Yingying Zhu
Title
Cited by
Cited by
Year
Convolutional sparse coding for trajectory reconstruction
Y Zhu, S Lucey
IEEE transactions on pattern analysis and machine intelligence 37 (3), 529-540, 2013
962013
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
922014
3D motion reconstruction for real-world camera motion
Y Zhu, M Cox, S Lucey
CVPR 2011, 1-8, 2011
432011
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
International Conference on Medical Image Computing and Computer-Assisted …, 2016
312016
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
International conference on medical image computing and computer-assisted …, 2016
192016
Efficient articulated trajectory reconstruction using dynamic programming and filters
J Valmadre, Y Zhu, S Sridharan, S Lucey
European Conference on Computer Vision, 72-85, 2012
182012
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
172017
A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases
Y Zhu, X Zhu, M Kim, D Kaufer, G Wu
International conference on information processing in medical imaging, 158-169, 2017
172017
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
132018
Personalized diagnosis for alzheimer’s disease
Y Zhu, M Kim, X Zhu, J Yan, D Kaufer, G Wu
International conference on medical image computing and computer-assisted …, 2017
132017
Progressive graph-based transductive learning for multi-modal classification of brain disorder disease
Z Wang, X Zhu, E Adeli, Y Zhu, C Zu, F Nie, D Shen, G Wu
International Conference on Medical Image Computing and Computer-Assisted …, 2016
92016
Scheduling with Freshness and Performance Guarantees for Web Applications in the Cloud.
Y Zhu, MA Sharaf, X Zhou
ADC, 133-142, 2011
82011
Camera-less articulated trajectory reconstruction
Y Zhu, J Valmadre, S Lucey
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
62012
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
52018
Joint discriminative and representative feature selection for Alzheimer’s disease diagnosis
X Zhu, HI Suk, KH Thung, Y Zhu, G Wu, D Shen
International Workshop on Machine Learning in Medical Imaging, 77-85, 2016
52016
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, ...
International Workshop on Machine Learning in Medical Imaging, 1-9, 2016
52016
A tensor statistical model for quantifying dynamic functional connectivity
Y Zhu, X Zhu, M Kim, J Yan, G Wu
International Conference on Information Processing in Medical Imaging, 398-410, 2017
42017
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation
SA Sriram, A Paul, Y Zhu, V Sandfort, PJ Pickhardt, RM Summers
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 113140K, 2020
32020
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
Y Zhu, MR Sabuncu
arXiv preprint arXiv:1803.05011, 2018
32018
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
arXiv preprint arXiv:2007.07230, 2020
22020
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