Li Zhang
Affiliations:- Peking University, Center for Data Science in Health and Medicine, Beijing, China
According to our database1,
Li Zhang
authored at least 25 papers
between 2018 and 2023.
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Bibliography
2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans.
CoRR, 2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with <sup>18</sup>F-FDG PET.
Proceedings of the Information Processing in Medical Imaging, 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 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
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images.
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
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model.
CoRR, 2018
Automated segmentaiton and classification of arterioles and venules using Cascading Dilated Convolutional Neural Networks.
CoRR, 2018