Zongyuan (Tony) Ge

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Lie JuMonash University; University College London; Moorfields Eye HospitalVerificeret mail på monash.edu
Mingguang HeThe Hong Kong Polytechnic UniversityVerificeret mail på polyu.edu.hk
Zhen YuCentral Clinical School, Monash UniversityVerificeret mail på monash.edu
Chris McCoolProfessor, University of BonnVerificeret mail på uni-bonn.de
Rahil GarnaviProfessor, Director, RAIsE Hub, The Royal Melbourne Institute of Technology (RMIT)Verificeret mail på rmit.edu.au
Tom DrummondMelbourne Connect Chair, School of Computing and Information Systems, University of MelbourneVerificeret mail på unimelb.edu.au
Alex BewleyGoogle DeepMindVerificeret mail på google.com
Victoria MarMonash UniversityVerificeret mail på monash.edu
Peter CorkeQueensland University of Technology (QUT)Verificeret mail på qut.edu.au
Xuelian ChengMonash UniversityVerificeret mail på monash.edu
Wei FengMonash UniversityVerificeret mail på monash.edu
Patrick KwanMonash Institute of Medical Engineering, Monash University, Melbourne, AustraliaVerificeret mail på monash.edu
Conrad SandersonData61 / CSIROVerificeret mail på uq.edu.au
Deval MehtaMonash UniversityVerificeret mail på monash.edu
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerificeret mail på qut.edu.au
Gholamreza (Reza) HaffariMonash University and Openstream AIVerificeret mail på monash.edu
Dwarikanath MahapatraPrincipal Scientist

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Zongyuan (Tony) Ge

Andre navneTony Ge, Ge Zongyuan, 戈宗元

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

Verificeret mail på monash.edu - Startside

LLM Foundation Model Multi-Modal Medical AI Robotics


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Simple online and realtime tracking A Bewley, Z Ge, L Ott, F Ramos, B Upcroft IEEE International Conference on Image Processing, 2016	4630	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	1169	2016
Generative OpenMax for Multi-Class Open Set Classification Z Ge, S Demyanov, Z Chen, R Garnavi BMVC 2017, 2017	515	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 NeurIPS 2020, 2020	388	2020
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	327	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	260	2020
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training Y Wu, M Xu, Z Ge, J Cai, L Zhang MICCAI 2021, 2021	258	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	252	2022
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	169	2022
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	164	2021
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	161	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	151	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	147	2020
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	138	2019
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	133	2018
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	114	2023
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	114	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	107	2022
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	96	2023
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	95	2018

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