| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 1779 | 2018 |
| S3D-UNet: separable 3D U-Net for brain tumor segmentation W Chen, B Liu, S Peng, J Sun, X Qiao Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 284 | 2019 |
| Computer-aided grading of gliomas combining automatic segmentation and radiomics W Chen, B Liu, S Peng, J Sun, X Qiao International journal of biomedical imaging 2018, 2018 | 77 | 2018 |
| YKT6, as a potential predictor of prognosis and immunotherapy response for oral squamous cell carcinoma, is related to cell invasion, metastasis, and CD8+ T cell … Z Yang, G Yan, L Zheng, W Gu, F Liu, W Chen, X Cui, Y Wang, Y Yang, ... Oncoimmunology 10 (1), 1938890, 2021 | 62 | 2021 |
| HSN: hybrid segmentation network for small cell lung cancer segmentation W Chen, H Wei, S Peng, J Sun, X Qiao, B Liu IEEE Access 7, 75591-75603, 2019 | 53 | 2019 |
| Multi‐scale 3d u‐nets: an approach to automatic segmentation of brain tumor S Peng, W Chen, J Sun, B Liu International Journal of Imaging Systems and Technology 30 (1), 5-17, 2020 | 46 | 2020 |
| DRRNet: dense residual refine networks for automatic brain tumor segmentation J Sun, W Chen, S Peng, B Liu Journal of medical systems 43, 1-9, 2019 | 42 | 2019 |
| Predicting the risk of adverse events in pregnant women with congenital heart disease R Chu, W Chen, G Song, S Yao, L Xie, L Song, Y Zhang, L Chen, X Zhang, ... Journal of the American Heart Association 9 (14), e016371, 2020 | 32 | 2020 |
| Machine learning for histologic subtype classification of non-small cell lung cancer: a retrospective multicenter radiomics study F Yang, W Chen, H Wei, X Zhang, S Yuan, X Qiao, YW Chen Frontiers in Oncology 10, 608598, 2021 | 29 | 2021 |
| Computer-aided diagnostic system based on deep learning for classifying colposcopy images L Liu, Y Wang, X Liu, S Han, L Jia, L Meng, Z Yang, W Chen, Y Zhang, ... Annals of Translational Medicine 9 (13), 2021 | 22 | 2021 |
| Automatic brain tumor segmentation based on features of separated local square W Chen, X Qiao, B Liu, X Qi, W Rui, W Xiaoya 2017 Chinese Automation Congress (CAC), 6489-6493, 2017 | 21 | 2017 |
| MAU-Net: Multiple attention 3D U-Net for lung cancer segmentation on CT images W Chen, F Yang, X Zhang, X Xu, X Qiao Procedia Computer Science 192, 543-552, 2021 | 12 | 2021 |
| Risk stratification of early-stage cervical cancer with intermediate-risk factors: model development and validation based on machine learning algorithm R Chu, Y Zhang, X Qiao, L Xie, W Chen, Y Zhao, Y Xu, Z Yuan, X Liu, ... The Oncologist 26 (12), e2217-e2226, 2021 | 11 | 2021 |
| Integrating radiomics with genomics for non-small cell lung cancer survival analysis W Chen, X Qiao, S Yin, X Zhang, X Xu Journal of Oncology 2022, 2022 | 8 | 2022 |
| Using vision transformers in 3-D medical image classifications L Gai, W Chen, R Gao, YW Chen, X Qiao 2022 IEEE International Conference on Image Processing (ICIP), 696-700, 2022 | 7 | 2022 |
| Practical model for residual/recurrent cervical intraepithelial lesions in patients with negative margins after cold-knife conization W Chen, Y Dong, L Liu, L Jia, L Meng, H Liu, L Wang, Y Xu, Y Zhang, ... Journal of Clinical Medicine 11 (19), 5634, 2022 | 2 | 2022 |
| tensorGSEA: Detecting differential pathways in type 2 diabetes via tensor-based data reconstruction X Qiao, X Zhang, W Chen, X Xu, YW Chen, ZP Liu Interdisciplinary Sciences: Computational Life Sciences 14 (2), 520-531, 2022 | 2 | 2022 |
| Prior active shape model for detecting pelvic landmarks C Lu, W Chen, X Qiao, Q Zeng International KES Conference on Innovation in Medicine and Healthcare, 295-304, 2023 | 1 | 2023 |
| Deep learning radiomics-based preoperative prediction of recurrence in chronic rhinosinusitis S He, W Chen, X Wang, X Xie, F Liu, X Ma, X Li, A Li, X Feng Iscience 26 (4), 2023 | 1 | 2023 |
| Prediction of therapy response in patients with NSCLC based on CT images X Zhang, L Liu, W Chen, F Yang, X Qiao, YW Chen 2022 4th International Conference on Intelligent Medicine and Image …, 2022 | 1 | 2022 |
