An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection. - Yingying Zhu 003; Mao Ye 001; Naiqi Liu; Xin Zhao 013; Xue Li 001 (ICNC (6), 2008)

Reconstructing tree trunks by 3D bar filters. - Yingying Zhu 003; Jin Yan (Neurocomputing, 2017)

Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases. - Yingying Zhu 003; Xiaofeng Zhu 001; Minjeong Kim; Jin Yan; Daniel Kaufer; Guorong Wu 001 (IEEE Trans. Medical Imaging, 2019)

Automatic recognition of abdominal lymph nodes from clinical text. - Yifan Peng 002; Sungwon Lee 003; Daniel C. Elton; Thomas C. Shen; Yuxing Tang; Qingyu Chen 001; Shuai Wang; Yingying Zhu 003; Ronald M. Summers; Zhiyong Lu (ClinicalNLP@EMNLP, 2020)

Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. - Sai Aditya Sriram; Angshuman Paul; Yingying Zhu 003; Veit Sandfort; Perry J. Pickhardt; Ronald M. Summers (Computer-Aided Diagnosis, 2020)

E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. - Youbao Tang; Yuxing Tang; Yingying Zhu 003; Jing Xiao 006; Ronald M. Summers (MICCAI (4), 2020)

Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model. - Yingying Zhu 003; Youbao Tang; Yuxing Tang; Daniel C. Elton; Sungwon Lee 003; Perry J. Pickhardt; Ronald M. Summers (MICCAI (2), 2020)

Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Detection. - Yingying Zhu 003; Daniel C. Elton; Sungwon Lee 003; Perry J. Pickhardt; Ronald M. Summers (CoRR, 2020)

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration. - Qingyu Chen 001; Tiarnan D. L. Keenan; Alexis Allot; Yifan Peng 002; Elvira Agrón; Amitha Domalpally; Caroline C. W. Klaver; Daniel T. Luttikhuizen; Marcus H. Colyer; Catherine A. Cukras; Henry E. Wiley; M. Teresa Magone; et al. (CoRR, 2020)

Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. - Yingying Zhu 003; Shuai Wang; Qingyu Chen 001; Sungwon Lee 003; Thomas C. Shen; Daniel C. Elton; Zhiyong Lu; Ronald M. Summers (MLMI@MICCAI, 2021)

Source data-free domain adaptation of object detector through domain-specific perturbation. - Lin Xiong; Mao Ye 001; Dan Zhang; Yan Gan; Xue Li 001; Yingying Zhu 003 (Int. J. Intell. Syst., 2021)

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. - Qingyu Chen 001; Tiarnan D. L. Keenan; Alexis Allot; Yifan Peng 002; Elvira Agrón; Amitha Domalpally; Caroline C. W. Klaver; Daniel T. Luttikhuizen; Marcus H. Colyer; Catherine A. Cukras; Henry E. Wiley; M. Teresa Magone; et al. (J. Am. Medical Informatics Assoc., 2021)

A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. - Youbao Tang; Yuxing Tang; Yingying Zhu 003; Jing Xiao 006; Ronald M. Summers (Medical Image Anal., 2021)

COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature. - Yifan Peng 002; Yuxing Tang; Sungwon Lee 003; Yingying Zhu 003; Ronald M. Summers; Zhiyong Lu (IEEE Trans. Big Data, 2021)

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping. - Chang Su 002; Yu Hou; Jielin Xu; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Yingying Zhu 003; Claire Henchcliffe; Feixiong Cheng; Fei Wang 001 (AMIA, 2022)

MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification. - Zhenbin Wang; Mao Ye 001; Xiatian Zhu; Liuhan Peng; Liang Tian; Yingying Zhu 003 (NeurIPS, 2022)

A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis. - Qiyuan An; Ruijiang Li; Lin Gu 003; Hao Zhang 050; Qingyu Chen 001; Zhiyong Lu; Fei Wang 001; Yingying Zhu 003 (CoRR, 2022)

Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. - Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Ruijiang Li; Chang Su 002; Tatsuya Harada; Yingying Zhu 003 (CoRR, 2022)

Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework. - Liangchen Liu; Qiuhong Ke; Chaojie Li; Feiping Nie 001; Yingying Zhu 003 (CoRR, 2022)

Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images. - Shuai Wang; Yingying Zhu 003; Sungwon Lee 003; Daniel C. Elton; Thomas C. Shen; Youbao Tang; Yifan Peng 002; Zhiyong Lu; Ronald M. Summers (Medical Image Anal., 2022)

Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. - Liangchen Liu; Benjamin Hou; Manas Kumar Nag; Jianfei Liu; Navid Hasani; Thomas C. Shen; Yingying Zhu 003; Babak Saboury; Jing Xiao 006; Ronald M. Summers (ISBI, 2023)

Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. - Xinyue Hu 002; Lin Gu 003; Qiyuan An; Mengliang Zhang; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (KDD, 2023)

Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. - Mengliang Zhang; Xinyue Hu 002; Lin Gu 003; Liangchen Liu; Kazuma Kobayashi; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (CoRR, 2023)

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. - Xinyue Hu 002; Lin Gu 003; Kazuma Kobayashi; Liangchen Liu; Mengliang Zhang; Tatsuya Harada; Ronald M. Summers; Yingying Zhu 003 (Medical Image Anal., 2024)

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data. - Chang Su 002; Yu Hou; Jielin Xu; Zhenxing Xu; Manqi Zhou; Alison Ke; Haoyang Li 001; Jie Xu 012; Matthew Brendel; Jacqueline R. M. A. Maasch; Zilong Bai; Haotan Zhang; et al. (npj Digit. Medicine, 2024)

Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans. - Liangchen Liu; Jianfei Liu; Bikash Santra; Christopher Parnell; Pritam Mukherjee; Tejas Sudharshan Mathai; Yingying Zhu 003; Akshaya Anand; Ronald M. Summers (Comput. Medical Imaging Graph., 2025)