He ZHAO Lecturer Department of Eye and Vision Science Institute of Life Course and Medical Sciences University of Liverpool Office: Rm 278, William Henry Duncan Building Email:

Research Interest

• My research is at the interdisciplinary field of medical image analysis and artificial intelligence, aiming to develop machine learning tools to address real-world clinical problems with trustworthy AI models. Previous works focus on data-efficient machine learning algorithm development, such as self-supervised learning, domain adaptation, generative models, with the medical applications of retinal images and fetal ultrasound videos.
• Recent focus:
  • Multimodal AI for healthcare data
  • Explainable and robust machine learning
  • Prognosis and treatment response
• Key words: Medical image analysis, multimodal learning, feature representation learning, trustworthy decision making.

News

• [12/2024] One paper is accepted by AAAI-AISI.
• [06/2024] Three papers are accepted by MICCAI.
• [05/2024] Awarded Travel Fund from ILCaMS
• [04/2024] Awarded ILCaMS Sandpit Research Funding as PI.
• [02/2024] Awarded UK-rate full PhD studentship as PI.

Publications (Show Selected / Full List / Book Chapters)

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder
Shuai Lu, Weihang Zhang, He Zhao*, Hanruo Liu, Ningli Wang, Huiqi Li.
IEEE Transactions on Image Processing (TIP), 2024.
[PDF]

Memory-based Unsupervised Video Clinical Quality Assessment with Multi-modality Data in Fetal Ultrasound
He Zhao*, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris Papageorghiou, Alison Noble.
Medical Image Analysis (MedIA), 2023.
[PDF]

Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos
Divyanshu Mishra, He Zhao, Pramit Saha, Aris Papageorghiou, Alison Noble.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
[PDF]

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality data
He Zhao*, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris Papageorghiou, Alison Noble.
Medical Image Computing and Computer-Assisted Intervention(MICCAI), 2022.
[PDF]

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features
He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng.
IEEE Transactions on Medical Imaging (TMI), 2021.
[PDF]

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification
He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
[PDF]

Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks
He Zhao, Bingyu Yang, Lvchen Cao, Huiqi Li.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
[PDF] [Poster]

Supervised Segmentation of Un-AnnotatedRetinal Fundus Images by Synthesis
He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng.
IEEE Transactions on Medical Imaging (TMI), 2019.
[PDF] [Project]

Synthesizing Retinal and Neuronal Images with Generative Adversarial Nets
He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Li Cheng.
Medical Image Analysis (MedIA), 2018.
[PDF] [Project]

Segment 2D and 3D Filaments by Learning Structured and Contextual Features
Lin Gu, Xiaowei Zhang, He Zhao, Huiqi Li, Li Cheng.
IEEE Transactions on Medical Imaging (TMI), 2017.
[PDF]

2024 (4)

Automating the Human Action of First-Trimester Biometry Measurement from Real-World Freehand Ultrasound
Robail Yasrab, He Zhao, Zeyu Fu, Lior Drukker, Aris Papageorghiou, Alison Noble.
Ultrasound in Medicine & Biology, 2024.
[PDF]

A Spatiotemporal Convolution Recurrent Neural Network for Pixel-level Peripapillary Atrophy Prediction Using Sequential Fundus Images
Mengxuan Li, Weihang Zhang, He Zhao, Yubin Xu, Jie Xu, Huiqi Li.
Applied Soft Computing, 2024.
[PDF]

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder
Shuai Lu, Weihang Zhang, He Zhao*, Hanruo Liu, Ningli Wang, Huiqi Li.
IEEE Transactions on Image Processing (TIP), 2024.
[PDF]

Adaptive Enhancement of Cataractous Retinal Images for Contrast Standardization
Bingyu Yang, Lvchen Cao, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang.
Medical & Biological Engineering & Computing, 2024.
[PDF]

2023 (9)

Memory-based Unsupervised Video Clinical Quality Assessment with Multi-modality Data in Fetal Ultrasound
He Zhao*, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris Papageorghiou, Alison Noble.
Medical Image Analysis (MedIA), 2023.
[PDF]

Semi-supervised Peripapillary Atrophy Segmentation with Shape Constraint
Mengxuan Li, Weihang Zhang, Ruixiao Yang, Jie Xu, He Zhao*, Huiqi Li.
Computers in Biology and Medicine, 2023.
[PDF]

Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos
Divyanshu Mishra, He Zhao, Pramit Saha, Aris Papageorghiou, Alison Noble.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
[PDF]

Ultrasound Video Segmentation with Adaptive Temporal Memory
He Zhao, Qianhui Men, Alexander Gleed, Aris Papageorghiou, Alison Noble.
International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS), 2023.
[PDF] [Slides]

PKRT-Net: Prior Knowledge-based Relation Transformer Network for Optic Cup and Disc Segmentation
Shuai Lu, He Zhao, Hanruo Liu, Huiqi Li, Ningli Wang.
Neurocomputing, 2023.
[PDF]

Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans
Robail Yasrab, Mohammad Alsharid, Md Mostafa Kamal Sarker, He Zhao, Aris Papageorghiou, Alison Noble.
IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
[PDF]

Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption
Qianhui Men, He Zhao, Lior Drukker, Aris Papageorghiou, Alison Noble.
IEEE International Symposium on Biomedical Imaging (ISBI), 2023.
[PDF]

A Deep Network Using Coarse Clinical Prior for Myopic Maculopathy Grading
Yun Sun, Yu Li, Fengju Zhang, He Zhao, Hanruo Liu, Ningli Wang, Huiqi Li.
Computers in Biology and Medicine, 2023.
[PDF]

Retinal Image Enhancement with Artifact Reduction and Structure Retention
Bingyu Yang, He Zhao*, Lvchen Cao, Hanruo Liu, Ningli Wang, Huiqi Li.
Pattern Recognition, 2023.
[PDF]

2022 (7)

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans
Robail Yasrab, Zeyu Fu, He Zhao, Lok Hin Lee, Harshita Sharma, Lior Drukker, Aris T Papageorgiou, Alison Noble.
IEEE Transactions on Medical Imaging, 2022.
[PDF]

Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality data
He Zhao*, Qingqing Zheng, Clare Teng, Robail Yasrab, Lior Drukker, Aris Papageorghiou, Alison Noble.
Medical Image Computing and Computer-Assisted Intervention(MICCAI), 2022.
[PDF] [Poster]

MSRT: Multi-scale Spatial Regularization Transformer for Multi-label Classification in Calcaneus Radiograph
Yuxuan Mu, He Zhao, Jia Guo, Huiqi Li.
IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
[PDF]

End-to-end First Trimester Fetal Ultrasound Video Automated CRL and NT Segmentation
Robail Yasrab, Zeyu Fu, Lior Drukker, Lok Hin Lee, He Zhao, Aris T Papageorghiou, J Alison Noble.
IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
[PDF]

First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation
Elizaveta Savochkina, Lok Hin Lee, He Zhao, Lior Drukker, Aris T Papageorghiou, J Alison Noble.
IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
[PDF]

AMD Classification Based on Adversarial Domain Adaptation with Center Loss
Shengzhu Yang, Xi Zhang, He Zhao, Huiqi Li, Hanruo Liu, Ningli Wang.
IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
[PDF]

Peripapillary Atrophy Segmentation Based on ASM Loss
Mengxuan Li, He Zhao, Jie Xu, Huiqi Li.
IEEE International Symposium on Biomedical Imaging (ISBI), 2022.
[PDF]

2021 (2)

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features
He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng.
IEEE Transactions on Medical Imaging (TMI), 2021.
[PDF]

Peripapillary Atrophy Segmentation with Boundary Guidance
He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng.
MICCAI workshop on Ophthalmic Medical Image Analysis (OMIA), 2021.
[PDF]

2020 and before (7)

Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification
He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.
[PDF]

Improving retinal vessel segmentation with joint local loss by matting.
He Zhao, Huiqi Li, Li Cheng.
Pattern Recognition (PR), 2020.
[PDF]

Retinal Vascular Junction Detection and Classification via Deep Neural Networks
He Zhao, Yun Sun, Huiqi Li.
Computer Methods and Programs in Biomedicine (CMPB), 2020.
[PDF]

Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks
He Zhao, Bingyu Yang, Lvchen Cao, Huiqi Li.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
[PDF] [Poster]

Supervised Segmentation of Un-AnnotatedRetinal Fundus Images by Synthesis
He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng.
IEEE Transactions on Medical Imaging (TMI), 2019.
[PDF] [Project]

Synthesizing Retinal and Neuronal Images with Generative Adversarial Nets
He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Li Cheng.
Medical Image Analysis (MedIA), 2018.
[PDF] [Project]

Segment 2D and 3D Filaments by Learning Structured and Contextual Features
Lin Gu, Xiaowei Zhang, He Zhao, Huiqi Li, Li Cheng.
IEEE Transactions on Medical Imaging (TMI), 2017.
[PDF]

Chapter 14: Data augmentation for medical image analysis
He Zhao, Huiqi Li, Li Cheng.
Biomedical Image Synthesis and Simulation, edited by Ninon Burgos, David Svoboda, 2022.
[PDF]

Chapter 6: Vasculature Analysis: Segmentation, Tracing, and Beyond
Li Cheng, Xingzheng Lyu, He Zhao, Huazhu Fu, Huiqi Li.
Computational Retinal Image Analysis, edited by Emanuele Trucco, Tom MacGillivray, Yanwu Xu, 2019.
[PDF]