| ME‐Net: multi‐encoder net framework for brain tumor segmentation W Zhang, G Yang, H Huang, W Yang, X Xu, Y Liu, X Lai International Journal of Imaging Systems and Technology 31 (4), 1834-1848, 2021 | 113 | 2021 |
| Automatic Prostate Zonal Segmentation Using Fully Convolutional Network with Feature Pyramid Attention Y Liu, G Yang, SA Mirak, M Hosseiny, A Azadikhah, X Zhong, RE Reiter, ... IEEE access 7, 163626 - 163632, 2019 | 102 | 2019 |
| Exploring uncertainty measures in Bayesian deep attentive neural networks for prostate zonal segmentation Y Liu, G Yang, M Hosseiny, A Azadikhah, SA Mirak, Q Miao, SS Raman, ... Ieee Access 8, 151817-151828, 2020 | 86 | 2020 |
| 3D PBV-Net: an automated prostate MRI data segmentation method Y Jin, G Yang, Y Fang, R Li, X Xu, Y Liu, X Lai Computers in biology and medicine 128, 104160, 2021 | 85 | 2021 |
| Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer H Zheng, Q Miao, Y Liu, SA Mirak, M Hosseiny, F Scalzo, SS Raman, ... European radiology 32 (8), 5688-5699, 2022 | 25 | 2022 |
| Textured-based deep learning in prostate cancer classification with 3t multiparametric MRI: comparison with PI-RADS-based classification Y Liu, H Zheng, Z Liang, Q Miao, WG Brisbane, LS Marks, SS Raman, ... Diagnostics 11 (10), 1785, 2021 | 22 | 2021 |
| Functional outcome prediction in acute ischemic stroke using a fused imaging and clinical deep learning model Y Liu, Y Yu, J Ouyang, B Jiang, G Yang, S Ostmeier, M Wintermark, ... Stroke 54 (9), 2316-2327, 2023 | 12 | 2023 |
| Integrative machine learning prediction of prostate biopsy results from negative multiparametric MRI H Zheng, Q Miao, Y Liu, SS Raman, F Scalzo, K Sung Journal of Magnetic Resonance Imaging 55 (1), 100-110, 2022 | 10 | 2022 |
| Deep learning enables prostate MRI segmentation: a large cohort evaluation with inter-rater variability analysis Y Liu, Q Miao, C Surawech, H Zheng, D Nguyen, G Yang, SS Raman, ... Frontiers in Oncology 11, 801876, 2021 | 9 | 2021 |
| Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI Y Liu, F Zabihollahy, R Yan, B Lee, C Janzen, SU Devaskar, K Sung Journal of Magnetic Resonance Imaging, 2022 | 7 | 2022 |
| Haustral loop extraction for CT colonography using geodesics Y Liu, C Duan, J Liang, J Hu, H Lu, M Luo International journal of computer assisted radiology and surgery 12, 379-388, 2017 | 6 | 2017 |
| Random expert sampling for deep learning segmentation of acute ischemic stroke on non-contrast CT S Ostmeier, B Axelrod, Y Liu, Y Yu, B Jiang, N Yuen, B Pulli, ... Journal of NeuroInterventional Surgery, 2024 | 4 | 2024 |
| Undersampling artifact reduction for free-breathing 3D stack-of-radial MRI based on a deep adversarial learning network C Gao, V Ghodrati, SF Shih, HH Wu, Y Liu, MD Nickel, T Vahle, B Dale, ... Magnetic resonance imaging 95, 70-79, 2023 | 2 | 2023 |
| Non-inferiority of deep learning ischemic stroke segmentation on non-contrast CT within 16-hours compared to expert neuroradiologists S Ostmeier, B Axelrod, BFJ Verhaaren, S Christensen, A Mahammedi, ... Scientific Reports 13 (1), 16153, 2023 | 1 | 2023 |
| A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes Y Liu, P Shah, Y Yu, J Horsey, J Ouyang, B Jiang, G Yang, JJ Heit, ... American Journal of Neuroradiology 45 (4), 406-411, 2024 | | 2024 |
| Absolute Breast Imaging Review: Multimodality Cases for the Core Exam L Chow, B Li Springer Nature, 2022 | | 2022 |
| Advancing Segmentation and Classification Methods in Magnetic Resonance Imaging via Artificial Intelligence Y Liu University of California, Los Angeles, 2022 | | 2022 |
| Deep Learning-enabled Prostate Segmentation: Large Cohort Evaluation with Inter-Reader Variability Analysis Y Liu, M Qi, C Surawech, H Zheng, D Nguyen, G Yang, S Raman, K Sung | | |
| Texture-Based Deep Learning for Prostate Cancer Classification with Multiparametric MRI Y Liu, H Zheng, Z Liang, M Qi, W Brisbane, L Marks, S Raman, R Reiter, ... | | |
Guang Yang, IEEE Senior MemberAssociate Professor & UKRI Future Leaders Fellow, Bioengineering/Imperial-X, Imperial College LondonBestätigte E-Mail-Adresse bei imperial.ac.uk
