Lie Ju

PhD Candidate

Monash Medical AI Group (MMAI),
Department of Engineering, Monash University,
eResearch Centre, Monash University,

Email: julie334600@gmail.com & Lie.Ju1@monash.edu

Biography

I am currently a final-year bachelor-straight-to-Ph.D student in Monash Medical AI Group ( MMAI ) at Monash University under the supervision of A/Prof. Zongyuan Ge and Prof. Tom Drummond. I got a bachelor degree at Northwest A&F University in 2019 in China.

My research interest lies in medical image analysis, long-tailed learning and annotation-efficient learning.

Selected Publications

	Hierarchical knowledge guided learning for real-world retinal diseases recognition. Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, Paul Bonnington, Zongyuan Ge IEEE Transactions on Medical Imaging (TMI), 2023. [paper] [code]
	Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling. Lie Ju, Xin Wang, Xin Zhao, Paul Bonnington, Tom Drummond, Zongyuan Ge. IEEE Transactions on Medical Imaging (TMI), 2021. [paper]
	Synergic adversarial label learning for grading retinal diseases via knowledge distillation and multi-task learning. Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, Paul Bonnington, Zongyuan Ge. IEEE Journal of Biomedical and Health Informatics (JBHI), 2021. [paper] [code]

Professional Activities

Conference Reviews:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
AAAI Conference on Artificial Intelligence (AAAI)
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Journal Reviews:
IEEE Transactions on Medical Imaging (TMI)
Medical Image Analysis (MedIA)
IEEE Transactions on Image Processing (TIP)
IEEE Journal of Biomedical and Health Informatics (JBHI)
IEEE Access
Neurocomputing
Computers in Biology and Medicine (CIBM)
Scientific Reports