Hao Zheng

According to our database, Hao Zheng authored at least 36 papers between 2018 and 2024.

Collaborative distances:

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

2024

Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis.

Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng

Int. J. Comput. Vis., November, 2024

Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis.

Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu

Pattern Recognit., 2024

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation.

Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu

CoRR, 2024

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation.

Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

CoRR, 2024

Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation.

Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation.

Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification.

Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MoME: Mixture of Multimodal Experts for Cancer Survival Prediction.

Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets.

Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification.

Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng

Proceedings of the IEEE International Conference on Acoustics, 2024

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models.

Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Generalized Medical Image Segmentation from Decoupled Feature Queries.

Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng

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

2023

Multi-site, Multi-domain Airway Tree Modeling.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

Medical Image Anal., December, 2023

Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network.

Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov

J. Ambient Intell. Humaniz. Comput., December, 2023

Continuous cross-modal hashing.

Hao Zheng, Jinbao Wang, Xiantong Zhen, Jingkuan Song, Feng Zheng, Ke Lu, Guo-Jun Qi

Pattern Recognit., October, 2023

Dive into the details of self-supervised learning for medical image analysis.

Chuyan Zhang, Hao Zheng, Yun Gu

Medical Image Anal., October, 2023

S³R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites.

Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu

IEEE Trans. Medical Imaging, September, 2023

TNN: Tree Neural Network for Airway Anatomical Labeling.

Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2023

Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG.

Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang

CoRR, 2023

CageViT: Convolutional Activation Guided Efficient Vision Transformer.

Hao Zheng, Jinbao Wang, Xiantong Zhen, Hong Chen, Jingkuan Song, Feng Zheng

CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

CoRR, 2023

AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling.

Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang

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

2022

Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding.

Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang

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

2021

Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation.

Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2021

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.

Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2021

Refined Local-imbalance-based Weight for Airway Segmentation in CT.

Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang

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

Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence.

Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations.

Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang

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

Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation.

Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu

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

AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion.

Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.

Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2019

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks.

Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang

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

2018

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks.

Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang

CoRR, 2018

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection.

Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI.

Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs.

Yulei Qin, Hao Zheng, Yue-Min Zhu, Jie Yang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018