Jie Zhao
Orcid: 0009-0009-0499-8465Affiliations:
- 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 22 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images.
CoRR, 2024
Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
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
Proceedings of the 6th International Conference on Machine Learning and Natural Language Processing, 2023
2022
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 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
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training.
CoRR, 2021
2020
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
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
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