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Jianhua Yao

Tencent AI Lab, Shenzhen, China

Blind deblurring for microscopic pathology images using deep learning networks


Nov 24, 2020
Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao


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Microscope Based HER2 Scoring System


Sep 15, 2020
Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han

* 11 pages, 5 figures, and 4 tables 

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COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19


Apr 30, 2020
Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan


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Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data


Feb 23, 2019
Ling Zhang, Le Lu, Robert M. Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao

* 10 pages, 6 figures 

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Fine-Grained Classification of Cervical Cells Using Morphological and Appearance Based Convolutional Neural Networks


Oct 14, 2018
Haoming Lin, Yuyang Hu, Siping Chen, Jianhua Yao, Ling Zhang

* 7 pages, 4 figures 

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DeepPap: Deep Convolutional Networks for Cervical Cell Classification


Jan 25, 2018
Ling Zhang, Le Lu, Isabella Nogues, Ronald M. Summers, Shaoxiong Liu, Jianhua Yao

* IEEE Journal of Biomedical and Health Informatics, 19 May 2017, Volume: 21 Issue: 6 

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Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans


Jan 25, 2018
Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao

* 4 pages,3 figures 

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Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation


Jan 25, 2018
Ling Zhang, Vissagan Gopalakrishnan, Le Lu, Ronald M. Summers, Joel Moss, Jianhua Yao

* 4 pages, 3 figures 

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Convolutional Invasion and Expansion Networks for Tumor Growth Prediction


Jan 25, 2018
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao

* IEEE Transactions on Medical Imaging, 15 November 2017, Volume:PP Issue: 99 

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Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition


Dec 27, 2017
Xiaosong Wang, Le Lu, Hoo-chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers

* WACV 2017. arXiv admin note: text overlap with arXiv:1603.07965 V2: supplementary material appended 

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Personalized Pancreatic Tumor Growth Prediction via Group Learning


Jun 01, 2017
Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao


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Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation


Mar 28, 2016
Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M Summers


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Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database


Mar 25, 2016
Xiaosong Wang, Le Lu, Hoo-chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald Summers


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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning


Feb 10, 2016
Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel Mollura, Ronald M. Summers


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Improving Vertebra Segmentation through Joint Vertebra-Rib Atlases


Feb 01, 2016
Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers

* Manuscript to be presented at SPIE Medical Imaging 2016, 27 February - 3 March, 2016, San Diego, California, USA 

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Deep convolutional networks for automated detection of posterior-element fractures on spine CT


Jan 29, 2016
Holger R. Roth, Yinong Wang, Jianhua Yao, Le Lu, Joseph E. Burns, Ronald M. Summers

* To be presented at SPIE Medical Imaging, 2016, San Diego 

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Osteoporotic and Neoplastic Compression Fracture Classification on Longitudinal CT


Jan 27, 2016
Yinong Wang, Jianhua Yao, Joseph E. Burns, Ronald M. Summers

* Contributed 4-Page Paper to be presented at the 2016 IEEE International Symposium on Biomedical Imaging (ISBI), April 13-16, 2016, Prague, Czech Republic 

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Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT


Jan 13, 2016
Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers

* MICCAI 2015 Computational Methods and Clinical Applications for Spine Imaging Workshop 

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Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation


Sep 15, 2015
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin Cherry, Lauren Kim, Ronald M. Summers

* IEEE Transactions on Medical Imaging, 28 September 2015, Volume:PP, Issue: 99 
* 2D vs 2.5D vs 3D inputs and comparison to other standard classifiers such as SVM have been addressed by more experimentation and two completely new sections and figures. Results and Discussions have been updated accordingly 

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Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation


May 04, 2015
Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers


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Anatomy-specific classification of medical images using deep convolutional nets


Apr 15, 2015
Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers

* Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on Year: 2015 Pages: 101 - 104 
* Presented at: 2015 IEEE International Symposium on Biomedical Imaging, April 16-19, 2015, New York Marriott at Brooklyn Bridge, NY, USA 

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Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications


Jul 22, 2014
Holger R. Roth, Jianhua Yao, Le Lu, James Stieger, Joseph E. Burns, Ronald M. Summers

* This paper will be presented at "Computational Methods and Clinical Applications for Spine Imaging" workshop held in conjunction with MICCAI 2014 

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Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems


Jun 26, 2011
Ulas Bagci, Jianhua Yao, Jesus Caban, Anthony F. Suffredini, Tara N. Palmore, Daniel J. Mollura

* 7 pages, 4 figures. Published in Proc. of Medical Image Computing and Computer Assisted Interventions (MICCAI), 2011 

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