| 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 | 767 | 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 | 540 | 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 | 507 | 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 | 506 | 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 | 448 | 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 | 389 | 2019 |
| 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 | 160 | 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 | 160 | 2017 |
| 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 in …, 2017 | 136 | 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 | 131 | 2019 |
| 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 | 103 | 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 | 101 | 2020 |
| 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 | 98 | 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 | 83 | 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 | 72 | 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 | 70 | 2020 |
| 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 | 56 | 2019 |
| 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 | 51 | 2019 |
| Identifying the white matter impairments among ART-naïve 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 | 47 | 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 | 45 | 2019 |
Jie TianVerified email at ieee.org
