| MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins D He, X Wang, C Fu, X Wei, J Bao, X Ji, H Bai, W Xia, X Gao, Y Huang, ... Cancer Imaging 21, 1-9, 2021 | 47 | 2021 |
| Multiparametric magnetic resonance imaging‐based peritumoral radiomics for preoperative prediction of the presence of extracapsular extension with prostate cancer H Bai, W Xia, X Ji, D He, X Zhao, J Bao, J Zhou, X Wei, Y Huang, Q Li, ... Journal of Magnetic Resonance Imaging 54 (4), 1222-1230, 2021 | 38 | 2021 |
| Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study Y Hou, YH Zhang, J Bao, ML Bao, G Yang, HB Shi, Y Song, YD Zhang European Journal of Nuclear Medicine and Molecular Imaging 48, 3805-3816, 2021 | 36 | 2021 |
| Cyclic RGD-functionalized and disulfide-crosslinked iodine-rich polymersomes as a robust and smart theranostic agent for targeted CT imaging and chemotherapy of tumor Y Zou, Y Wei, Y Sun, J Bao, F Yao, Z Li, F Meng, C Hu, G Storm, Z Zhong Theranostics 9 (26), 8061, 2019 | 32 | 2019 |
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| The diagnostic value of PI‑RADS V1 and V2 using multiparametric MRI in transition zone prostate clinical cancer X Wang, J Bao, X Ping, C Hu, J Hou, F Dong, L Guo Oncology letters 16 (3), 3201-3206, 2018 | 27 | 2018 |
| Machine learning-based radiomics model to predict benign and malignant PI-RADS v2. 1 category 3 lesions: a retrospective multi-center study P Jin, J Shen, L Yang, J Zhang, A Shen, J Bao, X Wang BMC Medical Imaging 23 (1), 47, 2023 | 15 | 2023 |
| Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study L Zhao, J Bao, X Qiao, P Jin, Y Ji, Z Li, J Zhang, Y Su, L Ji, J Shen, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (3), 727-741, 2023 | 15 | 2023 |
| Bi-parametric magnetic resonance imaging based radiomics for the identification of benign and malignant prostate lesions: cross-vendor validation X Ji, J Zhang, W Shi, D He, J Bao, X Wei, Y Huang, Y Liu, JC Chen, X Gao, ... Physical and Engineering Sciences in Medicine 44 (3), 745-754, 2021 | 15 | 2021 |
| PI-RADSAI: introducing a new human-in-the-loop AI model for prostate cancer diagnosis based on MRI R Yu, K Jiang, J Bao, Y Hou, Y Yi, D Wu, Y Song, CH Hu, G Yang, ... British Journal of Cancer 128 (6), 1019-1029, 2023 | 13 | 2023 |
| Optimized MRI Assessment for Clinically Significant Prostate Cancer: A STARD‐Compliant Two‐Center Study J Bao, R Zhi, Y Hou, J Zhang, CJ Wu, XM Wang, YD Zhang Journal of Magnetic Resonance Imaging 53 (4), 1210-1219, 2021 | 9 | 2021 |
| Utility of Clinical–Radiomic Model to Identify Clinically Significant Prostate Cancer in Biparametric MRI PI-RADS V2. 1 Category 3 Lesions P Jin, L Yang, X Qiao, C Hu, C Hu, X Wang, J Bao Frontiers in Oncology 12, 840786, 2022 | 8 | 2022 |
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| High-throughput precision MRI assessment with integrated stack-ensemble deep learning can enhance the preoperative prediction of prostate cancer Gleason grade J Bao, Y Hou, L Qin, R Zhi, XM Wang, HB Shi, HZ Sun, CH Hu, YD Zhang British journal of cancer 128 (7), 1267-1277, 2023 | 7 | 2023 |
| A water-quality dynamic monitoring system based on web-server-embedded technology for aquaculture D He, D Li, J Bao, H Juanxiu, S Lu Computer and Computing Technologies in Agriculture IV: 4th IFIP TC 12 …, 2011 | 7 | 2011 |
| The potential of visceral adipose tissue in distinguishing clear cell renal cell carcinoma from renal angiomyolipoma with minimal fat J Liu, J Bao, W Zhang, Q Li, J Hou, X Wei, Y Huang Cancer Management and Research, 8907-8914, 2021 | 5 | 2021 |
| Detecting Adverse Pathology of Prostate Cancer With a Deep Learning Approach Based on a 3D Swin‐Transformer Model and Biparametric MRI: A Multicenter Retrospective Study L Zhao, J Bao, X Wang, X Qiao, J Shen, Y Zhang, P Jin, Y Ji, J Zhang, ... Journal of Magnetic Resonance Imaging 59 (6), 2101-2112, 2024 | 2 | 2024 |
| Development and validation of a multimodality model based on whole-slide imaging and biparametric MRI for predicting postoperative biochemical recurrence in prostate cancer C Hu, X Qiao, R Huang, C Hu, J Bao, X Wang Radiology: Imaging Cancer 6 (3), e230143, 2024 | 2 | 2024 |
| Value of a combined magnetic resonance imaging-based radiomics-clinical model for predicting extracapsular extension in prostate cancer: a preliminary study L Yang, P Jin, J Qian, X Qiao, J Bao, X Wang Translational Cancer Research 12 (7), 1787, 2023 | 2 | 2023 |
| Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study J Bao, X Qiao, Y Song, Y Su, L Ji, J Shen, G Yang, H Shen, X Wang, C Hu Insights into Imaging 15 (1), 68, 2024 | 1 | 2024 |
Guang YangEast China Normal University在 phy.ecnu.edu.cn 的电子邮件经过验证
Guang YangEast China Normal University在 phy.ecnu.edu.cn 的电子邮件经过验证