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Monash Medical AI Group

We believe AI + Medical will bring better healthcare into this world.

Our mission is to deliver high-quality healthcare service through world-class research with industry partners and healthcare providers.

More medical image analysis

Brain

Detect cerebral hemorrhage and brain damage from CT/MRI and warn against high-risk lesions.

Cardiovascular

Assess cardiovascular risk by detecting abnormal characteristics from chest CT and ECG.

Liver

Segment organ areas and detect lesions to assess risk of fatty liver.

Bone

Detect bone fracture area from CT data and recognize abnormal bones.

Breast

Detect and grade lesions from mammography data.

Uterine Neck

Detect the suspicious cell vision in TCT slide to assist cervical cancer screening.

People

Member

Dr. Zongyuan Ge

Group Leader
Member

Prof. Paul Bonnington

eResearch Center Director
Member

Dr. Toan Nguyen

Senior Visualisation & Machine learning Specialist
Member

Dr. Rui Zeng

Postdocoral Researcher
Member

Xin Wang

Industry research leader
Member

Lie Ju

PhD candidate

Zhen Yu

PhD candidate
Member
Member

Guoxia Xu

PhD candidate

Yukun Zhou

PhD candidate
Member
Member

Yunyan Xing

PhD candidate

Member

Xuelian Cheng

PhD candidate

Aaron Choong

PhD candidate
Member

Qingyi Tao

External PhD candidate
Member

Danli Shi

External PhD candidate
Member

Xuelin Zhang

Research master
Member

Yanfei Zhang

Research master
Member

Yu Liu

Research master
Member

Sheng Wong

Nvidia Intern
Member

James Tong

Nvidia Intern
Member

Advisors

Member

Prof. Tom Drummond

ECSE Head of School
Member

Dr. Mehrtash Harandi

Senior Lecturer

Recent Publications

[1] Xing, Y., Ge, Z., Zeng, R., Mahapatra, D., Seah, J., Law, M., & Drummond, T. (2019, October). Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 757-765). Springer, Cham. [link]

[2] Wang, X., Ju, L., Zhao, X., & Ge, Z. (2019, October). Retinal Abnormalities Recognition Using Regional Multitask Learning. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 30-38). Springer, Cham. [link]

[3] Tao, Q., Ge, Z., Cai, J., Yin, J., & See, S. (2019, October). Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 185-193). Springer, Cham. [link]

[4] Zeng, R., Ge, Z., Denman, S., Sridharan, S. and Fookes, C., 2019. Geometry-constrained Car Recognition Using a 3D Perspective Network. In Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). [link]

[5] Wu, Z., Lin, G., Tao, Q. and Cai, J., 2019, October. M2e-try on net: Fashion from model to everyone. In Proceedings of the 27th ACM International Conference on Multimedia (pp. 293-301). ACM.[link]

[6] Gu, Y., Ge, Z., Bonnington, C.P. and Zhou, J., 2019. Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification. IEEE journal of biomedical and health informatics.[link]

[7] Mahapatra, D. and Ge, Z., 2019. Training Data Independent Image Registration Using Generative Adversarial Networks And Domain Adaptation. Pattern Recognition, p.107109. [link]

[8] Zhang, F., Leitner, J., Ge, Z., Milford, M. and Corke, P., 2019. Adversarial discriminative sim-to-real transfer of visuo-motor policies. The International Journal of Robotics Research, 38(10-11), pp.1229-1245. [link]

[9] Wu, X., Liu, Z., Lai, W., Long, E., Zhang, K., Jiang, J., Lin, D., Chen, K., Yu, T., Wu, D. and Li, C., 2019. A Universal Artificial Intelligence Platform for Collaborative Management of Cataracts. [link]

[10] Zhang, Y., Yu, S., Xie, R., Li, J., Leier, A., Marquez-Lago, T.T., Akutsu, T., Smith, A.I., Ge, Z., Wang, J. and Lithgow, T., PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins. Bioinformatics. [link]

Opportunities

3 x PhD positions: Descriptions

Postdoc position: Descriptions (Xi'an Jiaotong University)

Postdoc position: Descriptions (Monash University)

Postdoc position: Descriptions (Alfred Health)

Lead Machine Learning Engineer: Descriptions (XY Sense)

Collaborators

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