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Yan Xu 0001
Person information
- affiliation: Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China
- affiliation: Microsoft Research Asia, Beijing, China
Other persons with the same name
- Yan Xu (aka: Xu Yan) — disambiguation page
- Yan Xu 0002 — University of Pittsburgh School of Medicine, PA, USA (and 1 more)
- Yan Xu 0003 — Mississippi State University, Department of Electrical and Computer Engineering, Starkville, MS, USA
- Yan Xu 0004 — Northwestern Polytechnical University, School of Management, Xi'an, China (and 1 more)
- Yan Xu 0005 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Yan Xu 0006 — South China University of Technology, School of Business Administration, Guangzhou, China
- Yan Xu 0007 — Anhui University, School of Computer Science and Technology, China
- Yan Xu 0008 — University of Science and Technology of China, School of Mathematical Sciences, Hefei, China
- Yan Xu 0009 — University of Electronic Science and Technology of China, Chengdu, China
- Yan Xu 0010 — University of Surrey, Guildford, UK
- Yan Xu 0011 — Intel Labs, Santa Clara, CA, USA (and 2 more)
- Yan Xu 0012 — Hong Kong University of Science and Technology, Hong Kong
- Yan Xu 0013 — Peking University, Software Institute, China
- Yan Xu 0014 (aka: Xu Yan 0014) — Chinese University of Hong Kong, Shenzhen Research Institute of Big Data, China
- Yan Xu 0015 — Central South University, School of Computer Science and Engineering, Changsha, China
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2020 – today
- 2025
- [j35]Xingyue Wei, Lin Ge, Lijie Huang, Jianwen Luo, Yan Xu:
Unsupervised Non-Rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features With Iterative Training. IEEE Trans. Medical Imaging 44(1): 447-461 (2025) - 2024
- [j34]Ziniu Qian, Zihua Wang, Xin Zhang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
MSNSegNet: attention-based multi-shape nuclei instance segmentation in histopathology images. Medical Biol. Eng. Comput. 62(6): 1821-1836 (2024) - [j33]Zhiyun Song, Penghui Du, Junpeng Yan, Kailu Li, Jianzhong Shou, Maode Lai, Yubo Fan, Yan Xu:
Nucleus-Aware Self-Supervised Pretraining Using Unpaired Image-to-Image Translation for Histopathology Images. IEEE Trans. Medical Imaging 43(1): 459-472 (2024) - [j32]Shuquan Ye, Yan Xu, Dongdong Chen, Songfang Han, Jing Liao:
Learning a Single Network for Robust Medical Image Segmentation With Noisy Labels. IEEE Trans. Medical Imaging 43(9): 3188-3199 (2024) - [c19]Sicong Shen, Yang Zhou, Bingzheng Wei, Eric I-Chao Chang, Yan Xu:
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning. CVPR 2024: 28474-28484 - [c18]Yang Zhou, Yongjian Wu, Jiya Saiyin, Bingzheng Wei, Maode Lai, Eric Chang, Yan Xu:
SDPT: Synchronous Dual Prompt Tuning for Fusion-Based Visual-Language Pre-trained Models. ECCV (49) 2024: 340-356 - [c17]Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
All-In-One Medical Image Restoration via Task-Adaptive Routing. MICCAI (7) 2024: 67-77 - [c16]Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Zhou, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
Region Attention Transformer for Medical Image Restoration. MICCAI (7) 2024: 603-613 - [i32]Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Yi, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
All-In-One Medical Image Restoration via Task-Adaptive Routing. CoRR abs/2405.19769 (2024) - [i31]Zhiwen Yang, Haowei Chen, Ziniu Qian, Yang Zhou, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
Region Attention Transformer for Medical Image Restoration. CoRR abs/2407.09268 (2024) - [i30]Zhiwen Yang, Hui Zhang, Dan Zhao, Bingzheng Wei, Yan Xu:
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV. CoRR abs/2407.11087 (2024) - [i29]Yang Zhou, Yongjian Wu, Jiya Saiyin, Bingzheng Wei, Maode Lai, Eric Chang, Yan Xu:
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models. CoRR abs/2407.11414 (2024) - [i28]Jiankai Sun, Aidan Curtis, Yang You, Yan Xu, Michael Koehle, Leonidas J. Guibas, Sachin Chitta, Mac Schwager, Hui Li:
Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly. CoRR abs/2409.16451 (2024) - [i27]Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yan Xu:
AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models. CoRR abs/2410.16820 (2024) - 2023
- [j31]Kailu Li, Ziniu Qian, Yingnan Han, Eric I-Chao Chang, Bingzheng Wei, Maode Lai, Jing Liao, Yubo Fan, Yan Xu:
Weakly supervised histopathology image segmentation with self-attention. Medical Image Anal. 86: 102791 (2023) - [j30]Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager:
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. IEEE Robotics Autom. Lett. 8(8): 5244-5250 (2023) - [j29]Hao Du, Qihua Dong, Yan Xu, Jing Liao:
Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity. IEEE Trans. Medical Imaging 42(10): 2936-2947 (2023) - [j28]Yang Zhou, Yongjian Wu, Zihua Wang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation. IEEE Trans. Medical Imaging 42(10): 3104-3116 (2023) - [c15]Qihua Dong, Hao Du, Ying Song, Yan Xu, Jing Liao:
Preserving Tumor Volumes for Unsupervised Medical Image Registration. ICCV 2023: 21151-21161 - [c14]Zhiwen Yang, Yang Zhou, Hui Zhang, Bingzheng Wei, Yubo Fan, Yan Xu:
DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis. MICCAI (3) 2023: 36-46 - [c13]Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models. MICCAI (6) 2023: 693-703 - [i26]Hao Du, Qihua Dong, Yan Xu, Jing Liao:
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity. CoRR abs/2302.02125 (2023) - [i25]Yang Zhou, Yongjian Wu, Zihua Wang, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation. CoRR abs/2306.02691 (2023) - [i24]Yongjian Wu, Yang Zhou, Jiya Saiyin, Bingzheng Wei, Maode Lai, Jianzhong Shou, Yubo Fan, Yan Xu:
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models. CoRR abs/2306.17659 (2023) - [i23]Zhiwen Yang, Yang Zhou, Hui Zhang, Bingzheng Wei, Yubo Fan, Yan Xu:
DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis. CoRR abs/2307.05249 (2023) - [i22]Zhiyun Song, Penghui Du, Junpeng Yan, Kailu Li, Jianzhong Shou, Maode Lai, Yubo Fan, Yan Xu:
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images. CoRR abs/2309.07394 (2023) - [i21]Qihua Dong, Hao Du, Ying Song, Yan Xu, Jing Liao:
Preserving Tumor Volumes for Unsupervised Medical Image Registration. CoRR abs/2309.10153 (2023) - 2022
- [j27]Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu:
3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis. IEEE Trans. Medical Imaging 41(8): 2092-2104 (2022) - [j26]Lin Ge, Xingyue Wei, Yayu Hao, Jianwen Luo, Yan Xu:
Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network. IEEE Trans. Medical Imaging 41(9): 2414-2431 (2022) - [c12]Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu:
Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation. MICCAI (2) 2022: 160-170 - [i20]Ziniu Qian, Kailu Li, Maode Lai, Eric I-Chao Chang, Bingzheng Wei, Yubo Fan, Yan Xu:
Transformer based multiple instance learning for weakly supervised histopathology image segmentation. CoRR abs/2205.08878 (2022) - [i19]Yang Zhou, Zhiwen Yang, Hui Zhang, Eric I-Chao Chang, Yubo Fan, Yan Xu:
3D Segmentation Guided Style-based Generative Adversarial Networks for PET Synthesis. CoRR abs/2205.08887 (2022) - [i18]Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Jingdong Wang, Liangjun Zhang, Mac Schwager:
NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. CoRR abs/2209.12068 (2022) - 2021
- [j25]Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu:
Whole brain segmentation with full volume neural network. Comput. Medical Imaging Graph. 93: 101991 (2021) - [c11]Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I-Chao Chang, Yan Xu:
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. ICLR 2021 - [i17]Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I-Chao Chang, Yan Xu:
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. CoRR abs/2103.10428 (2021) - [i16]Yeshu Li, Jonathan Cui, Yilun Sheng, Xiao Liang, Jingdong Wang, Eric I-Chao Chang, Yan Xu:
Whole Brain Segmentation with Full Volume Neural Network. CoRR abs/2110.15601 (2021) - 2020
- [j24]Shengyu Zhao, Ting Fung Lau, Ji Luo, Eric I-Chao Chang, Yan Xu:
Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network. IEEE J. Biomed. Health Informatics 24(5): 1394-1404 (2020) - [j23]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:
ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. IEEE Trans. Medical Imaging 39(10): 3042-3052 (2020) - [c10]Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu:
MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. CVPR 2020: 6277-6286 - [c9]Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. ISBI 2020: 169-173 - [c8]Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Microscopic Fine-Grained Instance Classification Through Deep Attention. MICCAI (5) 2020: 490-499 - [i15]Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu:
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask. CoRR abs/2003.10955 (2020) - [i14]Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Microscopic fine-grained instance classification through deep attention. CoRR abs/2010.02818 (2020)
2010 – 2019
- 2019
- [j22]Yipei Wang, Xingyu Fan, Luoxin Chen, Eric I-Chao Chang, Sophia Ananiadou, Junichi Tsujii, Yan Xu:
Mapping anatomical related entities to human body parts based on wikipedia in discharge summaries. BMC Bioinform. 20(1): 430:1-430:11 (2019) - [j21]Chunhui Liu, Xingyu Fan, Zhizhi Guo, Zhongjun Mo, Eric I-Chao Chang, Yan Xu:
Wound area measurement with 3D transformation and smartphone images. BMC Bioinform. 20(1): 724 (2019) - [j20]Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu:
Unsupervised Learning for Cell-Level Visual Representation in Histopathology Images With Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 23(3): 1316-1328 (2019) - [c7]Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu:
Recursive Cascaded Networks for Unsupervised Medical Image Registration. ICCV 2019: 10599-10609 - [i13]Ting Fung Lau, Ji Luo, Shengyu Zhao, Eric I-Chao Chang, Yan Xu:
Unsupervised 3D End-to-End Medical Image Registration with Volume Tweening Network. CoRR abs/1902.05020 (2019) - [i12]Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu:
Recursive Cascaded Networks for Unsupervised Medical Image Registration. CoRR abs/1907.12353 (2019) - 2018
- [j19]Xin Zhang, Weixuan Kou, Eric I-Chao Chang, He Gao, Yubo Fan, Yan Xu:
Sleep stage classification based on multi-level feature learning and recurrent neural networks via wearable device. Comput. Biol. Medicine 103: 71-81 (2018) - [j18]Huiwu Luo, Yuan Yan Tang, Robert P. Biuk-Aghai, Yan Xu, Lina Yang, Yi Wang:
Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 16(3): 1850016:1-1850016:29 (2018) - [j17]Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric I-Chao Chang:
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble. Signal Process. Image Commun. 60: 131-143 (2018) - [i11]Qianye Yang, Nannan Li, Zixu Zhao, Xingyu Fan, Eric I-Chao Chang, Yan Xu:
MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation. CoRR abs/1801.06940 (2018) - [i10]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:
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR abs/1807.08284 (2018) - 2017
- [j16]Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang:
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features. BMC Bioinform. 18(1): 281:1-281:17 (2017) - [j15]Yan Xu, Yeshu Li, Zhengyang Shen, Ziwei Wu, Teng Gao, Yubo Fan, Maode Lai, Eric I-Chao Chang:
Parallel multiple instance learning for extremely large histopathology image analysis. BMC Bioinform. 18(1): 360 (2017) - [j14]Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric I-Chao Chang:
Learning multi-level features for sensor-based human action recognition. Pervasive Mob. Comput. 40: 324-338 (2017) - [j13]Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang:
Gland Instance Segmentation Using Deep Multichannel Neural Networks. IEEE Trans. Biomed. Eng. 64(12): 2901-2912 (2017) - [j12]Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu:
Constrained Deep Weak Supervision for Histopathology Image Segmentation. IEEE Trans. Medical Imaging 36(11): 2376-2388 (2017) - [i9]Zhipeng Jia, Xingyi Huang, Eric I-Chao Chang, Yan Xu:
Constrained Deep Weak Supervision for Histopathology Image Segmentation. CoRR abs/1701.00794 (2017) - [i8]Xin Zhang, Weixuan Kou, Eric I-Chao Chang, He Gao, Yubo Fan, Yan Xu:
Sleep Stage Classification Based on Multi-level Feature Learning and Recurrent Neural Networks via Wearable Device. CoRR abs/1711.00629 (2017) - [i7]Siyuan Shan, Xiaoqing Guo, Wen Yan, Eric I-Chao Chang, Yubo Fan, Yan Xu:
Unsupervised End-to-end Learning for Deformable Medical Image Registration. CoRR abs/1711.08608 (2017) - [i6]Bo Hu, Ye Tang, Eric I-Chao Chang, Yubo Fan, Maode Lai, Yan Xu:
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks. CoRR abs/1711.11317 (2017) - 2016
- [c6]Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang:
Gland Instance Segmentation by Deep Multichannel Side Supervision. MICCAI (2) 2016: 496-504 - [i5]Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Maode Lai, Eric I-Chao Chang:
Gland Instance Segmentation by Deep Multichannel Side Supervision. CoRR abs/1607.03222 (2016) - [i4]Yan Xu, Yang Li, Mingyuan Liu, Yipei Wang, Yubo Fan, Maode Lai, Eric I-Chao Chang:
Gland Instance Segmentation by Deep Multichannel Neural Networks. CoRR abs/1607.04889 (2016) - [i3]Yan Xu, Siyuan Shan, Ziming Qiu, Zhipeng Jia, Zhengyang Shen, Yipei Wang, Mengfei Shi, Eric I-Chao Chang:
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance. CoRR abs/1611.06159 (2016) - [i2]Yan Xu, Yang Li, Yipei Wang, Mingyuan Liu, Yubo Fan, Maode Lai, Eric I-Chao Chang:
Gland Instance Segmentation Using Deep Multichannel Neural Networks. CoRR abs/1611.06661 (2016) - [i1]Yan Xu, Zhengyang Shen, Xin Zhang, Yifan Gao, Shujian Deng, Yipei Wang, Yubo Fan, Eric I-Chao Chang:
Learning Multi-level Features For Sensor-based Human Action Recognition. CoRR abs/1611.07143 (2016) - 2015
- [j11]Yan Xu, Luoxin Chen, Junsheng Wei, Sophia Ananiadou, Yubo Fan, Yi Qian, Eric I-Chao Chang, Jun'ichi Tsujii:
Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary. BMC Bioinform. 16: 149:1-149:10 (2015) - [j10]Yan Xu, Weiying Wu, Eric I-Chao Chang, Danny Ziyi Chen, Jian Mu, Peter P. Lee, Kim R. M. Blenman, Zhuowen Tu:
A two-layer structure prediction framework for microscopy cell detection. Comput. Medical Imaging Graph. 41: 29-36 (2015) - [j9]Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric I-Chao Chang, Zhuowen Tu:
Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. IEEE Trans. Pattern Anal. Mach. Intell. 37(4): 862-875 (2015) - [c5]Yan Xu, Zhipeng Jia, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang:
Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation. ICASSP 2015: 947-951 - 2014
- [j8]Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, Zhuowen Tu:
Weakly supervised histopathology cancer image segmentation and classification. Medical Image Anal. 18(3): 591-604 (2014) - [c4]Yan Xu, Tao Mo, Qiwei Feng, Peilin Zhong, Maode Lai, Eric I-Chao Chang:
Deep learning of feature representation with multiple instance learning for medical image analysis. ICASSP 2014: 1626-1630 - 2013
- [j7]Yan Xu, Yining Wang, Tianren Liu, Junichi Tsujii, Eric I-Chao Chang:
An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge. J. Am. Medical Informatics Assoc. 20(5): 849-858 (2013) - 2012
- [j6]Yan Xu, Guoyuan Liang, Guangshu Hu, Yan Yang, Jinzhao Geng, Punam K. Saha:
Quantification of coronary arterial stenoses in CTA using fuzzy distance transform. Comput. Medical Imaging Graph. 36(1): 11-24 (2012) - [j5]Yan Xu, Junichi Tsujii, Eric I-Chao Chang:
Named entity recognition of follow-up and time information in 20 000 radiology reports. J. Am. Medical Informatics Assoc. 19(5): 792-799 (2012) - [j4]Yan Xu, Kai Hong, Junichi Tsujii, Eric I-Chao Chang:
Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries. J. Am. Medical Informatics Assoc. 19(5): 824-832 (2012) - [j3]Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I-Chao Chang:
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge. J. Am. Medical Informatics Assoc. 19(5): 897-905 (2012) - [c3]Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Zhuowen Tu:
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. CVPR 2012: 964-971 - [c2]Yan Xu, Jianwen Zhang, Eric I-Chao Chang, Maode Lai, Zhuowen Tu:
Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. MICCAI (3) 2012: 623-630 - 2010
- [j2]Punam K. Saha, Yan Xu, Hong Duan, Anneliese Heiner, Guoyuan Liang:
Volumetric Topological Analysis: A Novel Approach for Trabecular Bone Classification on the Continuum Between Plates and Rods. IEEE Trans. Medical Imaging 29(11): 1821-1838 (2010)
2000 – 2009
- 2009
- [c1]Punam K. Saha, Yan Xu, Guoyuan Liang, Hong Duan:
Volumetric topological analysis: a novel method for trabecular bone characterization on the continuum between plates and rods. Image Processing 2009: 725950 - 2007
- [j1]Yan Xu, Hui Zhang, Hao Li, Guangshu Hu:
An improved algorithm for vessel centerline tracking in coronary angiograms. Comput. Methods Programs Biomed. 88(2): 131-143 (2007)
Coauthor Index
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