Jan. 2022, Served as Reviewer of MICCAI 2022!
Dec. 2021, One paper accepted by Medical Image Analysis!
Oct. 2021 One paper accepted by BMVC 2021!
Oct. 2021, One paper accepted by EMNLP 2021!
Sep. 2021, Served as Senior PC member of AAAI 2022!
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Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images
Xinyue Hu , Lin Gu , Qiyuan An , Mengliang Zhang , liangchen liu , Kazuma Kobayashi , Tatsuya Harada , Ronald Summers , Yingying Zhu
KDD 2023
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People taking photos that faces never share: Privacy Protection and Fairness Enhancement from Camera to User
Junjie Zhu,Lin Gu,Xiaoxiao Wu,Zheng Li,Tatsuya Harada ,Yingying Zhu
AAAI 2023
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MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu
Advances in Neural Information Processing Systems 2022
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Exploring Resolution and Degradation Clues as
Self-supervised Signal for Low Quality Object
Detection
Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun, Xiaoxiao Li,
Renrui Zhang
, Zenghui Zhang
, and Tatsuya Harada
ECCV 2022
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Global-Local Attention Network with Multi-task Uncertainty Loss for Abnormal Lymph Node Detection in MR Images
Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C Elton, Thomas C Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M Summers
Medical Image Analysis 2022
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Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data
Yifei Huan
,XiaoxiaoLi， linjin Yang, Lin Gu，Yingying Zhu, Hirofumi Seo, Qiuming Meng，Tatsuya Harada, Yoichi Sato
BMVC，2021
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Automated Generation of Accurate \& Fluent Medical X-ray Reports
Hoang T.N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng
EMNLP，2021
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Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI
Yingying Zhu, ShuaiWang, Qingyu Chen, Sungyong Lee, Thomas Shen, Daniel Elton, Zhiyong Lu, Ronald Summers
International Workshop on Machine Learning in Medical Imaging 2021
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Source data‐free domain adaptation of object detector through domain‐specific perturbation
Lin Xiong, Mao Ye, Dan Zhang, Yan Gan, Xue Li, Yingying Zhu
International Journal of Intelligent Systems，2021
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Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen:
Toward automated and accessible classification of age-related macular degeneration
Qingyu Chen , Tiarnan D L Keenan , Alexis Allot , Yifan Peng , Elvira Agrón , Amitha Domalpally , Caroline C W Klaver ,
Daniel T Luttikhuizen , Marcus H Colyer , Catherine A Cukras , Henry E Wiley , M Teresa Magone , Chantal Cousineau-Krieger , Wai T Wong ,
Yingying Zhu , Emily Y Chew, Zhiyong Lu , AREDS2 Deep Learning Research Group
J Am Med Inform Assoc， 2021
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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, Yuxing Tang, Sungwon Lee, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
to appear in IEEE Transaction on Big Data 2020
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Automatic recognition of abdominal lymph nodes from clinical text
Yifan Peng, Sungwon Lee, Shuai Wang, Qingyu Chen, Yingying Zhu, Ronald M. Summers, Zhiyong Lu
clinical NLP 2020
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Atherosclerotic Plaque Burden on Abdominal CT:
Automated Assessment with Deep Learning on Noncontrast and Contrast-enhanced Scans
Ronald M. Summers, Daniel C. Elton, Sungwon Lee,
Yingying Zhu, Jiamin Liu , Mohammedhadi Bagheri, Veit Sandfort,
Peter C. Grayson , Nehal N. Mehta,
Peter A. Pinto, W. Marston Linehan,
Alberto A. Perez , Peter M. Graffy , Stacy D. O’Connor, Perry J. Pickhardt
Academic Radiology, 2020
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An Interpretable Generative Model for Abnormal Disease Separation and Radiorealistic Normal ChestX-ray Synthesis
Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
to appear in Medical Image Analysis 2020
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Cross-Domain Medical Imaging Translation using Shared Gaussian Mixture Model
Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
MICCAI 2020
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E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
Youbao Tang, Yuxing Tang, Yingying Zhu, Ronald M. Summers
Early Accepted by MICCAI 2020
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Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentations
Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
Medical Imaging with Deep Learning (MIDL) 2020
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Long Range Early Diagnosis of Alzheimer's Disease Using Longitudinal MR Imaging Data
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Guorong Wu
to appear in Medical Image Analysis 2020
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Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS
Yingying Zhu, Jodi Gilman, Anne Eden Evins, Mert Sabuncu
MICCAI 2019, oral presentation, accept rate<5%
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A Bayesian Disease Progression Model for Clinical Trajectories
Yingying Zhu, Mert Sabuncu
GRAIL 2018, Beyond MIC 2018, oral presentation
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Dynamic fMRI networks predict success in a behavioral weight loss program among older adults
Fatemeh Mokhtari, W Jack Rejeski, Yingying Zhu, Guorong Wu, Sean L Simpson, Jonathan H Burdette, Paul J Laurienti
Neuroimage 2018
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Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu
IEEE transactions on medical imaging 38 (2), 608-616, 2018
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A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
Yingying Zhu, Mert R Sabuncu
arXiv preprint arXiv:1803.05011 2018
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Personalized diagnosis for Alzheimer's disease
Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer and Guorong Wu
MICCAI 2017
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Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent Munsell, Guorong Wu
Medical Image Analysis 2017
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A tensor statistical model for quantifying dynamic functional connectivity
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
IPMI 2017
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A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
IPMI 2017
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Progressive graph-based transductive learning for multi-modal classification of brain disorder disease
Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu
MICCAI 2016
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Reveal consistent spatial-temporal patterns from dynamic functional connectivity for autism spectrum disorder identification
Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu
MICCAI 2016
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Early diagnosis of Alzheimer's disease by joint feature selection and classification on temporally structured support vector machine
Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu
MICCAI 2016, oral presentation, accept rate < 5%
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Complex non-rigid motion 3d reconstruction by union of subspaces
Yingying Zhu, Dong Huang, Fernando De La Torre, Simon Lucey
CVPR 2014
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Convolutional sparse coding for trajectory reconstruction
Yingying Zhu, Simon Lucey
IEEE transactions on pattern analysis and machine intelligence 2014
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Teaching
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