Scholar

Zongyuan (Tony) Ge

Google Scholar ID: Q0gUrcIAAAAJ

Associate Prof | Director of AIM for Health Lab | NVIDIA AI Fellowship

LLMFoundation ModelMulti-ModalMedical AIRobotics

Citations & Impact

All-time

Citations

15,489

H-index

i10-index

156

Publications

Co-authors

list available

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Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Selected Publications:
1. Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy, JAMA Neurology, 2022.
2. Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs, Nature Eye, 2022.
3. Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study, The Lancet Digital Health, 2021.
4. Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling, IEEE Transaction on Medical Imaging (TMI), 2021.
5. Hierarchical Neural Architecture Search for Deep Stereo Matching–Supplementary Materials, Advances in Neural Information Processing Systems (NeurIPS), 2021.
6. New era of personalised epilepsy management, British Medical Journal.

Research Experience

Work Experience: Led and contributed to several international research projects in areas like dermatology, ophthalmology, radiology, and neurology, collaborating with major industry companies such as IBM Watson Health, Airdoc/Eyetelligence. Position: Chief Scientist at the Monash-Airdoc Research Centre, leading the AI technology and product development team.

Education

Degree: Ph.D.; School: Not specified; Advisor: Not mentioned; Time: Not mentioned; Major: Not mentioned.

Background

Research Interests: Medical Artificial Intelligence, Computer-aided Diagnosis, Biomedical Engineering, Medical Imaging, and Machine Learning. Professional Fields: Interdisciplinary research, particularly in ophthalmology, dermatology, cardiology, and neurodegenerative diseases such as epilepsy and multiple sclerosis for diagnosis, prognosis, and treatment. Brief Introduction: Currently a tenured Associate Professor at the Faculty of IT, Monash University, also holds honorary and adjunct positions as Research Affiliate at the Australian Centre for Robotic Vision, NVIDIA-AI Fellow, Chief Scientist at Monash-Airdoc Research Centre, and Chief Research Officer at Eyetelligence.

Miscellany