Jiawen Yao
Jiawen Yao
PAII Inc
Verified email at mavs.uta.edu - Homepage
Title
Cited by
Cited by
Year
Background Subtraction Based on Low-Rank and Structured Sparse Decomposition
X Liu, G Zhao, J Yao, C Qi
IEEE Transactions on Image Processing 24 (8), 2502-2514, 2015
1572015
WSISA: Making Survival Prediction from Whole Slide Histopathological Images
X Zhu, J Yao, F Zhu, J Huang
CVPR, 2017
772017
Deep convolutional neural network for survival analysis with pathological images
X Zhu, J Yao, J Huang
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
652016
Subtype cell detection with an accelerated deep convolution neural network
S Wang, J Yao, Z Xu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
522016
Weakly supervised deep learning for thoracic disease classification and localization on chest x-rays
C Yan, J Yao, R Li, Z Xu, J Huang
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
422018
Deep correlational learning for survival prediction from multi-modality data
J Yao, X Zhu, F Zhu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2017
412017
Imaging biomarker discovery for lung cancer survival prediction
J Yao, S Wang, X Zhu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
402016
Accelerated Dynamic MRI Reconstruction with Total Variation and Nuclear Norm Regularization
J Yao, Z Xu, X Huang, J Huang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015, 635-642, 2015
292015
Lung cancer survival prediction from pathological images and genetic data—An integration study
X Zhu, J Yao, X Luo, G Xiao, Y Xie, A Gazdar, J Huang
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1173-1176, 2016
282016
Background subtraction using spatio-temporal group sparsity recovery
X Liu, J Yao, X Hong, X Huang, Z Zhou, C Qi, G Zhao
IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1737-1751, 2017
262017
Graph CNN for survival analysis on whole slide pathological images
R Li, J Yao, X Zhu, Y Li, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2018
202018
An efficient algorithm for dynamic MRI using low-rank and total variation regularizations
J Yao, Z Xu, X Huang, J Huang
Medical image analysis 44, 14-27, 2018
202018
Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features
J Yao, D Ganti, X Luo, G Xiao, Y Xie, S Yan, J Huang
Springer International Publishing, 2015
182015
Foreground detection using low rank and structured sparsity
J Yao, X Liu, C Qi
2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014
182014
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images
J Yao, X Zhu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
92019
Imaging-genetic data mapping for clinical outcome prediction via supervised conditional gaussian graphical model
X Zhu, J Yao, G Xiao, Y Xie, J Rodriguez-Canales, ER Parra, C Behrens, ...
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
82016
Integrating 3D Geometry of Organ for Improving Medical Image Segmentation
J Yao, J Cai, D Yang, D Xu, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2019
52019
A simple primal-dual algorithm for nuclear norm and total variation regularization
Z Zhu, J Yao, Z Xu, J Huang, B Zhang
Neurocomputing 289, 1-12, 2018
52018
Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks
J Yao, X Zhu, J Jonnagaddala, N Hawkins, J Huang
Medical Image Analysis 65, 101789, 2020
12020
Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging
A Raju, J Yao, MMH Haq, J Jonnagaddala, J Huang
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
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