[1] James Thomas Patrick Decourcy Hallinan*, Lei Zhu*, Kaiyuan Yang, Andrew Makmur, Diyaa Algazwi Rauf Algazwi, Yee Liang Thian, Samuel Lau, Yun Song Choo, Sterling Ellis Eide, Qai Ven Yap, Yiong Huak Chan, Jiong Hao Tan, Naresh Kumar, Beng Chin Ooi, Hiroshi Yoshioka, and S­­wee Tian Quek, “Deep learning model for automated detection and classification of central canal, lateral recess and neural foraminal stenosis on lumbar spine MRI” Radiology, p. 204289, 2021. 影响因子15.2 中科院一区TOP (2021).

[2] Desmond Shi Wei Lim, Andrew Makmur, Lei Zhu, Wenqiao Zhang, Amanda Cheng, David Soon Yiew Sia, Eide Sterling, Han Yang Ong, Pooja Jagmohan, Wei Chuan Tan, Vanessa Khoo, Ying Mei Wong, Weeliang Thian, Sangeetha Baskar, Ee Chin Teo, Diyaa Algazwi, Qai Ven Yap, Yiong Huak Chan, Jiong Hao Tan, Naresh Kumar, Beng Chin Ooi, Hiroshi Yoshioka, Swee Tian Quek, and James Hallinan. “Improved productivity using deep learning assisted reporting for MRI lumbar spine” Radiology, 2022. 影响因子 15.2 中科院一区TOP (2022).

[3] Lei Zhu, Zhaojing Luo, Wei Wang, Meihui Zhang, Gang Chen, and Kaiping Zheng, “Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal” In Proceedings of the 29th ACM International Conference on Multimedia (MM ’21), https://doi.org/10.1145/3474085.34751751. (CCF-A)

[4] Lei Zhu, Kaiyuan Yang, Meihui Zhang, Ling Ling Chan, Teck Khim Ng, and Beng Chin Ooi, “Semi-Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation” in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, 2021, pp. 394-404. (CCF-B)

[5] Lei Zhu, Jun Zhou, Rick Siow Mong Goh, Yong Liu. "AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation." in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, 2025. (CCF-B)

[6] Lei Zhu, Ling Ling Chan, Teck Khim Ng, Meihui Zhang, and Beng Chin Ooi, "Deep co-training for cross-modality medical image segmentation." In European Conference on Artificial Intelligence (ECAI) 2023, pp. 3140-3147. IOS Press, 2023. (CCF-B)

[7] Chang Liu*, Lei Zhu*, Gavin Patrick O'Donnell, Mui Hui Koh, Mingyi Yu, Isabelle Xin Yu Lee, Ching-Yu Cheng, Jun Zhou, Xinxing Xu, Rick Siow Mong Goh, Yong Liu. “Prediction of the risk of diabetic foot from corneal nerve images using deep learning algorithms” Diabetes Research and Clinical Practice, 2025. 影响因子 7.4 JCR一区 (2025)

[8] Lei Zhu, Yanyu Xu, Yong Liu, Rick Siow Mong Goh, and Xinxing Xu. "Ad2Mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 6581-6590. IEEE, 2025.

[9] Wenqiao Zhang, Lei Zhu, James Hallinan, Andrew Makmur, Shengyu Zhang, Qingpeng Cai, and Beng Chin Ooi. “BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation” In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), 2022. (CCF-A)

[10] James Thomas Patrick Decourcy Hallinan*, Lei Zhu*, Wenqiao Zhang, Tricia Kuah, Desmond Shi Wei Lim, Xi Zhen Low, Amanda J L Cheng, Sterling Ellis Eide, Han Yang Ong, Faimee Erwan Muhamat Nor, Ahmed Mohamed Alsooreti, Mona I AlMuhaish, Kuan Yuen Yeong, Ee Chin Teo, Nesaretnam Barr Kumarakulasinghe, Qai Ven Yap, Yiong Huak Chan, Shuxun Lin, Jiong Hao Tan, Naresh Kumar, Balamurugan A Vellayappan, Beng Chin Ooi, Swee Tian Quek, and Andrew Makmur. “Deep learning model for grading metastatic epidural spinal cord compression on staging CT” Cancers, 2022. 影响因子 4.4 中科院二区 (2022).