| 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 | 655 | 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 |
| 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 | 114 | 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 |
| 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 | 62 | 2020 |
| Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study X Liu, D Zhang, Z Liu, Z Li, P Xie, K Sun, W Wei, W Dai, Z Tang, Y Ding, ... EBioMedicine 69, 2021 | 56 | 2021 |
| Classification of unmedicated bipolar disorder using whole-brain functional activity and connectivity: a radiomics analysis Y Wang, K Sun, Z Liu, G Chen, Y Jia, S Zhong, J Pan, L Huang, J Tian Cerebral Cortex 30 (3), 1117-1128, 2020 | 56 | 2020 |
| Automated detection of hippocampal sclerosis using clinically empirical and radiomics features J Mo, Z Liu, K Sun, Y Ma, W Hu, C Zhang, Y Wang, X Wang, C Liu, B Zhao, ... Epilepsia 60 (12), 2519-2529, 2019 | 55 | 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 | 47 | 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 |
| 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 | 25 | 2021 |
| 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 |
| 3D deep learning model for the pretreatment evaluation of treatment response in esophageal carcinoma: a prospective study (ChiCTR2000039279) X Li, H Gao, J Zhu, Y Huang, Y Zhu, W Huang, Z Li, K Sun, Z Liu, J Tian, ... International Journal of Radiation Oncology* Biology* Physics 111 (4), 926-935, 2021 | 23 | 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 deep learning radiomics analysis for identifying sinus invasion in patients with meningioma before operation using tumor and peritumoral regions K Sun, J Zhang, Z Liu, Q Qiu, H Gao, P Liu, K Chen, W Wei, L Wang, ... European Journal of Radiology 149, 110187, 2022 | 11 | 2022 |
| Preoperative prediction of peritoneal metastasis in colorectal cancer using a clinical-radiomics model M Li, K Sun, W Dai, W Xiang, Z Zhang, R Zhang, R Wang, Q Li, S Mo, ... European journal of radiology 132, 109326, 2020 | 11 | 2020 |
| Patient-level grading prediction of prostate cancer from mp-MRI via GMINet L Shao, Z Liu, J Liu, Y Yan, K Sun, X Liu, J Lu, J Tian Computers in Biology and Medicine 150, 106168, 2022 | 3 | 2022 |
