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ORCIDHao Zheng 0008
Person information
- affiliation: Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Institute of Medical Robotics, China
Other persons with the same name
- Hao Zheng — disambiguation page
- Hao Zheng 0001
![[0000-0002-8627-0591]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8627-0591")
(aka: Hank Jayne) — University of South Florida, Tampa, FL, USA (and 1 more) - Hao Zheng 0002 — Georgia Institute of Technology, Atlanta, GA, USA
- Hao Zheng 0003 — Google (and 1 more)
- Hao Zheng 0004 — Xi'an Jiaotong University, School of Electronics and Information Engineering, China
- Hao Zheng 0005 — University of Central Florida, Department of Electrical and Computer Engineering, Orlando, FL, USA (and 1 more)
- Hao Zheng 0006 — University of Louisiana at Lafayette, LA, USA (and 2 more)
- Hao Zheng 0007 — Xidian University, National Laboratory of Radar Signal Processing, China (and 1 more)
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Journal Articles
- 2024
[j9]Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu:
Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis. Pattern Recognit. 153: 110528 (2024)- 2023
- [j8]Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov:
Accurate breast lesion segmentation by exploiting spatio-temporal information with deep recurrent and convolutional network. J. Ambient Intell. Humaniz. Comput. 14(12): 15609-15617 (2023) - [j7]Chuyan Zhang, Hao Zheng, Yun Gu:
Dive into the details of self-supervised learning for medical image analysis. Medical Image Anal. 89: 102879 (2023) - [j6]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:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [j5]Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
TNN: Tree Neural Network for Airway Anatomical Labeling. IEEE Trans. Medical Imaging 42(1): 103-118 (2023) - [j4]Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu:
S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Trans. Medical Imaging 42(9): 2539-2551 (2023) - 2021
- [j3]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging 40(6): 1603-1617 (2021) - [j2]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. IEEE Trans. Medical Imaging 40(9): 2452-2462 (2021) - 2019
- [j1]Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(11): 2569-2581 (2019)
Conference and Workshop Papers
- 2024
- [c16]Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. AAAI 2024: 810-818 - [c15]Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng:
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. CVPR 2024: 28181-28190 - [c14]Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. ICASSP 2024: 1781-1785 - [c13]Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang:
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. MICCAI (9) 2024: 372-382 - [c12]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang:
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. MICCAI (10) 2024: 438-448 - 2023
- [c11]Weihao Yu, Hao Zheng, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang:
AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling. MICCAI (7) 2023: 393-402 - 2022
- [c10]Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang:
Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding. ISBI 2022: 1-5 - 2021
- [c9]Zhiqiang Xie, Enmei Tu, Hao Zheng, Yun Gu, Jie Yang:
Semi-Supervised Skin Lesion Segmentation with Learning Model Confidence. ICASSP 2021: 1135-1139 - [c8]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang:
Refined Local-imbalance-based Weight for Airway Segmentation in CT. MICCAI (1) 2021: 410-419 - 2020
- [c7]Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu:
AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion. ISBI 2020: 809-813 - [c6]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu:
Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) 2020: 221-231 - [c5]Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang:
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. MICCAI (4) 2020: 450-459 - 2019
- [c4]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. MICCAI (6) 2019: 212-220 - 2018
- [c3]Yulei Qin, Hao Zheng, Yue-Min Zhu, Jie Yang:
Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs. ICASSP 2018: 1005-1009 - [c2]Mingjian Chen, Hao Zheng, Changsheng Lu, Enmei Tu, Jie Yang, Nikola K. Kasabov:
A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI. ICONIP (7) 2018: 358-368 - [c1]Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. MICCAI (2) 2018: 876-884
Informal and Other Publications
- 2024
- [i9]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - [i8]Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation. CoRR abs/2407.18568 (2024) - 2023
- [i7]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:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i6]Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang:
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG. CoRR abs/2307.13209 (2023) - 2022
- [i5]Weihao Yu, Hao Zheng, Minghui Zhang, Hanxiao Zhang, Jiayuan Sun, Jie Yang:
BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding. CoRR abs/2202.00002 (2022) - 2020
- [i4]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation. CoRR abs/2011.11952 (2020) - [i3]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. CoRR abs/2012.05767 (2020) - 2019
- [i2]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. CoRR abs/1907.06852 (2019) - 2018
- [i1]Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. CoRR abs/1810.05943 (2018)
Coauthor Index
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