Zongyuan (Tony) Ge

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Lie JuUniversity College London; Moorfields Eye Hospital; Monash UniversityVerified email at ucl.ac.uk
Mingguang HeThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Dwarikanath MahapatraKhalifa UniversityVerified email at ku.ac.ae
Zhen YuSchool of Translational Medicine & Faculty of IT, Monash UniversityVerified email at monash.edu
Wei FengMonash UniversityVerified email at monash.edu
Xuelian ChengMonash UniversityVerified email at monash.edu
Patrick KwanMonash Institute of Medical Engineering, Monash University, Melbourne, AustraliaVerified email at monash.edu
Victoria MarMonash UniversityVerified email at monash.edu
Chris McCoolSenior Principal Research Scientist, CSIROVerified email at uni-bonn.de
Alex BewleyGoogle DeepMindVerified email at google.com
Rahil GarnaviProfessor, Director, RAIsE Hub, The Royal Melbourne Institute of Technology (RMIT)Verified email at rmit.edu.au
Deval MehtaSenior Lecturer in Digital Health at RMIT | Adjunct at Monash | AAS EMCR'25 FellowVerified email at rmit.edu.au
Tom DrummondMelbourne Connect Chair, School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Peter CorkeQueensland University of Technology (QUT)Verified email at qut.edu.au
Conrad SandersonTechnology Research Unit / CSIROVerified email at uq.edu.au
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Gholamreza (Reza) HaffariMonash University and Openstream AIVerified email at monash.edu
Tien Yin WongTsinghua Medicine & Singapore National Eye CenterVerified email at nus.edu.sg

Zongyuan (Tony) Ge

Other namesTony Ge, Ge Zongyuan, 戈宗元

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

Verified email at monash.edu - Homepage

LLM Foundation Model Multi-Modal Medical AI Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Simple online and realtime tracking A Bewley, Z Ge, L Ott, F Ramos, B Upcroft IEEE International Conference on Image Processing, 2016	7031	2016
Deepfruits: A fruit detection system using deep neural networks I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool MDPI Sensors 16 (8), 1222, 2016	1434	2016
Generative OpenMax for Multi-Class Open Set Classification Z Ge, S Demyanov, Z Chen, R Garnavi BMVC 2017, 2017	690	2017
Mutual consistency learning for semi-supervised medical image segmentation Y Wu, Z Ge, D Zhang, M Xu, L Zhang, Y Xia, J Cai Medical image analysis 81, 102530, 2022	585	2022
Hierarchical Neural Architecture Search for Deep Stereo Matching X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge NeurIPS 2020, 2020	520	2020
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training Y Wu, M Xu, Z Ge, J Cai, L Zhang MICCAI 2021, 2021	503	2021
Robust early-learning: Hindering the memorization of noisy labels X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang ICLR 2020, 2020	479	2020
Exploring smoothness and class-separation for semi-supervised medical image segmentation Y Wu, Z Wu, Q Wu, Z Ge, J Cai MICCAI 2022, 34-43, 2022	441	2022
Skin lesion segmentation via generative adversarial networks with dual discriminators B Lei, Z Xia, F Jiang, X Jiang, Z Ge, Y Xu, J Qin, S Chen, T Wang, S Wang Medical Image Analysis 64, 101716, 2020	336	2020
Medical visual question answering: A survey Z Lin, D Zhang, Q Tao, D Shi, G Haffari, Q Wu, M He, Z Ge Artificial Intelligence in Medicine 143, 102611, 2023	324	2023
A multimodal vision foundation model for clinical dermatology S Yan, Z Yu, C Primiero, C Vico-Alonso, Z Wang, L Yang, P Tschandl, ... Nature Medicine 31 (8), 2691-2702, 2025	259	2025
Retinal age gap as a predictive biomarker for mortality risk Z Zhu, D Shi, P Guankai, Z Tan, X Shang, W Hu, H Liao, X Zhang, ... British Journal of Ophthalmology 107 (4), 547-554, 2023	229	2023
Hierarchically resistive skins as specific and multimetric on-throat wearable biosensors S Gong, X Zhang, XA Nguyen, Q Shi, F Lin, S Chauhan, Z Ge, W Cheng Nature Nanotechnology 18 (8), 889-897, 2023	224	2023
Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification Z Ge, Y Gu, CP Bonnington, J Zhou IEEE Journal of Biomedical and Health Informatics, 2019	212	2019
A Universal Artificial Intelligence Platform for Collaborative Management of Cataracts X Wu, Z Liu, W Lai, E Long, K Zhang, J Jiang, D Lin, K Chen, T Yu, D Wu, ... British Journal of Ophthalmology, 2019	205	2019
An interpretable prediction model for identifying N7-methylguanosine sites based on XGBoost and SHAP Y Bi, D Xiang, Z Ge*, F Li, C Jia, J Song Molecular Therapy-Nucleic Acids, 2020	201	2020
Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases L Dong, W He, R Zhang, Z Ge, YX Wang, J Zhou, J Xu, L Shao, Q Wang, ... JAMA Network 5 (5), e229960-e229960, 2022	196	2022
Skin disease recognition using deep saliency features and multimodal learning of dermoscopy and clinical images Z Ge, S Demyanov, R Chakravorty, A Bowling, R Garnavi (MICCAI 2017) International Conference on Medical Image Computing and …, 2017	196	2017
Zeronas: Differentiable generative adversarial networks search for zero-shot learning C Yan, X Chang, Z Li, W Guan, Z Ge, L Zhu, Q Zheng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	195	2021
Improving Medical Images Classification with Label Noise Using Dual-Uncertainty Estimation L Ju, X Wang, L Wang, D Mahapatra, X Zhao, Q Zhou, T Liu, Z Ge IEEE Transactions on Medical Imaging, 2022	188	2022

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