Prati
Jiawen Yao
Jiawen Yao
Alibaba DAMO Academy
Potvrđena adresa e-pošte na alibaba-inc.com - Početna stranica
Naslov
Citirano
Citirano
Godina
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
2872020
WSISA: Making Survival Prediction from Whole Slide Histopathological Images
X Zhu, J Yao, F Zhu, J Huang
CVPR, 2017
2832017
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
2532016
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
2512015
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
1522018
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
1292018
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
1082017
Deep multi-instance learning for survival prediction from whole slide images
J Yao, X Zhu, J Huang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
812019
Subtype cell detection with an accelerated deep convolution neural network
S Wang, J Yao, Z Xu, J Huang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
802016
Imaging biomarker discovery for lung cancer survival prediction
J Yao, S Wang, X Zhu, J Huang
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
742016
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
582018
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
532016
Artificial intelligence to predict lymph node metastasis at CT in pancreatic ductal adenocarcinoma
Y Bian, Z Zheng, X Fang, H Jiang, M Zhu, J Yu, H Zhao, L Zhang, J Yao, ...
Radiology 306 (1), 160-169, 2023
452023
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
452017
Graph attention multi-instance learning for accurate colorectal cancer staging
A Raju, J Yao, MMH Haq, J Jonnagaddala, J Huang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
442020
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
382015
Deep learning for fully automated prediction of overall survival in patients with oropharyngeal cancer using FDG-PET imaging
NM Cheng, J Yao, J Cai, X Ye, S Zhao, K Zhao, W Zhou, I Nogues, Y Huo, ...
Clinical Cancer Research 27 (14), 3948-3959, 2021
332021
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
302015
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor …
J Yao, Y Shi, K Cao, L Lu, J Lu, Q Song, G Jin, J Xiao, Y Hou, L Zhang
Medical image analysis 73, 102150, 2021
292021
3D graph anatomy geometry-integrated network for pancreatic mass segmentation, diagnosis, and quantitative patient management
T Zhao, K Cao, J Yao, I Nogues, L Lu, L Huang, J Xiao, Z Yin, L Zhang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
282021
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