| Deep learning vs. radiomics for predicting axillary lymph node metastasis of breast cancer using ultrasound images: don't forget the peritumoral region Q Sun, X Lin, Y Zhao, L Li, K Yan, D Liang, D Sun, ZC Li Frontiers in oncology 10, 53, 2020 | 230 | 2020 |
| Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: a multicentre study ZC Li, H Bai, Q Sun, Q Li, L Liu, Y Zou, Y Chen, C Liang, H Zheng European radiology 28, 3640-3650, 2018 | 167 | 2018 |
| A fully-automatic multiparametric radiomics model: towards reproducible and prognostic imaging signature for prediction of overall survival in glioblastoma multiforme Q Li, H Bai, Y Chen, Q Sun, L Liu, S Zhou, G Wang, C Liang, ZC Li Scientific reports 7 (1), 14331, 2017 | 159 | 2017 |
| Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma ZC Li, H Bai, Q Sun, Y Zhao, Y Lv, J Zhou, C Liang, Y Chen, D Liang, ... Cancer medicine 7 (12), 5999-6009, 2018 | 101 | 2018 |
| Biologic pathways underlying prognostic radiomics phenotypes from paired MRI and RNA sequencing in glioblastoma Q Sun, Y Chen, C Liang, Y Zhao, X Lv, Y Zou, K Yan, H Zheng, D Liang, ... Radiology 301 (3), 654-663, 2021 | 74 | 2021 |
| Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities J Yan, Y Zhao, Y Chen, W Wang, W Duan, L Wang, S Zhang, T Ding, L Liu, ... EBioMedicine 72, 2021 | 57 | 2021 |
| Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer S Zhang, M Song, Y Zhao, S Xu, Q Sun, G Zhai, D Liang, G Wu, ZC Li European journal of radiology 131, 109219, 2020 | 30 | 2020 |
| Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling … Y Zhao, G Liu, Q Sun, G Zhai, G Wu, ZC Li European Radiology 31, 5032-5040, 2021 | 27 | 2021 |
| Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images W Wang, Y Zhao, L Teng, J Yan, Y Guo, Y Qiu, Y Ji, B Yu, D Pei, W Duan, ... Nature Communications 14 (1), 6359, 2023 | 25 | 2023 |
| Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study J Yan, S Zhang, Q Sun, W Wang, W Duan, L Wang, T Ding, D Pei, C Sun, ... Laboratory Investigation 102 (2), 154-159, 2022 | 22 | 2022 |
| Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI W Wu, J Yan, Y Zhao, Q Sun, H Zhang, J Cheng, D Liang, Y Chen, ... Displays 78, 102402, 2023 | 21 | 2023 |
| Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study J Yan, Q Sun, X Tan, C Liang, H Bai, W Duan, T Mu, Y Guo, Y Qiu, ... European Radiology 33 (2), 904-914, 2023 | 17 | 2023 |
| 3D deep attention network for survival prediction from magnetic resonance images in glioblastoma Z Liu, Q Sun, H Bai, C Liang, Y Chen, ZC Li 2019 IEEE international conference on image processing (ICIP), 1381-1384, 2019 | 13 | 2019 |
| Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study J Duan, Z Zhang, Y Chen, Y Zhao, Q Sun, W Wang, H Zheng, D Liang, ... Molecular Oncology 17 (4), 629-646, 2023 | 10 | 2023 |
| A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer Y Zhao, L Li, K Han, T Li, J Duan, Q Sun, C Zhu, D Liang, N Chai, ZC Li Abdominal Radiology 48 (11), 3332-3342, 2023 | 9 | 2023 |
| Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma H You, Y Zhao, Q Sun, W Wu, X Lv, Y Chen, H Zhang, ZC Li Displays 77, 102399, 2023 | 8 | 2023 |
| Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas Z Liu, X Hong, L Wang, Z Ma, F Guan, W Wang, Y Qiu, X Zhang, W Duan, ... BMC cancer 23 (1), 848, 2023 | 6 | 2023 |
| Identifying a radiomics imaging signature for prediction of overall survival in glioblastoma multiforme ZC Li, Q Li, Q Sun, R Luo, Y Chen 2017 10th Biomedical Engineering International Conference (BMEiCON), 1-4, 2017 | 6 | 2017 |
| Imaging‐proteomic analysis for prediction of neoadjuvant chemotherapy responses in patients with breast cancer J Duan, Y Zhao, Q Sun, D Liang, Z Liu, X Chen, ZC Li Cancer Medicine 12 (23), 21256-21269, 2023 | 4 | 2023 |
| 3D Deep residual encoder-decoder CNNS with squeeze-and-excitation for brain tumor segmentation K Yan, Q Sun, L Li, Z Li Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 4 | 2020 |
