The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou, K Sun, L Li, B Li, M Wang, ... Theranostics 9 (5), 1303, 2019 | 658 | 2019 |
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 | 480 | 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 | 478 | 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 | 420 | 2020 |
Radiomics of multiparametric MRI for pretreatment prediction of pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study Z Liu, Z Li, J Qu, R Zhang, X Zhou, L Li, K Sun, Z Tang, H Jiang, H Li, ... Clinical Cancer Research 25 (12), 3538-3547, 2019 | 362 | 2019 |
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 | 349 | 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 | 201 | 2018 |
Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer X Zhu, D Dong, Z Chen, M Fang, L Zhang, J Song, D Yu, Y Zang, Z Liu, ... European radiology 28, 2772-2778, 2018 | 188 | 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 | 172 | 2019 |
A new approach to predict progression-free survival in stage IV EGFR-mutant NSCLC patients with EGFR-TKI therapy J Song, J Shi, D Dong, M Fang, W Zhong, K Wang, N Wu, Y Huang, Z Liu, ... Clinical Cancer Research 24 (15), 3583-3592, 2018 | 165 | 2018 |
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 | 150 | 2017 |
Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI study L Bai, J Tian, C Zhong, T Xue, Y You, Z Liu, P Chen, Q Gong, L Ai, W Qin, ... Molecular pain 6, 1744-8069-6-73, 2010 | 145 | 2010 |
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 | 142 | 2019 |
Altered topological patterns of brain networks in mild cognitive impairment and Alzheimer's disease: a resting-state fMRI study Z Liu, Y Zhang, H Yan, L Bai, R Dai, W Wei, C Zhong, T Xue, H Wang, ... Psychiatry Research: Neuroimaging 202 (2), 118-125, 2012 | 139 | 2012 |
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer Z Liu, X Meng, H Zhang, Z Li, J Liu, K Sun, Y Meng, W Dai, P Xie, Y Ding, ... Nature communications 11 (1), 4308, 2020 | 115 | 2020 |
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre … L Feng, Z Liu, C Li, Z Li, X Lou, L Shao, Y Wang, Y Huang, H Chen, ... The Lancet Digital Health 4 (1), e8-e17, 2022 | 104 | 2022 |
Building CT radiomics based nomogram for preoperative esophageal cancer patients lymph node metastasis prediction C Shen, Z Liu, Z Wang, J Guo, H Zhang, Y Wang, J Qin, H Li, M Fang, ... Translational oncology 11 (3), 815-824, 2018 | 98 | 2018 |
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 | 94 | 2019 |
Radiomics-based pretherapeutic prediction of non-response to neoadjuvant therapy in locally advanced rectal cancer X Zhou, Y Yi, Z Liu, W Cao, B Lai, K Sun, L Li, Z Zhou, Y Feng, J Tian Annals of surgical oncology 26, 1676-1684, 2019 | 91 | 2019 |
Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: a multicentre study C Sun, X Tian, Z Liu, W Li, P Li, J Chen, W Zhang, Z Fang, P Du, H Duan, ... EBioMedicine 46, 160-169, 2019 | 86 | 2019 |