Yan Xu

According to our database, Yan Xu authored at least 51 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images.

Zhiyun Song, Penghui Du, Junpeng Yan, Kailu Li, Jianzhong Shou, Maode Lai, Yubo Fan, Yan Xu

IEEE Trans. Medical Imaging, January, 2024

2023

Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation.

Yang Zhou, Yongjian Wu, Zihua Wang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu

IEEE Trans. Medical Imaging, October, 2023

Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity.

Hao Du, Qihua Dong, Yan Xu, Jing Liao

IEEE Trans. Medical Imaging, October, 2023

Weakly supervised histopathology image segmentation with self-attention.

Kailu Li, Ziniu Qian, Yingnan Han, Eric I-Chao Chang, Bingzheng Wei, Maode Lai, Jing Liao, Yubo Fan, Yan Xu

Medical Image Anal., May, 2023

DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis.

Zhiwen Yang, Yang Zhou, Hui Zhang, Bingzheng Wei, Yubo Fan, Yan Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models.

Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Preserving Tumor Volumes for Unsupervised Medical Image Registration.

Qihua Dong, Hao Du, Ying Song, Yan Xu, Jing Liao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis.

Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu

IEEE Trans. Medical Imaging, 2022

Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network.

Lin Ge, Xingyue Wei, Yayu Hao, Jianwen Luo, Yan Xu

IEEE Trans. Medical Imaging, 2022

Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation.

Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Whole brain segmentation with full volume neural network.

Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu

Comput. Medical Imaging Graph., 2021

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

Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I-Chao Chang, Yan Xu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge.

Jirí Borovec, Jan Kybic, Ignacio Arganda-Carreras, Dmitry V. Sorokin, Gloria Bueno, Alexander V. Khvostikov, Spyridon Bakas, Eric I-Chao Chang, Stefan Heldmann, Kimmo Kartasalo, Leena Latonen, Johannes Lotz, Michelle Noga, Sarthak Pati, Kumaradevan Punithakumar, Pekka Ruusuvuori, Andrzej Skalski, Nazanin Tahmasebi, Masi Valkonen, Ludovic Venet, Yizhe Wang, Nick Weiss, Marek Wodzinski, Yu Xiang, Yan Xu, Yan Yan, Paul A. Yushkevich, Shengyu Zhao, Arrate Muñoz-Barrutia

IEEE Trans. Medical Imaging, 2020

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network.

Shengyu Zhao, Ting Fung Lau, Ji Luo, Eric I-Chao Chang, Yan Xu

IEEE J. Biomed. Health Informatics, 2020

Microscopic Fine-Grained Instance Classification Through Deep Attention.

Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention.

Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask.

Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu

IEEE J. Biomed. Health Informatics, 2019

Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries.

Yipei Wang, Xingyu Fan, Luoxin Chen, Eric I-Chao Chang, Sophia Ananiadou, Junichi Tsujii, Yan Xu

BMC Bioinform., 2019

Wound area measurement with 3D transformation and smartphone images.

Chunhui Liu, Xingyu Fan, Zhizhi Guo, Zhongjun Mo, Eric I-Chao Chang, Yan Xu

BMC Bioinform., 2019

Recursive Cascaded Networks for Unsupervised Medical Image Registration.

Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

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 I-Chao Chang

Signal Process. Image Commun., 2018

Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification.

Huiwu Luo, Yuan Yan Tang, Robert P. Biuk-Aghai, Yan Xu, Lina Yang, Yi Wang

Int. J. Wavelets Multiresolution Inf. Process., 2018

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, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

CoRR, 2018

MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation.

Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric I-Chao Chang, Yan Xu

CoRR, 2018

Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device.

Xin Zhang, Weixuan Kou, Eric I-Chao Chang, He Gao, Yubo Fan, Yan Xu

Comput. Biol. Medicine, 2018

2017

Constrained Deep Weak Supervision for Histopathology Image Segmentation.

Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu

IEEE Trans. Medical Imaging, 2017

Gland Instance Segmentation Using Deep Multichannel Neural Networks.

Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang

IEEE Trans. Biomed. Eng., 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 I-Chao Chang

Pervasive Mob. Comput., 2017

Unsupervised End-to-end Learning for Deformable Medical Image Registration.

Siyuan Shan, Xiaoqing Guo, Wen Yan, Eric I-Chao Chang, Yubo Fan, Yan Xu

CoRR, 2017

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 I-Chao Chang

BMC Bioinform., 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 I-Chao Chang

BMC Bioinform., 2017

2016

End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance.

Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric I-Chao Chang

CoRR, 2016

Gland Instance Segmentation by Deep Multichannel Neural Networks.

Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Yubo Fan, Maode Lai, Eric I-Chao Chang

CoRR, 2016

Gland Instance Segmentation by Deep Multichannel Side Supervision.

Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning.

Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu

IEEE Trans. Pattern Anal. Mach. Intell., 2015

A two-layer structure prediction framework for microscopy cell detection.

Yan Xu, Weiying Wu, Eric I-Chao Chang, Danny Ziyi Chen, Jian Mu, Peter P. Lee, Kim R. M. Blenman, Zhuowen Tu

Comput. Medical Imaging Graph., 2015

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

Yan Xu, Luoxin Chen, Junsheng Wei, Sophia Ananiadou, Yubo Fan, Yi Qian, Eric I-Chao Chang, Jun'ichi Tsujii

BMC Bioinform., 2015

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

Yan Xu, Zhipeng Jia, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Weakly supervised histopathology cancer image segmentation and classification.

Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu

Medical Image Anal., 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 I-Chao Chang

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

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

Yan Xu, Yining Wang, Tianren Liu, Junichi Tsujii, Eric I-Chao Chang

J. Am. Medical Informatics Assoc., 2013

2012

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

Yan Xu, Junichi Tsujii, Eric I-Chao Chang

J. Am. Medical Informatics Assoc., 2012

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

Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang

J. Am. Medical Informatics Assoc., 2012

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

Yan Xu, Kai Hong, Junichi Tsujii, Eric I-Chao Chang

J. Am. Medical Informatics Assoc., 2012

Quantification of coronary arterial stenoses in CTA using fuzzy distance transform.

Yan Xu, Guoyuan Liang, Guangshu Hu, Yan Yang, Jinzhao Geng, Punam K. Saha

Comput. Medical Imaging Graph., 2012

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation.

Yan Xu, Jianwen Zhang, Eric I-Chao Chang, Maode Lai, Zhuowen Tu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

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

Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010

Volumetric Topological Analysis: A Novel Approach for Trabecular Bone Classification on the Continuum Between Plates and Rods.

Punam K. Saha, Yan Xu, Hong Duan, Anneliese Heiner, Guoyuan Liang

IEEE Trans. Medical Imaging, 2010

2009

Volumetric topological analysis: a novel method for trabecular bone characterization on the continuum between plates and rods.

Punam K. Saha, Yan Xu, Guoyuan Liang, Hong Duan

Proceedings of the Medical Imaging 2009: Image Processing, 2009

2007

An improved algorithm for vessel centerline tracking in coronary angiograms.

Yan Xu, Hui Zhang, Hao Li, Guangshu Hu

Comput. Methods Programs Biomed., 2007