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.
Detect cerebral hemorrhage and brain damage from CT/MRI and warn against high-risk lesions.
Assess cardiovascular risk by detecting abnormal characteristics from chest CT and ECG.
Segment organ areas and detect lesions to assess risk of fatty liver.
Detect bone fracture area from CT data and recognize abnormal bones.
Detect and grade lesions from mammography data.
Detect the suspicious cell vision in TCT slide to assist cervical cancer screening.
 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]
 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]
 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]
 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]
 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]
 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]
 Mahapatra, D. and Ge, Z., 2019. Training Data Independent Image Registration Using Generative Adversarial Networks And Domain Adaptation. Pattern Recognition, p.107109. [link]
 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]
 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]
 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]