Zongyuan Ge（戈宗元）
Zongyuan Ge Ph.D., Associate Professor Monash eResearch Centre, Vice-chancellor and Provost Office Faculty of Engineering, Monash University Office: G34, 15 Innovation Walk Email: zongyuan.ge _at_ monash.edu or z.ge _at_ outlook.com 
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About Me
I currently hold the position of Associate Professor at the Monash University eResearch Centre, along with honorary and adjunct positions as Research Affiliate at the Australian Centre for Robotic Vision, NVIDIA-AI Fellow, the Chief Scientist at Monash-Airdoc Research Centre and Chief Research Officer at Eyetelligence.
After returning to academia in 2018, I founded the Monash Medical AI Group, which targets for advancing medical AI research and deployment. I have brought more than 15 million dollars to the group, and it is now funding over fully-funded 18 PhD students, 3 Research Fellows/Scientists, and 6+ Research Master/FYP students.
Please contact me if you are interested in applying for scientist, software engineer, machine learning engineer, visiting scholar positions in my lab.
Research Interests
I conduct interdisciplinary research at the boundary between artificial intelligence, computer-aided diagnosis, biomedical engineering, medical imaging and machine learning and is a multi-award winning medical information science and technology entrepreneur. My research leverages cutting-edge AI technologies using large-scale multi-modality medical data including imaging, medical records, gene data and models the clinicians’ medical knowledge underlying tasks like diagnosis and prognosis for eye (ophthalmology), skin (dermatology), heart (cardiovascular) and neurodegeneration diseases.
Recent Selected Publications
- Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
D Lin, J Xiong, C Liu, L Zhao, Z Li, S Yu, X Wu, Z Ge, X Hu, B Wang, M Fu, ...
The Lancet Digital Health 3 (8), e486-e495, 2021 Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling.
L.Ju, X.Wang, Z.Xin, P.Bonnington, T.Drummond, Z.Ge
IEEE Transaction on Medical Imaging (TMI), 2021Hierarchical Neural Architecture Search for Deep Stereo Matching–Supplementary Materials .
X.Cheng, Y.Zhong, M.Harandi, Y.Dai, X.Chang, H.Li, T.Drummond, Z.Ge
Advances in Neural Information Processing Systems (NeurIPS), 2021New era of personalised epilepsy management .
Z.Chen, B.Rollo, A.Baker, A.Anderson, Y.Ma, T.Obrien, Z.Ge, X.Wang, P.Kwan
British Medical Journal (The BMJ), 2021Robust early-learning: Hindering the memorization of noisy labels. In International Conference on Learning Representations.
Xia, X., Liu, T., Han, B., Gong, C., Wang, N., Z.Ge, Chang, Y.
International Conference on Learning Representations (ICLR), 2020One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting .
M.Zhang, H.Li, S.Pan, X.Chang, Z.Ge, S.Su
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Professional Activities (Selected)
Professional Memberships and Service
Scientific Advisory Committee, The Australian Research Data Commons (ARDC), 2020 -
Steering Group member, Monash Data Science and AI platform, 2020 -
Research Advisory Committee, Australian Centre of Excellence Melanoma Imaging Diagnosis (ACEMID), 2020 -
Member at Large, Australian Pattern Recognition Society (APRS), 2020 -
Panel Assessors, Monash University Central Clinical School, Faculty of Medicine, 2019 -
Program Committee Member
Journal Reviewer
IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
Elsevier Journal of Medical Image Analysis (MIA)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Multimedia (TMM)
Elsevier Journal of Neural Networks (NN)
Elsevier Journal of Pattern Recognition (PR)
Correspondence
Office
eResearch Centre, 15 Innovation Walk, Monash University
Tel
+61 (03) 9905 9916