Jie Zhao

Orcid: 0009-0009-0499-8465

Affiliations:
  • Peking University, National Engineering Laboratory for Big Data Analysis and Applications, Beijing, China
  • Peking University, Center for Data Science in Health and Medicine, Beijing, China


According to our database1, Jie Zhao authored at least 18 papers between 2018 and 2023.

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Bibliography

2023
Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review.
CoRR, 2023

propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans.
CoRR, 2023

A Person-job Matching Method Based on BM25 and Pre-trained Language Model.
Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023

2022
Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-Fine Localization and Classification.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Contractible Regularization for Federated Learning on Non-IID Data.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Skin disease diagnosis with deep learning: A review.
Neurocomputing, 2021

Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training.
CoRR, 2021

2020
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Feature Pyramid Based Attention for Cervical Image Classification.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network.
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model.
CoRR, 2018


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