Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric Chang, Yubo Fan, Maode Lai, Yan Xu
IEEE Journal of Biomedical and Health Informatics | May 2019
출판물
연도별 간행물
-
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
Medical Image Analysis | March 2019
Interrater agreement between American and Chinese sleep centers according to the 2014 AASM standard.
Shujian Deng, Xin Zhang, Ying Zhang, He Gao, Eric Chang, Yubo Fan, Yan Xu
Sleep and Breathing | February 2019
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Tingfung Lau, Ji Luo, Shengyu Zhao, Eric Chang, Yan Xu
February 2019
-
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device
Xin Zhang, Weixuan Kou, Eric Chang, He Gao, Yubo Fan, Yan Xu
Computers in Biology and Medicine | October 2018
精准医疗时代人工智能在医学图像中的应用
Yipei Wang, Wen Yan, Eric Chang, Maode Lai, Yan Xu
人工智能 | August 2018
人工智能时代的病理组学
Wen Yan, Nannan Li, Eric Chang, Maode Lai, Yan Xu
临床与实验病理学杂志 | June 2018, 제 34 권(6)
深度学习在数字病理中的应用
Wen Yan, Ye Tang, Eric Chang, Maode Lai, Yan Xu
中国生物医学工程学报 | February 2018, 제 37 권(1)
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric Chang, Yan Xu
January 2018
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan, Wen Yan, Xiaoqing Guo, Eric Chang, Yubo Fan, Yan Xu
January 2018
-
Gland instance segmentation using deep multichannel neural networks
Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric Chang
IEEE Transactions on Biomedical Engineering | December 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia, Xingyi Huang, Eric Chang, Yan Xu
IEEE Transactions on Medical Imaging | November 2017
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble
Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric Chang
Signal Processing: Image Communication | October 2017, 제 60 권: pp. 131-143
病理人工智能的现状和展望
Yan Xu, Ye Tang, Wen Yan, Eric Chang, Maode Lai
中华病理学杂志 | September 2017, 제 46 권(9)
Parallel multiple instance learning for extremely large histopathology image analysis
Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric Chang
BMC bioinformatics | August 2017
Learning Multi-level Features For Sensor-based Human Action Recognition
Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric Chang
Pervasive and Mobile Computing | July 2017
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric Chang
Bmc Bioinformatics | May 2017
-
3D-SIFT-Flow for atlas-based CT liver image segmentation
Yan Xu, Chenchao Xu, Xiao Kuang, Hongkai Wang, Eric Chang, Weimin Huang, Yubo Fan
January 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Eric Chang
January 2016
-
-
Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources
Yan Xu, Ji Hua, Zhaoheng Ni, Qinlang Chen, Yubo Fan, Sophia Ananiadou, Eric Chang, Junichi Tsujii
PLoS One | October 2014
A two-layer structure prediction framework for microscopy cell detection
Yan Xu, Eric Chang
July 2014
Weakly supervised histopathology cancer image segmentation and classification
Yan Xu, Eric Chang
February 2014
Deep learning of feature representation with multiple instance learning for medical image analysis
Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric Chang
ICASSP | January 2014
-
Full Supervised Learning for Osteoporosis Diagnosis Using Micro-CT Imag
July 2013
Multi-Label Classification for Colon Cancer Using Histopathological Images
Yan Xu, Liping Jiao, Siyu Wang, Junsheng Wei, Yubo Fan, Maode Lai, Eric Chang
July 2013
Building Large Collections of Chinese and English Medical Terms from Semi-Structured and Encyclopedia Websites
Yan Xu, Yining Wang, Jian-Tao Sun, Jianwen Zhang, Junichi Tsujii, Eric Chang
PLOS ONE | July 2013
Funding: This work was supported by Microsoft Research Asia (MSR Asia). The work was also supported by MSRA eHealth grant, grant 61073077 from National Science Foundation of China and grant SKLSDE-2011ZX-13 from State Key Laboratory of Software Development Environment in Beihang University in China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries
Yan Xu, Yining Wang, Tianren Liu, Jiahua Liu, Yubo Fan, Yi Qian, Junichi Tsujii, Eric Chang
JAMIA | July 2013
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge
Junichi Tsujii, Yan Xu, Yining Wang, Tianren Liu, Eric I-Chao Chang, Eric Chang
Journal of American Medical Informatics Association | February 2013
-
Quantification of coronary arterial stenoses in CTA using fuzzy distance transform
Yan Xu, Guoyuan Liang, Guangshu Hu, Yan Yang, Jinzhao Geng, Punam K. Saha
Computerized Medical Imaging and Graphics | July 2012, 제 36 권: pp. 11-24
Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis (Oral)
Eric Chang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) | June 2012
Named entity recognition of follow-up and time information in 20,000 radiology reports
Yan Xu, Junichi Tsujii, Eric Chang
Journal of the American Medical Informatics Association | May 2012
Feature engineering combined with machine learning and rule-based methods for structured information
Eric Chang
Journal of the American Medical Informatics Association | May 2012
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge
Jian-Tao Sun, Eric Chang
Journal of the American Medical Informatics Association | January 2012
Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering
Yan Xu, Jun-Yan Zhu, Eric Chang, Zhuowen Tu
Computer Vision and Pattern Recognition (CVPR) | January 2012
Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data
Yan Xu, Yue Wang, Jiahua Liu, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric Chang
Biomedical Informatics Insights | January 2012
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning
Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric Chang, Zhuowen Tu
Computer Vision and Pattern Recognition (CVPR) | January 2012
연구분야별 간행물
-
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric Chang, Yubo Fan, Maode Lai, Yan Xu
IEEE Journal of Biomedical and Health Informatics | May 2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
Medical Image Analysis | March 2019
Interrater agreement between American and Chinese sleep centers according to the 2014 AASM standard.
Shujian Deng, Xin Zhang, Ying Zhang, He Gao, Eric Chang, Yubo Fan, Yan Xu
Sleep and Breathing | February 2019
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Tingfung Lau, Ji Luo, Shengyu Zhao, Eric Chang, Yan Xu
February 2019
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device
Xin Zhang, Weixuan Kou, Eric Chang, He Gao, Yubo Fan, Yan Xu
Computers in Biology and Medicine | October 2018
精准医疗时代人工智能在医学图像中的应用
Yipei Wang, Wen Yan, Eric Chang, Maode Lai, Yan Xu
人工智能 | August 2018
人工智能时代的病理组学
Wen Yan, Nannan Li, Eric Chang, Maode Lai, Yan Xu
临床与实验病理学杂志 | June 2018, 제 34 권(6)
深度学习在数字病理中的应用
Wen Yan, Ye Tang, Eric Chang, Maode Lai, Yan Xu
中国生物医学工程学报 | February 2018, 제 37 권(1)
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric Chang, Yan Xu
January 2018
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan, Wen Yan, Xiaoqing Guo, Eric Chang, Yubo Fan, Yan Xu
January 2018
Gland instance segmentation using deep multichannel neural networks
Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric Chang
IEEE Transactions on Biomedical Engineering | December 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia, Xingyi Huang, Eric Chang, Yan Xu
IEEE Transactions on Medical Imaging | November 2017
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble
Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric Chang
Signal Processing: Image Communication | October 2017, 제 60 권: pp. 131-143
病理人工智能的现状和展望
Yan Xu, Ye Tang, Wen Yan, Eric Chang, Maode Lai
中华病理学杂志 | September 2017, 제 46 권(9)
Parallel multiple instance learning for extremely large histopathology image analysis
Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric Chang
BMC bioinformatics | August 2017
Learning Multi-level Features For Sensor-based Human Action Recognition
Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric Chang
Pervasive and Mobile Computing | July 2017
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric Chang
Bmc Bioinformatics | May 2017
3D-SIFT-Flow for atlas-based CT liver image segmentation
Yan Xu, Chenchao Xu, Xiao Kuang, Hongkai Wang, Eric Chang, Weimin Huang, Yubo Fan
January 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Eric Chang
January 2016
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary
Eric Chang
January 2015
Deep Convolutional Activation Features for Large Scale Brain Tumor Histopathology Image Classification and Segmentation
Eric Chang
January 2015
Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources
Yan Xu, Ji Hua, Zhaoheng Ni, Qinlang Chen, Yubo Fan, Sophia Ananiadou, Eric Chang, Junichi Tsujii
PLoS One | October 2014
A two-layer structure prediction framework for microscopy cell detection
Yan Xu, Eric Chang
July 2014
Weakly supervised histopathology cancer image segmentation and classification
Yan Xu, Eric Chang
February 2014
Deep learning of feature representation with multiple instance learning for medical image analysis
Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric Chang
ICASSP | January 2014
Multi-Label Classification for Colon Cancer Using Histopathological Images
Yan Xu, Liping Jiao, Siyu Wang, Junsheng Wei, Yubo Fan, Maode Lai, Eric Chang
July 2013
Full Supervised Learning for Osteoporosis Diagnosis Using Micro-CT Imag
July 2013
Building Large Collections of Chinese and English Medical Terms from Semi-Structured and Encyclopedia Websites
Yan Xu, Yining Wang, Jian-Tao Sun, Jianwen Zhang, Junichi Tsujii, Eric Chang
PLOS ONE | July 2013
Funding: This work was supported by Microsoft Research Asia (MSR Asia). The work was also supported by MSRA eHealth grant, grant 61073077 from National Science Foundation of China and grant SKLSDE-2011ZX-13 from State Key Laboratory of Software Development Environment in Beihang University in China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries
Yan Xu, Yining Wang, Tianren Liu, Jiahua Liu, Yubo Fan, Yi Qian, Junichi Tsujii, Eric Chang
JAMIA | July 2013
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge
Junichi Tsujii, Yan Xu, Yining Wang, Tianren Liu, Eric I-Chao Chang, Eric Chang
Journal of American Medical Informatics Association | February 2013
Quantification of coronary arterial stenoses in CTA using fuzzy distance transform
Yan Xu, Guoyuan Liang, Guangshu Hu, Yan Yang, Jinzhao Geng, Punam K. Saha
Computerized Medical Imaging and Graphics | July 2012, 제 36 권: pp. 11-24
Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis (Oral)
Eric Chang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) | June 2012
Named entity recognition of follow-up and time information in 20,000 radiology reports
Yan Xu, Junichi Tsujii, Eric Chang
Journal of the American Medical Informatics Association | May 2012
Feature engineering combined with machine learning and rule-based methods for structured information
Eric Chang
Journal of the American Medical Informatics Association | May 2012
Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering
Yan Xu, Jun-Yan Zhu, Eric Chang, Zhuowen Tu
Computer Vision and Pattern Recognition (CVPR) | January 2012
-
Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources
Yan Xu, Ji Hua, Zhaoheng Ni, Qinlang Chen, Yubo Fan, Sophia Ananiadou, Eric Chang, Junichi Tsujii
PLoS One | October 2014
-
Building Large Collections of Chinese and English Medical Terms from Semi-Structured and Encyclopedia Websites
Yan Xu, Yining Wang, Jian-Tao Sun, Jianwen Zhang, Junichi Tsujii, Eric Chang
PLOS ONE | July 2013
Funding: This work was supported by Microsoft Research Asia (MSR Asia). The work was also supported by MSRA eHealth grant, grant 61073077 from National Science Foundation of China and grant SKLSDE-2011ZX-13 from State Key Laboratory of Software Development Environment in Beihang University in China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge
Jian-Tao Sun, Eric Chang
Journal of the American Medical Informatics Association | January 2012
Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data
Yan Xu, Yue Wang, Jiahua Liu, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric Chang
Biomedical Informatics Insights | January 2012
-
Building Large Collections of Chinese and English Medical Terms from Semi-Structured and Encyclopedia Websites
Yan Xu, Yining Wang, Jian-Tao Sun, Jianwen Zhang, Junichi Tsujii, Eric Chang
PLOS ONE | July 2013
Funding: This work was supported by Microsoft Research Asia (MSR Asia). The work was also supported by MSRA eHealth grant, grant 61073077 from National Science Foundation of China and grant SKLSDE-2011ZX-13 from State Key Laboratory of Software Development Environment in Beihang University in China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge
Junichi Tsujii, Yan Xu, Yining Wang, Tianren Liu, Eric I-Chao Chang, Eric Chang
Journal of American Medical Informatics Association | February 2013
-
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning
Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric Chang, Zhuowen Tu
Computer Vision and Pattern Recognition (CVPR) | January 2012
유형별 출판물
-
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
Bo Hu, Ye Tang, Eric Chang, Yubo Fan, Maode Lai, Yan Xu
IEEE Journal of Biomedical and Health Informatics | May 2019
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
Medical Image Analysis | March 2019
Interrater agreement between American and Chinese sleep centers according to the 2014 AASM standard.
Shujian Deng, Xin Zhang, Ying Zhang, He Gao, Eric Chang, Yubo Fan, Yan Xu
Sleep and Breathing | February 2019
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device
Xin Zhang, Weixuan Kou, Eric Chang, He Gao, Yubo Fan, Yan Xu
Computers in Biology and Medicine | October 2018
精准医疗时代人工智能在医学图像中的应用
Yipei Wang, Wen Yan, Eric Chang, Maode Lai, Yan Xu
人工智能 | August 2018
人工智能时代的病理组学
Wen Yan, Nannan Li, Eric Chang, Maode Lai, Yan Xu
临床与实验病理学杂志 | June 2018, 제 34 권(6)
深度学习在数字病理中的应用
Wen Yan, Ye Tang, Eric Chang, Maode Lai, Yan Xu
中国生物医学工程学报 | February 2018, 제 37 권(1)
Gland instance segmentation using deep multichannel neural networks
Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric Chang
IEEE Transactions on Biomedical Engineering | December 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia, Xingyi Huang, Eric Chang, Yan Xu
IEEE Transactions on Medical Imaging | November 2017
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble
Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric Chang
Signal Processing: Image Communication | October 2017, 제 60 권: pp. 131-143
病理人工智能的现状和展望
Yan Xu, Ye Tang, Wen Yan, Eric Chang, Maode Lai
中华病理学杂志 | September 2017, 제 46 권(9)
Parallel multiple instance learning for extremely large histopathology image analysis
Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric Chang
BMC bioinformatics | August 2017
Learning Multi-level Features For Sensor-based Human Action Recognition
Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric Chang
Pervasive and Mobile Computing | July 2017
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric Chang
Bmc Bioinformatics | May 2017
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary
Eric Chang
January 2015
Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources
Yan Xu, Ji Hua, Zhaoheng Ni, Qinlang Chen, Yubo Fan, Sophia Ananiadou, Eric Chang, Junichi Tsujii
PLoS One | October 2014
A two-layer structure prediction framework for microscopy cell detection
Yan Xu, Eric Chang
July 2014
Building Large Collections of Chinese and English Medical Terms from Semi-Structured and Encyclopedia Websites
Yan Xu, Yining Wang, Jian-Tao Sun, Jianwen Zhang, Junichi Tsujii, Eric Chang
PLOS ONE | July 2013
Funding: This work was supported by Microsoft Research Asia (MSR Asia). The work was also supported by MSRA eHealth grant, grant 61073077 from National Science Foundation of China and grant SKLSDE-2011ZX-13 from State Key Laboratory of Software Development Environment in Beihang University in China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Joint segmentation and named entity recognition using dual decomposition in Chinese discharge summaries
Yan Xu, Yining Wang, Tianren Liu, Jiahua Liu, Yubo Fan, Yi Qian, Junichi Tsujii, Eric Chang
JAMIA | July 2013
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge
Junichi Tsujii, Yan Xu, Yining Wang, Tianren Liu, Eric I-Chao Chang, Eric Chang
Journal of American Medical Informatics Association | February 2013
Quantification of coronary arterial stenoses in CTA using fuzzy distance transform
Yan Xu, Guoyuan Liang, Guangshu Hu, Yan Yang, Jinzhao Geng, Punam K. Saha
Computerized Medical Imaging and Graphics | July 2012, 제 36 권: pp. 11-24
Named entity recognition of follow-up and time information in 20,000 radiology reports
Yan Xu, Junichi Tsujii, Eric Chang
Journal of the American Medical Informatics Association | May 2012
Feature engineering combined with machine learning and rule-based methods for structured information
Eric Chang
Journal of the American Medical Informatics Association | May 2012
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge
Jian-Tao Sun, Eric Chang
Journal of the American Medical Informatics Association | January 2012
Suicide Note Sentiment Classification: A Supervised Approach Augmented by Web Data
Yan Xu, Yue Wang, Jiahua Liu, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric Chang
Biomedical Informatics Insights | January 2012
-
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network
Tingfung Lau, Ji Luo, Shengyu Zhao, Eric Chang, Yan Xu
February 2019
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation
Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric Chang, Yan Xu
January 2018
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan, Wen Yan, Xiaoqing Guo, Eric Chang, Yubo Fan, Yan Xu
January 2018
-
3D-SIFT-Flow for atlas-based CT liver image segmentation
Yan Xu, Chenchao Xu, Xiao Kuang, Hongkai Wang, Eric Chang, Weimin Huang, Yubo Fan
January 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Eric Chang
January 2016
Deep Convolutional Activation Features for Large Scale Brain Tumor Histopathology Image Classification and Segmentation
Eric Chang
January 2015
Weakly supervised histopathology cancer image segmentation and classification
Yan Xu, Eric Chang
February 2014
Deep learning of feature representation with multiple instance learning for medical image analysis
Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric Chang
ICASSP | January 2014
Multi-Label Classification for Colon Cancer Using Histopathological Images
Yan Xu, Liping Jiao, Siyu Wang, Junsheng Wei, Yubo Fan, Maode Lai, Eric Chang
July 2013
Full Supervised Learning for Osteoporosis Diagnosis Using Micro-CT Imag
July 2013
Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis (Oral)
Eric Chang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) | June 2012
Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering
Yan Xu, Jun-Yan Zhu, Eric Chang, Zhuowen Tu
Computer Vision and Pattern Recognition (CVPR) | January 2012
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning
Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric Chang, Zhuowen Tu
Computer Vision and Pattern Recognition (CVPR) | January 2012