He Zhao

Orcid: 0000-0002-8264-9297

Affiliations:
  • Beijing Institute of Technology, Beijing, China (PhD 2020)
  • Tencent, Shenzhen, China (2019)


According to our database1, He Zhao authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Adaptive enhancement of cataractous retinal images for contrast standardization.
Medical Biol. Eng. Comput., February, 2024

Anomaly Detection for Medical Images Using Heterogeneous Auto-Encoder.
IEEE Trans. Image Process., 2024

2023
Memory-based unsupervised video clinical quality assessment with multi-modality data in fetal ultrasound.
Medical Image Anal., December, 2023

Semi-supervised peripapillary atrophy segmentation with shape constraint.
Comput. Biol. Medicine, November, 2023

PKRT-Net: Prior knowledge-based relation transformer network for optic cup and disc segmentation.
Neurocomputing, June, 2023

A Machine Learning Method for Automated Description and Workflow Analysis of First Trimester Ultrasound Scans.
IEEE Trans. Medical Imaging, May, 2023

A deep network using coarse clinical prior for myopic maculopathy grading.
Comput. Biol. Medicine, March, 2023

Retinal image enhancement with artifact reduction and structure retention.
Pattern Recognit., 2023

Ultrasound Video Segmentation with Adaptive Temporal Memory.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automated Description and Workflow Analysis of Fetal Echocardiography in First-Trimester Ultrasound Video Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Towards Unsupervised Ultrasound Video Clinical Quality Assessment with Multi-modality Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

AMD Classification Based on Adversarial Domain Adaptation with Center Loss.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Peripapillary Atrophy Segmentation Based on ASM Loss.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification.
IEEE Trans. Neural Networks Learn. Syst., 2021

Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features.
IEEE Trans. Medical Imaging, 2021

Peripapillary Atrophy Segmentation with Boundary Guidance.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

2020
Improving retinal vessel segmentation with joint local loss by matting.
Pattern Recognit., 2020

Retinal vascular junction detection and classification via deep neural networks.
Comput. Methods Programs Biomed., 2020

2019
Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis.
IEEE Trans. Medical Imaging, 2019

Data-Driven Enhancement of Blurry Retinal Images via Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Synthesizing retinal and neuronal images with generative adversarial nets.
Medical Image Anal., 2018

2017
Segment 2D and 3D Filaments by Learning Structured and Contextual Features.
IEEE Trans. Medical Imaging, 2017

Synthesizing Filamentary Structured Images with GANs.
CoRR, 2017


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