced high-grade serous ovarian cancer recurrence: a multicenter study
W Wei, Z Liu, Y Rong, B Zhou, Y Bai, W Wei, S Wang, M Wang, Y Guo, ...
Frontiers in oncology 9, 255, 2019
Radiomic analysis of multiparametric magnetic resonance imaging for differentiating skull base chordoma and chondrosarcoma
L Li, K Wang, X Ma, Z Liu, S Wang, J Du, K Tian, X Zhou, K Sun, Y Lin, ...
European journal of radiology 118, 81-87, 2019
Identifying the white matter impairments among ART-na´ve HIV patients: a multivariate pattern analysis of DTI data
Z Tang, Z Liu, R Li, X Yang, X Cui, S Wang, D Yu, H Li, E Dong, J Tian
European radiology 27, 4153-4162, 2017
A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
L Li, W Mu, Y Wang, Z Liu, Z Liu, Y Wang, W Ma, Z Kong, S Wang, X Zhou, ...
Frontiers in Oncology 9, 1183, 2019
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