Yingying Zhu
Orcid: 0000-0003-3920-5890Affiliations:
- National Institutes of Health Clinical Center. Bethesda, USA
According to our database1,
Yingying Zhu
authored at least 25 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.
npj Digit. Medicine, 2024
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning.
Medical Image Anal., 2024
2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning.
CoRR, 2023
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images.
Medical Image Anal., 2022
CoRR, 2022
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation.
CoRR, 2022
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis.
CoRR, 2022
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.
Proceedings of the AMIA 2022, 2022
2021
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.
IEEE Trans. Big Data, 2021
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.
Medical Image Anal., 2021
Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.
J. Am. Medical Informatics Assoc., 2021
Source data-free domain adaptation of object detector through domain-specific perturbation.
Int. J. Intell. Syst., 2021
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.
CoRR, 2020
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
E<sup>2</sup>Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020
2019
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases.
IEEE Trans. Medical Imaging, 2019
2017
2008
Proceedings of the Fourth International Conference on Natural Computation, 2008