| Machine learning-based analysis of rectal cancer MRI radiomics for prediction of metachronous liver metastasis M Liang, Z Cai, H Zhang, C Huang, Y Meng, L Zhao, D Li, X Ma, X Zhao Academic radiology 26 (11), 1495-1504, 2019 | 65 | 2019 |
| The retinoid X receptor from mud crab: new insights into its roles in ovarian development and related signaling pathway J Gong, C Huang, L Shu, C Bao, H Huang, H Ye, C Zeng, S Li Scientific reports 6 (1), 23654, 2016 | 42 | 2016 |
| Magnetic resonance imaging‐based radiomics nomogram for prediction of the histopathological grade of soft tissue sarcomas: A two‐center study R Yan, D Hao, J Li, J Liu, F Hou, H Chen, L Duan, C Huang, H Wang, ... Journal of Magnetic Resonance Imaging 53 (6), 1683-1696, 2021 | 35 | 2021 |
| Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework L Wang, W Ding, Y Mo, D Shi, S Zhang, L Zhong, K Wang, J Wang, ... European journal of nuclear medicine and molecular imaging 48 (13), 4293-4306, 2021 | 32 | 2021 |
| Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study S Liu, W Sun, S Yang, L Duan, C Huang, J Xu, F Hou, D Hao, T Yu, ... European Radiology 32 (2), 793-805, 2022 | 26 | 2022 |
| A clinical semantic and radiomics nomogram for predicting brain invasion in WHO grade II meningioma based on tumor and tumor-to-brain interface features N Li, Y Mo, C Huang, K Han, M He, X Wang, J Wen, S Yang, H Wu, ... Frontiers in oncology 11, 752158, 2021 | 24 | 2021 |
| Study on the prognosis predictive model of COVID-19 patients based on CT radiomics D Wang, C Huang, S Bao, T Fan, Z Sun, Y Wang, H Jiang, S Wang Scientific reports 11 (1), 11591, 2021 | 21 | 2021 |
| An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis H Li, Y Mo, C Huang, Q Ren, X Xia, X Nan, X Shuai, X Meng Annals of Translational Medicine 9 (7), 2021 | 21 | 2021 |
| Use of radiomics to improve diagnostic performance of PI-RADS v2. 1 in prostate cancer M Li, L Yang, Y Yue, J Xu, C Huang, B Song Frontiers in Oncology 10, 631831, 2021 | 21 | 2021 |
| Radiomics for predicting perineural invasion status in rectal cancer M Li, YM Jin, YC Zhang, YL Zhao, CC Huang, SM Liu, B Song World Journal of Gastroenterology 27 (33), 5610, 2021 | 19 | 2021 |
| CT radiomics for the preoperative prediction of Ki67 index in gastrointestinal stromal tumors: a multi-center study Y Zhao, M Feng, M Wang, L Zhang, M Li, C Huang Frontiers in oncology 11, 689136, 2021 | 18 | 2021 |
| CT radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors: a multi-class classification and multi-center study Z Chen, L Xu, C Zhang, C Huang, M Wang, Z Feng, Y Xiong Frontiers in Oncology 11, 654114, 2021 | 17 | 2021 |
| Predicting myometrial invasion in endometrial cancer based on whole-uterine magnetic resonance radiomics Y Han, H Xu, Y Ming, Q Liu, C Huang, J Xu, J Zhang, Y Li Journal of Cancer Research and Therapeutics 16 (7), 1648-1655, 2020 | 16 | 2020 |
| Computed tomography-based radiomics for preoperative prediction of tumor deposits in rectal cancer Y Jin, M Li, Y Zhao, C Huang, S Liu, S Liu, M Wu, B Song Frontiers in Oncology 11, 710248, 2021 | 14 | 2021 |
| Computed tomography-based radiomics model to preoperatively predict microsatellite instability status in colorectal cancer: A multicenter study Z Li, Q Zhong, L Zhang, M Wang, W Xiao, F Cui, F Yu, C Huang, Z Feng Frontiers in Oncology 11, 666786, 2021 | 14 | 2021 |
| Development and assessment of deep learning system for the location and classification of rib fractures via computed tomography C Yang, J Wang, J Xu, C Huang, F Liu, W Sun, R Hong, L Zhang, D Ma, ... European journal of radiology 154, 110434, 2022 | 13 | 2022 |
| A deep-learning aided diagnostic system in assessing developmental dysplasia of the hip on pediatric pelvic radiographs W Xu, L Shu, P Gong, C Huang, J Xu, J Zhao, Q Shu, M Zhu, G Qi, G Zhao, ... Frontiers in Pediatrics 9, 785480, 2022 | 13 | 2022 |
| Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning H Li, J Liu, Z Dong, X Chen, C Zhou, C Huang, Y Li, Q Liu, X Su, X Cheng, ... Journal of Neurology 269 (12), 6494-6503, 2022 | 12 | 2022 |
| Deep learning radiomics nomogram to predict lung metastasis in soft-tissue sarcoma: a multi-center study H Liang, S Yang, H Zou, F Hou, L Duan, C Huang, J Xu, S Liu, D Hao, ... Frontiers in Oncology 12, 897676, 2022 | 12 | 2022 |
| Prediction efficacy of feature classification of solitary pulmonary nodules based on CT radiomics Q Xu, W Shan, Y Zhu, C Huang, S Bao, L Guo European Journal of Radiology 139, 109667, 2021 | 12 | 2021 |
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