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Zongyuan (Tony) Ge
Zongyuan (Tony) Ge
Other namesTony Ge, Ge Zongyuan, 戈宗元
Associate Prof | Director of AIM for Health Lab | NVIDIA AI Fellowship
Verified email at monash.edu - Homepage
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
44122016
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
11542016
Generative OpenMax for Multi-Class Open Set Classification
Z Ge, S Demyanov, Z Chen, R Garnavi
BMVC 2017, 2017
4942017
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
3802020
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
3102020
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
2492020
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Y Wu, M Xu, Z Ge, J Cai, L Zhang
MICCAI 2021, 2021
2182021
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
2132022
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
1562021
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
1522017
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
1512019
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
1422020
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
1352019
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
1322022
Learning context flexible attention model for long-term visual place recognition
Z Chen, L Liu, I Sa, Z Ge, M Chli
IEEE Robotics and Automation Letters 3 (4), 4015-4022, 2018
1272018
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
1062021
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
1022022
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
952023
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
932023
FDCNet: filtering deep convolutional network for marine organism classification
H Lu, Y Li, T Uemura, Z Ge, X Xu, L He, S Serikawa, H Kim
Multimedia tools and applications 77, 21847-21860, 2018
912018
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