| 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 | 650 | 2019 |
| 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 | 361 | 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 | 97 | 2020 |
| 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 |
| Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy Q Xiong, X Zhou, Z Liu, C Lei, C Yang, M Yang, L Zhang, T Zhu, X Zhuang, ... Clinical and Translational Oncology 22, 50-59, 2020 | 81 | 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 | 47 | 2019 |
| 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 | 44 | 2019 |
| Multiparametric MRI and whole slide image-based pretreatment prediction of pathological response to neoadjuvant chemoradiotherapy in rectal cancer: a multicenter radiopathomic … L Shao, Z Liu, L Feng, X Lou, Z Li, XY Zhang, X Wan, X Zhou, K Sun, ... Annals of surgical oncology 27, 4296-4306, 2020 | 39 | 2020 |
| Radiomics-based preoperative prediction of lymph node status following neoadjuvant therapy in locally advanced rectal cancer X Zhou, Y Yi, Z Liu, Z Zhou, B Lai, K Sun, L Li, L Huang, Y Feng, W Cao, ... Frontiers in Oncology 10, 604, 2020 | 39 | 2020 |
| Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy X Zhuang, C Chen, Z Liu, L Zhang, X Zhou, M Cheng, F Ji, T Zhu, C Lei, ... Translational oncology 13 (11), 100831, 2020 | 30 | 2020 |
| Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy L Shao, YE Yan, Z Liu, X Ye, H Xia, X Zhu, Y Zhang, Z Zhang, H Chen, ... Theranostics 10 (22), 10200, 2020 | 25 | 2020 |
| Deep learning with quantitative features of magnetic resonance images to predict biochemical recurrence of radical prostatectomy: A multi-center study Y Yan, L Shao, Z Liu, W He, G Yang, J Liu, H Xia, Y Zhang, H Chen, C Liu, ... Cancers 13 (12), 3098, 2021 | 24 | 2021 |
| Patient-level prediction of multi-classification task at prostate MRI based on end-to-end framework learning from diagnostic logic of radiologists L Shao, Z Liu, Y Yan, J Liu, X Ye, H Xia, X Zhu, Y Zhang, Z Zhang, H Chen, ... IEEE Transactions on Biomedical Engineering 68 (12), 3690-3700, 2021 | 14 | 2021 |
| Radiomics analysis of postoperative epilepsy seizures in low-grade gliomas using preoperative MR images K Sun, Z Liu, Y Li, L Wang, Z Tang, S Wang, X Zhou, L Shao, C Sun, X Liu, ... Frontiers in oncology 10, 1096, 2020 | 14 | 2020 |
| A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods K Sun, Z Liu, G Chen, Z Zhou, S Zhong, Z Tang, S Wang, G Zhou, X Zhou, ... Journal of Affective Disorders 300, 1-9, 2022 | 12 | 2022 |
| A toolbox for data processing in Radiomics analysis Z Tang, Z Liu, M Fang, S Wang, X Zhou, J Tian Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020 | 2 | 2020 |
| Improving initial nodal staging of T3 rectal cancer using quantitative image features X Zhou, Z Liu, D Zhang, L Wu, K Sun, L Shao, L Huang, Z Li, J Tian Journal of British Surgery 107 (11), e541-e542, 2020 | 1 | 2020 |
| Radiopathomics strategy combining multiparametric MRI with whole-slide image for pretreatment prediction of tumor regression grade to neoadjuvant chemoradiotherapy in rectal cancer L Shao, Z Liu, L Feng, X Lou, Z Li, XY Zhang, X Zhou, K Sun, DF Zhang, ... Cancer Research 80 (16_Supplement), 2014-2014, 2020 | 1 | 2020 |
| Abstract P1-10-29: Radiomics improved pre-therapeutic prediction of breast cancers insensitive to neoadjuvant chemotherapy X Zhou, Z Liu, Y Du, Q Xiong, K Wang, J Tian Cancer Research 80 (4_Supplement), P1-10-29-P1-10-29, 2020 | 1 | 2020 |
| Attention mechanism based multi-sequence MRI fusion improves prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer X Zhou, Y Yu, Y Feng, G Ding, P Liu, L Liu, W Ren, Y Zhu, W Cao Radiation Oncology 18 (1), 175, 2023 | | 2023 |
