Zongyuan (Tony) Ge
Zongyuan (Tony) Ge
Altri nomiTony Ge, Ge Zongyuan, 戈宗元
Associate Professor | Director of AIM for Health Lab | Head of Monash Medical AI | NVIDIA AI Fellow
Email verificata su - Home page
Citata da
Citata da
Simple online and realtime tracking
A Bewley, Z Ge, L Ott, F Ramos, B Upcroft
2016 IEEE international conference on image processing (ICIP), 3464-3468, 2016
Deepfruits: A fruit detection system using deep neural networks
I Sa, Z Ge, F Dayoub, B Upcroft, T Perez, C McCool
sensors 16 (8), 1222, 2016
Generative OpenMax for Multi-Class Open Set Classification
Z Ge, S Demyanov, Z Chen, R Garnavi
The British Machine Vision Conference (BMVC 2017), 2017
Hierarchical Neural Architecture Search for Deep Stereo Matching
X Cheng, Y Zhong, M Harandi, Y Dai, X Chang, H Li, T Drummond, Z Ge
Advances in Neural Information Processing Systems (NeurIPS) 33, 2020
Robust early-learning: Hindering the memorization of noisy labels
X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang
International Conference on Learning Representations (ICLR), 2020
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
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Y Wu, M Xu, Z Ge, J Cai, L Zhang
International Conference on Medical Image Computing and Computer-Assistedá…, 2021
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
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
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 andá…, 2017
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
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
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
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
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
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
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
Sim-to-real transfer of visuo-motor policies for reaching in clutter: Domain randomization and adaptation with modular networks
F Zhang, J Leitner, Z Ge, M Milford, P Corke
The International Journal of Robotics Research (IJRR) 7 (8), 2017
Vision-language navigation with random environmental mixup
C Liu, F Zhu, X Chang, X Liang, Z Ge, YD Shen
Proceedings of the IEEE/CVF International Conference on Computer Visioná…, 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
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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