ZongYuan Ge

According to our database, ZongYuan Ge authored at least 137 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Hierarchical Knowledge Guided Learning for Real-World Retinal Disease Recognition.

Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge

IEEE Trans. Medical Imaging, January, 2024

Diversified and Personalized Multi-rater Medical Image Segmentation.

Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai

CoRR, 2024

EventRPG: Event Data Augmentation with Relevance Propagation Guidance.

Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu

CoRR, 2024

Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation.

Feilong Tang, Zhongxing Xu, Zhaojun Qu, Wei Feng, Xingjian Jiang, Zongyuan Ge

CoRR, 2024

Prompt-driven Latent Domain Generalization for Medical Image Classification.

Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Brigid Betz-Stablein, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge

CoRR, 2024

Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification.

Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge, Mauricio Reyes, Jean-Philippe Thiran

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automated segmentation of choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning.

Wei Feng, Meihan Duan, Bingjie Wang, Yu Du, Yiran Zhao, Bin Wang, Lin Zhao, Zongyuan Ge, Yuntao Hu

J. Big Data, December, 2023

Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study.

Li Dong, Lie Ju, Shiqi Hui, Lihua Luo, Xue Jiang, Zihan Nie, Ruiheng Zhang, Wenda Zhou, Heyan Li, Jost B. Jonas, Xin Wang, Xin Zhao, Chao He, Yuzhong Chen, Zhaohui Wang, Jianxiong Gao, Zongyuan Ge, Wenbin Wei, Dongmei Li

J. Big Data, December, 2023

Dual-branch cross-dimensional self-attention-based imputation model for multivariate time series.

Le Fang, Wei Xiang, Yuan Zhou, Juan Fang, Lianhua Chi, Zongyuan Ge

Knowl. Based Syst., November, 2023

Medical visual question answering: A survey.

Zhihong Lin, Donghao Zhang, Qingyi Tao, Danli Shi, Gholamreza Haffari, Qi Wu, Mingguang He, Zongyuan Ge

Artif. Intell. Medicine, September, 2023

Normal vibration distribution search-based differential evolution algorithm for multimodal biomedical image registration.

Peng Gui, Fazhi He, Bingo Wing-Kuen Ling, Dengyi Zhang, Zongyuan Ge

Neural Comput. Appl., August, 2023

Medical matting: Medical image segmentation with uncertainty from the matting perspective.

Lin Wang, Xiufen Ye, Lie Ju, Wanji He, Donghao Zhang, Xin Wang, Yelin Huang, Wei Feng, Kaimin Song, Zongyuan Ge

Comput. Biol. Medicine, May, 2023

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation.

Zhihong Lin, Donghao Zhang, Danli Shi, Renjing Xu, Qingyi Tao, Lin Wu, Mingguang He, Zongyuan Ge

J. Biomed. Informatics, February, 2023

Generative Metric Learning for Adversarially Robust Open-world Person Re-Identification.

Deyin Liu, Lin Wu, Richang Hong, Zongyuan Ge, Jialie Shen, Farid Boussaïd, Mohammed Bennamoun

ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Part to Whole: Collaborative Prompting for Surgical Instrument Segmentation.

Wenxi Yue, Jing Zhang, Kun Hu, Qiuxia Wu, Zongyuan Ge, Yong Xia, Jiebo Luo, Zhiyong Wang

CoRR, 2023

HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.

Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge

CoRR, 2023

Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis.

Deval Mehta, Brigid Betz-Stablein, Toàn D. Nguyên, Yaniv Gal, Adrian Bowling, Martin Haskett, Maithili Sashindranath, C. Paul Bonnington, Victoria Mar, H. Peter Soyer, Zongyuan Ge

CoRR, 2023

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.

Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge

CoRR, 2023

Ugly Ducklings or Swans: A Tiered Quadruplet Network with Patient-Specific Mining for Improved Skin Lesion Classification.

Nathasha Naranpanawa, H. Peter Soyer, Adam Mothershaw, Gayan K. Kulatilleke, Zongyuan Ge, Brigid Betz-Stablein, Shekhar S. Chandra

CoRR, 2023

LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition.

Peng Xia, Di Xu, Lie Ju, Ming Hu, Jun Chen, Zongyuan Ge

CoRR, 2023

TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge

CoRR, 2023

Towards Open-Scenario Semi-supervised Medical Image Classification.

Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, Zongyuan Ge

CoRR, 2023

EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.

Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatrainst, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge

CoRR, 2023

Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning.

Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge

IEEE Access, 2023

NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding.

Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification.

Litao Yang, Deval Mehta, Sidong Liu, Dwarikanath Mahapatra, Antonio Di Ieva, Zongyuan Ge

Proceedings of the Medical Imaging with Deep Learning, 2023

Deep Survival Analysis in Multiple Sclerosis.

Xin Zhang, Deval Mehta, Chao Zhu, Daniel Merlo, Yanan Hu, Melissa Gresle, David Darby, Anneke van der Walt, Helmut Butzkueven, Zongyuan Ge

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos.

Ruyi Zha, Xuelian Cheng, Hongdong Li, Mehrtash Harandi, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Retinal Age Estimation with Temporal Fundus Images Enhanced Progressive Label Distribution Learning.

Zhen Yu, Ruiye Chen, Peng Gui, Lie Ju, Xianwen Shang, Zhuoting Zhu, Mingguang He, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

EPVT: Environment-Aware Prompt Vision Transformer for Domain Generalization in Skin Lesion Recognition.

Siyuan Yan, Chi Liu, Zhen Yu, Lie Ju, Dwarikanath Mahapatra, Victoria Mar, Monika Janda, H. Peter Soyer, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Privacy-Preserving Early Detection of Epileptic Seizures in Videos.

Deval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence J. O'Brien, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification.

Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery.

Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering.

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Suspicious Naevi Classification Using Auxiliary Classifier Generative Adversarial Network.

Fatima Al Zegair, Chantal Rutjes, Brigid Betz-Stablein, Zongyuan Ge, H. Peter Soyer, Shekhar S. Chandra

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision.

Siyuan Yan, Zhen Yu, Xuelin Zhang, Dwarikanath Mahapatra, Shekhar S. Chandra, Monika Janda, H. Peter Soyer, Zongyuan Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Domain Adaptation for Medical Image Segmentation by Selective Entropy Constraints and Adaptive Semantic Alignment.

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Zhao, Zongyuan Ge

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Early Melanoma Diagnosis With Sequential Dermoscopic Images.

Zhen Yu, Jennifer Nguyen, Toàn D. Nguyên, John Kelly, Catriona A. McLean, C. Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge

IEEE Trans. Medical Imaging, 2022

Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps.

Dwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes

IEEE Trans. Medical Imaging, 2022

Improving Medical Images Classification With Label Noise Using Dual-Uncertainty Estimation.

Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Quan Zhou, Tongliang Liu, Zongyuan Ge

IEEE Trans. Medical Imaging, 2022

Pseudo-Pair Based Self-Similarity Learning for Unsupervised Person Re-Identification.

Lin Wu, Deyin Liu, Wenying Zhang, Dapeng Chen, Zongyuan Ge, Farid Boussaïd, Mohammed Bennamoun, Jialie Shen

IEEE Trans. Image Process., 2022

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning.

Lingling Zhang, Shaowei Wang, Xiaojun Chang, Jun Liu, Zongyuan Ge, Qinghua Zheng

IEEE Trans. Circuits Syst. Video Technol., 2022

Autonomous Incident Detection on Spectrometers Using Deep Convolutional Models.

Xuelin Zhang, Donghao Zhang, Alexander Leye, Adrian Scott, Luke Visser, Zongyuan Ge, C. Paul Bonnington

Sensors, 2022

Contextual ensemble network for semantic segmentation.

Quan Zhou, Xiaofu Wu, Suofei Zhang, Bin Kang, Zongyuan Ge, Longin Jan Latecki

Pattern Recognit., 2022

ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning.

Caixia Yan, Xiaojun Chang, Zhihui Li, Weili Guan, Zongyuan Ge, Lei Zhu, Qinghua Zheng

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mutual consistency learning for semi-supervised medical image segmentation.

Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai

Medical Image Anal., 2022

Multimorbidity Content-Based Medical Image Retrieval Using Proxies.

Yunyan Xing, Benjamin J. Meyer, Mehrtash Harandi, Tom Drummond, Zongyuan Ge

CoRR, 2022

3D Matting: A Soft Segmentation Method Applied in Computed Tomography.

Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge

CoRR, 2022

3D matting: A benchmark study on soft segmentation method for pulmonary nodules applied in computed tomography.

Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge

Comput. Biol. Medicine, 2022

ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning.

Xiaoyu Wang, Fuyi Li, Jing Xu, Jia Rong, Geoffrey I. Webb, Zongyuan Ge, Jian Li, Jiangning Song

Briefings Bioinform., 2022

RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins.

Xinxin Peng, Xiaoyu Wang, Yuming Guo, Zongyuan Ge, Fuyi Li, Xin Gao, Jiangning Song

Briefings Bioinform., 2022

MR Image Super Resolution By Combining Feature Disentanglement CNNs and Vision Transformers.

Dwarikanath Mahapatra, Zongyuan Ge

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings.

Zhen Yu, Toàn D. Nguyên, Yaniv Gal, Lie Ju, Shekhar S. Chandra, Lei Zhang, C. Paul Bonnington, Victoria Mar, Zhiyong Wang, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Leukocyte Classification Using Multimodal Architecture Enhanced by Knowledge Distillation.

Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation.

Yicheng Wu, Zhonghua Wu, Qianyi Wu, Zongyuan Ge, Jianfei Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Out-of-Distribution Detection for Long-Tailed and Fine-Grained Skin Lesion Images.

Deval Mehta, Yaniv Gal, Adrian Bowling, C. Paul Bonnington, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Camera Adaptation for Fundus-Image-Based CVD Risk Estimation.

Zhihong Lin, Danli Shi, Donghao Zhang, Xianwen Shang, Mingguang He, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Flexible Sampling for Long-Tailed Skin Lesion Classification.

Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, C. Paul Bonnington, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Domain Adaptive Fundus Image Segmentation with Category-Level Regularization.

Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep Laparoscopic Stereo Matching with Transformers.

Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zhiyong Wang, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

A Label Uncertainty-Guided Multi-Stream Model for Disease Screening.

Chi Liu, Zongyuan Ge, Mingguang He, Xiaotong Han

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Anomaly Detection In Retinal Images Using Multi-Scale Deep Feature Sparse Coding.

Sourya Dipta Das, Saikat Dutta, Nisarg A. Shah, Dwarikanath Mahapatra, Zongyuan Ge

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization.

Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Implicit Motion Handling for Video Camouflaged Object Detection.

Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Network Architecture for Open-Set Recognition.

Xuelin Zhang, Xuelian Cheng, Donghao Zhang, C. Paul Bonnington, Zongyuan Ge

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling.

Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Tom Drummond, Zongyuan Ge

IEEE Trans. Medical Imaging, 2021

Keyframe Extraction From Laparoscopic Videos via Diverse and Weighted Dictionary Selection.

Mingyang Ma, Shaohui Mei, Shuai Wan, Zhiyong Wang, Zongyuan Ge, Vincent Lam, Dagan Feng

IEEE J. Biomed. Health Informatics, 2021

Synergic Adversarial Label Learning for Grading Retinal Diseases via Knowledge Distillation and Multi-Task Learning.

Lie Ju, Xin Wang, Xin Zhao, Huimin Lu, Dwarikanath Mahapatra, C. Paul Bonnington, Zongyuan Ge

IEEE J. Biomed. Health Informatics, 2021

One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting.

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Incremental learning for exudate and hemorrhage segmentation on fundus images.

Wanji He, Xin Wang, Lin Wang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Lie Ju, Liao Wu, Lin Wu, Huimin Lu, Zongyuan Ge

Inf. Fusion, 2021

Long-Tailed Multi-Label Retinal Diseases Recognition Using Hierarchical Information and Hybrid Knowledge Distillation.

Lie Ju, Xin Wang, Zhen Yu, Lin Wang, Xin Zhao, Zongyuan Ge

CoRR, 2021

Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks.

Zongyuan Ge, Xin Wang

CoRR, 2021

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.

Yicheng Wu, Zongyuan Ge, Donghao Zhang, Minfeng Xu, Lei Zhang, Yong Xia, Jianfei Cai

CoRR, 2021

Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization.

Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, Zongyuan Ge

CoRR, 2021

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation.

Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, Zongyuan Ge

CoRR, 2021

OCTID: a one-class learning-based Python package for tumor image detection.

Yanan Wang, Litao Yang, Geoffrey I. Webb, Zongyuan Ge, Jiangning Song

Bioinform., 2021

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.

Fuyi Li, Jinxiang Chen, Zongyuan Ge, Ya Wen, Yanwei Yue, Morihiro Hayashida, Abdelkader Baggag, Halima Bensmail, Jiangning Song

Briefings Bioinform., 2021

End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers.

Zhen Yu, Victoria Mar, Anders Eriksson, Shakes Chandra, C. Paul Bonnington, Lei Zhang, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training.

Yicheng Wu, Minfeng Xu, Zongyuan Ge, Jianfei Cai, Lei Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Medical Matting: A New Perspective on Medical Segmentation with Uncertainty.

Lin Wang, Lie Ju, Donghao Zhang, Xin Wang, Wanji He, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Continual Domain Incremental Learning for Chest X-Ray Classification in Low-Resource Clinical Settings.

Shikhar Srivastava, Mohammad Yaqub, Karthik Nandakumar, Zongyuan Ge, Dwarikanath Mahapatra

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation.

Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading.

Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

Relational Subsets Knowledge Distillation for Long-Tailed Retinal Diseases Recognition.

Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Retrospective Class Incremental Learning.

Qingyi Tao, Chen Change Loy, Jianfei Cai, ZongYuan Ge, Simon See

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Robust early-learning: Hindering the memorization of noisy labels.

Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang

Proceedings of the 9th International Conference on Learning Representations, 2021

Medical Image Classification Using Generalized Zero Shot Learning.

Dwarikanath Mahapatra, Behzad Bozorgtabar, Zongyuan Ge

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Vision-Language Navigation with Random Environmental Mixup.

Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.

Yanyang Gu, Zongyuan Ge, C. Paul Bonnington, Jun Zhou

IEEE J. Biomed. Health Informatics, 2020

Training data independent image registration using generative adversarial networks and domain adaptation.

Dwarikanath Mahapatra, Zongyuan Ge

Pattern Recognit., 2020

Improving multi-label chest X-ray disease diagnosis by exploiting disease and health labels dependencies.

Zongyuan Ge, Dwarikanath Mahapatra, Xiaojun Chang, Zetao Chen, Lianhua Chi, Huimin Lu

Multim. Tools Appl., 2020

Skin lesion segmentation via generative adversarial networks with dual discriminators.

Baiying Lei, Zaimin Xia, Feng Jiang, Xudong Jiang, Zongyuan Ge, Yanwu Xu, Jie Du, Siping Chen, Tianfu Wang, Shuqiang Wang

Medical Image Anal., 2020

Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images.

Zhen Yu, Jennifer Nguyen, Xiaojun Chang, John Kelly, Catriona A. McLean, Lei Zhang, Victoria Mar, Zongyuan Ge

CoRR, 2020

Synergic Adversarial Label Learning with DR and AMD for Retinal Image Grading.

Lie Ju, Xin Wang, Xin Zhao, C. Paul Bonnington, Zongyuan Ge

CoRR, 2020

Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation.

Lie Ju, Xin Wang, Quan Zhou, Hu Zhu, Mehrtash Harandi, C. Paul Bonnington, Tom Drummond, Zongyuan Ge

CoRR, 2020

PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.

Yanju Zhang, Sha Yu, Ruopeng Xie, Jiahui Li, André Leier, Tatiana T. Marquez-Lago, Tatsuya Akutsu, Alexander Ian Smith, Zongyuan Ge, Jiawei Wang, Trevor Lithgow, Jiangning Song

Bioinform., 2020

Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement.

Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hierarchical Neural Architecture Search for Deep Stereo Matching.

Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, Zongyuan Ge

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Improve Unseen Domain Generalization via Enhanced Local Color Transformation.

Jianhao Xiong, Andre Wang He, Meng Fu, Xinyue Hu, Yifan Zhang, Congxin Liu, Xin Zhao, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Registration of Histopathology Images Using Self Supervised Fine Grained Feature Maps.

James Tong, Dwarikanath Mahapatra, C. Paul Bonnington, Tom Drummond, Zongyuan Ge

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning.

Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ZSTAD: Zero-Shot Temporal Activity Detection.

Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study.

Yu Liu, Shobi Sivathamboo, Peter Goodin, C. Paul Bonnington, Patrick Kwan, Levin Kuhlmann, Terence J. O'Brien, Piero Perucca, Zongyuan Ge

Proceedings of the Australasian Computer Science Week, 2020

Geometry-Constrained Car Recognition Using a 3D Perspective Network.

Rui Zeng, Zongyuan Ge, Simon Denman, Sridha Sridharan, Clinton Fookes

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Knowledge driven temporal activity localization.

Changlin Li, Zhihui Li, Zongyuan Ge, Mingjie Li

J. Vis. Commun. Image Represent., 2019

Adversarial discriminative sim-to-real transfer of visuo-motor policies.

Fangyi Zhang, Jürgen Leitner, Zongyuan Ge, Michael Milford, Peter Corke

Int. J. Robotics Res., 2019

Combining Transfer Learning And Segmentation Information with GANs for Training Data Independent Image Registration.

Dwarikanath Mahapatra, Zongyuan Ge

CoRR, 2019

Underwater Image High Definition Display Using the Multilayer Perceptron and Color Feature-Based SRCNN.

Yujie Li, Chunyan Ma, Tingting Zhang, Jianru Li, Zongyuan Ge, Yun Li, Seiichi Serikawa

IEEE Access, 2019

Adversarial Pulmonary Pathology Translation for Pairwise Chest X-Ray Data Augmentation.

Yunyan Xing, Zongyuan Ge, Rui Zeng, Dwarikanath Mahapatra, Jarrel Seah, Meng Law, Tom Drummond

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Retinal Abnormalities Recognition Using Regional Multitask Learning.

Xin Wang, Lie Ju, Xin Zhao, Zongyuan Ge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention.

Qingyi Tao, Zongyuan Ge, Jianfei Cai, Jianxiong Yin, Simon See

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information.

Dwarikanath Mahapatra, Zongyuan Ge

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks.

David Jakes, Zongyuan Ge, Liao Wu

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Learning Context Flexible Attention Model for Long-Term Visual Place Recognition.

Zetao Chen, Lingqiao Liu, Inkyu Sa, Zongyuan Ge, Margarita Chli

IEEE Robotics Autom. Lett., 2018

FDCNet: filtering deep convolutional network for marine organism classification.

Huimin Lu, Yujie Li, Tomoki Uemura, Zongyuan Ge, Xing Xu, Li He, Seiichi Serikawa, Hyoungseop Kim

Multim. Tools Appl., 2018

Editorial: Artificial Intelligence for Mobile Robotic Networks.

Huimin Lu, Li He, Quan Zhou, Zongyuan Ge

Mob. Networks Appl., 2018

Structured deep hashing with convolutional neural networks for fast person re-identification.

Lin Wu, Yang Wang, Zongyuan Ge, Qichang Hu, Xue Li

Comput. Vis. Image Underst., 2018

Chest X-rays Classification: A Multi-Label and Fine-Grained Problem.

Zongyuan Ge, Dwarikanath Mahapatra, Suman Sedai, Rahil Garnavi, Rajib Chakravorty

CoRR, 2018

Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images.

Suman Sedai, Dwarikanath Mahapatra, Zongyuan Ge, Rajib Chakravorty, Rahil Garnavi

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks.

Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

Generative OpenMax for Multi-Class Open Set Classification.

ZongYuan Ge, Sergey Demyanov, Zetao Chen, Rahil Garnavi

CoRR, 2017

Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images.

Zongyuan Ge, Sergey Demyanov, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Exploiting local and generic features for accurate skin lesions classification using clinical and dermoscopy imaging.

Zongyuan Ge, Sergey Demyanov, Behzad Bozorgtabar, Mani Abedini, Rajib Chakravorty, Adrian Bowling, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Tree-loss function for training neural networks on weakly-labelled datasets.

Sergey Demyanov, Rajib Chakravorty, Zongyuan Ge, SeyedBehzad Bozorgtabar, Michelle Pablo, Adrian Bowling, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Investigating deep side layers for skin lesion segmentation.

Behzad Bozorgtabar, Zongyuan Ge, Rajib Chakravorty, Mani Abedini, Sergey Demyanov, Rahil Garnavi

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Generative OpenMax for Multi-Class Open Set Classification.

Zongyuan Ge, Sergey Demyanov, Rahil Garnavi

Proceedings of the British Machine Vision Conference 2017, 2017

2016

DeepFruits: A Fruit Detection System Using Deep Neural Networks.

Inkyu Sa, ZongYuan Ge, Feras Dayoub, Ben Upcroft, Tristan Perez, Chris McCool

Sensors, 2016

Fine-grained classification via mixture of deep convolutional neural networks.

ZongYuan Ge, Alex Bewley, Christopher McCool, Peter I. Corke, Ben Upcroft, Conrad Sanderson

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Simple online and realtime tracking.

Alex Bewley, ZongYuan Ge, Lionel Ott, Fabio Tozeto Ramos, Ben Upcroft

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification.

ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Feature Learning via Mixtures of DCNNs for Fine-Grained Plant Classification.

Chris McCool, ZongYuan Ge, Peter I. Corke

Proceedings of the Working Notes of CLEF 2016, 2016

2015

Distance metric learning for feature-agnostic place recognition.

Zetao Chen, Stephanie M. Lowry, Adam Jacobson, ZongYuan Ge, Michael Milford

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Modelling local deep convolutional neural network features to improve fine-grained image classification.

ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Fine-grained bird species recognition via hierarchical subset learning.

ZongYuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Subset feature learning for fine-grained category classification.

ZongYuan Ge, Christopher McCool, Conrad Sanderson, Peter I. Corke

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Content Specific Feature Learning for Fine-Grained Plant Classification.

ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Local inter-session variability modelling for object classification.

Kaneswaran Anantharajah, ZongYuan Ge, Chris McCool, Simon Denman, Clinton Fookes, Peter Corke, Dian Tjondronegoro, Sridha Sridharan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014