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ORCIDHe Zhao 0002
Person information
- affiliation (PhD 2020): Beijing Institute of Technology, Beijing, China
- affiliation (2019): Tencent, Shenzhen, China
Other persons with the same name
- He Zhao — disambiguation page
- He Zhao 0001
![[0000-0003-0894-2265]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0894-2265")
(aka: Ethan Zhao 0001) — Monash University, Faculty of Information Technology, Melbourne, Australia - He Zhao 0003 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- He Zhao 0004 — York University, Department of Electrical Engineering and Computer Science, Toronto, Canada
- He Zhao 0005 — China National Institute of Standardization, Beijing, China
- He Zhao 0006 — Peking University, School of EECS, Key Laboratory of Machine Perception, Beijing, China
- He Zhao 0007 — University of Waterloo, Department of Geography and Environmental Management, Waterloo, Canada
- He Zhao 0008 — Nanjing University, School of Electronic Science and Engineering, Nanjing, China
- He Zhao 0009 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China
- He Zhao 0010 — Jilin Agricultural Science and Technology University, Jilin, China
- He Zhao 0011 — Chinese Academy of Sciences, Hefei Institutes of Physical Science, Hefei, China
- He Zhao 0012 — MathWorks, Inc., Natick, MA, USA (and 1 more)
- He Zhao 0013 — Northeastern University, College of Information Science and Engineering, Shenyang, China
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2020 – today
- 2024
[j15]Bingyu Yang, Lvchen Cao, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang:
Adaptive enhancement of cataractous retinal images for contrast standardization. Medical Biol. Eng. Comput. 62(2): 357-369 (2024)- [j14]Shuai Lu, Weihang Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li:
Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder. IEEE Trans. Image Process. 33: 2770-2782 (2024) - 2023
- [j13]Yun Sun, Yu Li, Fengju Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li:
A deep network using coarse clinical prior for myopic maculopathy grading. Comput. Biol. Medicine 154: 106556 (2023) - [j12]Mengxuan Li, Weihang Zhang, Ruixiao Yang, Jie Xu, He Zhao, Huiqi Li:
Semi-supervised peripapillary atrophy segmentation with shape constraint. Comput. Biol. Medicine 166: 107464 (2023) - [j11]Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang:
PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation. Neurocomputing 538: 126183 (2023) - [j10]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound. Medical Image Anal. 90: 102977 (2023) - [j9]Bingyu Yang, He Zhao, Lvchen Cao, Hanruo Liu, Ningli Wang, Huiqi Li:
Retinal image enhancement with artifact reduction and structure retention. Pattern Recognit. 133: 108968 (2023) - [j8]Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans. IEEE Trans. Medical Imaging 42(5): 1301-1313 (2023) - [c11]Qianhui Men, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption. ISBI 2023: 1-5 - [c10]Robail Yasrab, Mohammad Alsharid, Md. Mostafa Kamal Sarker, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans. ISBI 2023: 1-5 - [c9]He Zhao, Qianhui Men, Alexander D. Gleed, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Video Segmentation with Adaptive Temporal Memory. ASMUS@MICCAI 2023: 3-12 - [c8]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos. MICCAI (1) 2023: 216-226 - [i2]Divyanshu Mishra, He Zhao, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble:
Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos. CoRR abs/2311.00469 (2023) - 2022
- [c7]Mengxuan Li, He Zhao, Jie Xu, Huiqi Li:
Peripapillary Atrophy Segmentation Based on ASM Loss. ISBI 2022: 1-4 - [c6]Elizaveta Savochkina, Lok Hin Lee, He Zhao, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation. ISBI 2022: 1-4 - [c5]Shengzhu Yang, Xi Zhang, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang:
AMD Classification Based on Adversarial Domain Adaptation with Center Loss. ISBI 2022: 1-5 - [c4]Robail Yasrab, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T. Papageorghiou, J. Alison Noble:
End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation. ISBI 2022: 1-5 - [c3]He Zhao, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data. MICCAI (4) 2022: 228-237 - 2021
- [j7]He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng:
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. IEEE Trans. Medical Imaging 40(12): 3641-3651 (2021) - [j6]He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng:
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 535-545 (2021) - [c2]Mengxuan Li, He Zhao, Jie Xu, Huiqi Li:
Peripapillary Atrophy Segmentation with Boundary Guidance. OMIA@MICCAI 2021: 101-108 - 2020
- [j5]He Zhao, Yun Sun, Huiqi Li:
Retinal vascular junction detection and classification via deep neural networks. Comput. Methods Programs Biomed. 183 (2020) - [j4]He Zhao, Huiqi Li, Li Cheng:
Improving retinal vessel segmentation with joint local loss by matting. Pattern Recognit. 98 (2020)
2010 – 2019
- 2019
- [j3]He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng:
Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis. IEEE Trans. Medical Imaging 38(1): 46-56 (2019) - [c1]He Zhao, Bingyu Yang, Lvchen Cao, Huiqi Li:
Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks. MICCAI (1) 2019: 75-83 - 2018
- [j2]He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Li Cheng:
Synthesizing retinal and neuronal images with generative adversarial nets. Medical Image Anal. 49: 14-26 (2018) - 2017
- [j1]Lin Gu, Xiaowei Zhang, He Zhao, Huiqi Li, Li Cheng:
Segment 2D and 3D Filaments by Learning Structured and Contextual Features. IEEE Trans. Medical Imaging 36(2): 596-606 (2017) - [i1]He Zhao, Huiqi Li, Li Cheng:
Synthesizing Filamentary Structured Images with GANs. CoRR abs/1706.02185 (2017)
Coauthor Index
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