| Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation W Zhang, L Zhu, J Hallinan, S Zhang, A Makmur, Q Cai, BC Ooi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 77 | 2022 |
| Deep learning model for automated detection and classification of central canal, lateral recess, and neural foraminal stenosis at lumbar spine MRI JTPD Hallinan, L Zhu, K Yang, A Makmur, DAR Algazwi, YL Thian, S Lau, ... Radiology 300 (1), 130-138, 2021 | 75 | 2021 |
| MLCask: Efficient management of component evolution in collaborative data analytics pipelines Z Luo, SH Yeung, M Zhang, K Zheng, L Zhu, G Chen, F Fan, Q Lin, ... 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1655-1666, 2021 | 25 | 2021 |
| Improved productivity using deep learning–assisted reporting for lumbar spine MRI DSW Lim, A Makmur, L Zhu, W Zhang, AJL Cheng, DSY Sia, SE Eide, ... Radiology 305 (1), 160-166, 2022 | 20 | 2022 |
| Application of artificial intelligence methods for imaging of spinal metastasis W Ong, L Zhu, W Zhang, T Kuah, DSW Lim, XZ Low, YL Thian, EC Teo, ... Cancers 14 (16), 4025, 2022 | 15 | 2022 |
| Deep learning model for classifying metastatic epidural spinal cord compression on MRI JTPD Hallinan, L Zhu, W Zhang, DSW Lim, S Baskar, XZ Low, KY Yeong, ... Frontiers in Oncology 12, 849447, 2022 | 14 | 2022 |
| Semi-supervised unpaired multi-modal learning for label-efficient medical image segmentation L Zhu, K Yang, M Zhang, LL Chan, TK Ng, BC Ooi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 13 | 2021 |
| Application of machine learning for differentiating bone malignancy on imaging: a systematic review W Ong, L Zhu, YL Tan, EC Teo, JH Tan, N Kumar, BA Vellayappan, ... Cancers 15 (6), 1837, 2023 | 6 | 2023 |
| Unsupervised domain adaptation for static malware detection based on gradient boosting trees P Qi, W Wang, L Zhu, SK Ng Proceedings of the 30th ACM International Conference on Information …, 2021 | 5 | 2021 |
| Deep learning model for grading metastatic epidural spinal cord compression on staging CT JTPD Hallinan, L Zhu, W Zhang, T Kuah, DSW Lim, XZ Low, AJL Cheng, ... Cancers 14 (13), 3219, 2022 | 4 | 2022 |
| Diagnostic accuracy of CT for metastatic epidural spinal cord compression JTPD Hallinan, S Ge, L Zhu, W Zhang, YT Lim, YL Thian, P Jagmohan, ... Cancers 14 (17), 4231, 2022 | 3 | 2022 |
| Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal L Zhu, Z Luo, W Wang, M Zhang, G Chen, K Zheng Proceedings of the 29th ACM International Conference on Multimedia, 3024-3033, 2021 | 1 | 2021 |
| A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT JTPD Hallinan, L Zhu, HWN Tan, SJ Hui, X Lim, BWL Ong, HY Ong, ... European Spine Journal 32 (11), 3815-3824, 2023 | | 2023 |
| Deep Co-Training for Cross-Modality Medical Image Segmentation L Zhu, LL Chan, TK Ng, M Zhang, BC Ooi European Conference on Artificial Intelligence 372, 3140 - 3147, 2023 | | 2023 |
| Deep learning assessment compared to radiologist reporting for metastatic spinal cord compression on CT JTPD Hallinan, L Zhu, W Zhang, S Ge, FE Muhamat Nor, HY Ong, ... Frontiers in Oncology 13, 1151073, 2023 | | 2023 |
| Deep learning pipeline for automated detection and classification of central canal, lateral recess and neural foraminal stenosis on lumbar spine MRI JH Tan, L Zhu, K Yang, H Yoshioka, BC Ooi, DAR Algazwi, ST Quek, ... Brain and Spine 1, 100240, 2021 | | 2021 |
Beng Chin OOINational University of SingaporeVerified email at comp.nus.edu.sg
