Yan Xu

发表

MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask

Shengyu Zhao, Yilun Sheng, Yue Dong, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Weakly supervised histopathology cancer image segmentation and classification

Zhuowen Tu, Jun-Yan Zhu, Yan Xu, 2014, Medical Image Anal..

Integrated 3d flow-based multi-atlas brain structure segmentation

E. Chang, Yan Xu, Xianglong Liu, 2022, PloS one.

Whole Brain Segmentation with Full Volume Neural Network

Eric I-Chao Chang, Xiao Liang, Jingdong Wang, 2021, Comput. Medical Imaging Graph..

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering

Zhuowen Tu, Yan Xu, Jun-Yan Zhu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Deep learning in digital pathology image analysis: a survey

Yubo Fan, Yan Xu, Xin Zhang, 2020, Frontiers of Medicine.

Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries

Jun'ichi Tsujii, Kai Hong, Yan Xu, 2012, J. Am. Medical Informatics Assoc..

Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation

Fang Zhang, Zhipeng Jia, Yan Xu, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features

E. Chang, Yan Xu, M. Lai, 2017, BMC Bioinformatics.

Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks

Bo Hu, Ye Tang, Yubo Fan, 2017, IEEE Journal of Biomedical and Health Informatics.

Deep learning of feature representation with multiple instance learning for medical image analysis

Yan Xu, Eric I-Chao Chang, Peilin Zhong, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation

Zhuowen Tu, Jianwen Zhang, Yan Xu, 2012, MICCAI.

MRI Cross-Modality Image-to-Image Translation

Nannan Li, Eric I-Chao Chang, Qianye Yang, 2020, Scientific Reports.

Wound area measurement with 3D transformation and smartphone images

E. Chang, Yan Xu, Zhongjun Mo, 2019, BMC Bioinformatics.

Microscopic Fine-Grained Instance Classification Through Deep Attention pdf

Yan Xu, Jens Rittscher, Eric I-Chao Chang, 2020, MICCAI.

Interrater agreement between American and Chinese sleep centers according to the 2014 AASM standard

Ying Zhang, Eric I-Chao Chang, Yubo Fan, 2019, Sleep and Breathing.

Large Scale Image Completion via Co-Modulated Generative Adversarial Networks pdf

Shengyu Zhao, Eric I Chang, Xiao Liang, 2021, ICLR.

MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask

Yan Xu, Shengyu Zhao, Eric I-Chao Chang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MRI Cross-Modality Image-to-Image Translation

E. Chang, Yan Xu, Qianye Yang, 2020, Scientific Reports.

Gland Instance Segmentation by Deep Multichannel Side Supervision

Yang Li, Yan Xu, Eric I-Chao Chang, 2016, MICCAI.

Deep Learning in Multimodal Medical Image Analysis

Yan Xu, Yan Xu, 2019, HIS.

Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary

Junichi Tsujii, S. Ananiadou, E. Chang, 2015, BMC Bioinformatics.

Unsupervised object class discovery via saliency-guided multiple class learning

Zhuowen Tu, Jiajun Wu, Jun-Yan Zhu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Weakly supervised histopathology image segmentation with self-attention

K. Li, E. Chang, Yan Xu, 2023, Medical Image Anal..

Parallel multiple instance learning for extremely large histopathology image analysis

Yan Xu, Ziwei Wu, Eric I-Chao Chang, 2017, BMC Bioinformatics.

Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features

Zhipeng Jia, Yan Xu, Eric I-Chao Chang, 2017, BMC Bioinformatics.

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble

Zhipeng Jia, Yan Xu, Eric I-Chao Chang, 2016, Signal Process. Image Commun..

A classification approach to coreference in discharge summaries: 2011 i2b2 challenge

Yue Wang, Zhuowen Tu, Jun'ichi Tsujii, 2012, J. Am. Medical Informatics Assoc..

Learning multi-level features for sensor-based human action recognition pdf

Xin Zhang, Yan Xu, Yifan Gao, 2016, Pervasive Mob. Comput..

3D-SIFT-Flow for atlas-based CT liver image segmentation.

Weimin Huang, Yubo Fan, Eric I-Chao Chang, 2016, Medical Physics (Lancaster).

An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge

Junichi Tsujii, E. Chang, Yan Xu, 2013, J. Am. Medical Informatics Assoc..

Named entity recognition of follow-up and time information in 20 000 radiology reports

Jun'ichi Tsujii, Yan Xu, Eric I-Chao Chang, 2012, J. Am. Medical Informatics Assoc..

Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources

Sophia Ananiadou, Eric I-Chao Chang, Zhaoheng Ni, 2014, PloS one.

Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries

Junichi Tsujii, E. Chang, Yan Xu, 2012, J. Am. Medical Informatics Assoc..

Interrater agreement between American and Chinese sleep centers according to the 2014 AASM standard

E. Chang, Yan Xu, He Gao, 2019, Sleep and Breathing.