Yingying Zhu
Cited by
Cited by
Complex non-rigid motion 3d reconstruction by union of subspaces
Y Zhu, D Huang, F De La Torre, S Lucey
Proceedings of the IEEE conference on computer vision and pattern …, 2014
Convolutional sparse coding for trajectory reconstruction
Y Zhu, S Lucey
IEEE transactions on pattern analysis and machine intelligence 37 (3), 529-540, 2013
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
Y Peng, Y Tang, S Lee, Y Zhu, RM Summers, Z Lu
IEEE transactions on big data 7 (1), 3-12, 2020
Robust generalized maximum correntropy criterion algorithms for active noise control
Y Zhu, H Zhao, X Zeng, B Chen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1282-1292, 2020
ENet: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
Y Tang, Y Tang, Y Zhu, J Xiao, RM Summers
International Conference on Medical Image Computing and Computer-Assisted …, 2020
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning
Z Wang, X Zhu, E Adeli, Y Zhu, F Nie, B Munsell, G Wu
Medical image analysis 39, 218-230, 2017
3D motion reconstruction for real-world camera motion
Y Zhu, M Cox, S Lucey
CVPR 2011, 1-8, 2011
Early diagnosis of Alzheimer’s disease by joint feature selection and classification on temporally structured support vector machine
Y Zhu, X Zhu, M Kim, D Shen, G Wu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
A disentangled generative model for disease decomposition in chest x-rays via normal image synthesis
Y Tang, Y Tang, Y Zhu, J Xiao, RM Summers
Medical Image Analysis 67, 101839, 2021
Automated generation of accurate\& fluent medical x-ray reports
HTN Nguyen, D Nie, T Badamdorj, Y Liu, Y Zhu, J Truong, L Cheng
arXiv preprint arXiv:2108.12126, 2021
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data
Y Zhu, M Kim, X Zhu, D Kaufer, G Wu, ...
Medical image analysis 67, 101825, 2021
Dynamic fMRI networks predict success in a behavioral weight loss program among older adults
F Mokhtari, WJ Rejeski, Y Zhu, G Wu, SL Simpson, JH Burdette, ...
Neuroimage 173, 421-433, 2018
Cross-domain medical image translation by shared latent Gaussian mixture model
Y Zhu, Y Tang, Y Tang, DC Elton, S Lee, PJ Pickhardt, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Reveal consistent spatial-temporal patterns from dynamic functional connectivity for autism spectrum disorder identification
Y Zhu, X Zhu, H Zhang, W Gao, D Shen, G Wu
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
Illumination adaptive transformer
Z Cui, K Li, L Gu, S Su, P Gao, Z Jiang, Y Qiao, T Harada
arXiv preprint arXiv:2205.14871, 2636-2645, 2022
Identifying high order brain connectome biomarkers via learning on hypergraph
C Zu, Y Gao, B Munsell, M Kim, Z Peng, Y Zhu, W Gao, D Zhang, D Shen, ...
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016
Atherosclerotic plaque burden on abdominal CT: automated assessment with deep learning on noncontrast and contrast-enhanced scans
RM Summers, DC Elton, S Lee, Y Zhu, J Liu, M Bagheri, V Sandfort, ...
Academic radiology 28 (11), 1491-1499, 2021
Dynamic hyper-graph inference framework for computer-assisted diagnosis of neurodegenerative diseases
Y Zhu, X Zhu, M Kim, J Yan, D Kaufer, G Wu
IEEE transactions on medical imaging 38 (2), 608-616, 2018
Source data‐free domain adaptation of object detector through domain‐specific perturbation
L Xiong, M Ye, D Zhang, Y Gan, X Li, Y Zhu
International Journal of Intelligent Systems 36 (8), 3746-3766, 2021
A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases
Y Zhu, X Zhu, M Kim, D Kaufer, G Wu
Information Processing in Medical Imaging: 25th International Conference …, 2017
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