An improved algorithm for vessel centerline tracking in coronary angiograms. - Yan Xu 001; Hui Zhang; Hao Li; Guangshu Hu (Comput. Methods Programs Biomed., 2007)

Volumetric topological analysis: a novel method for trabecular bone characterization on the continuum between plates and rods. - Punam K. Saha; Yan Xu 001; Guoyuan Liang; Hong Duan (Image Processing, 2009)

Volumetric Topological Analysis: A Novel Approach for Trabecular Bone Classification on the Continuum Between Plates and Rods. - Punam K. Saha; Yan Xu 001; Hong Duan; Anneliese Heiner; Guoyuan Liang (IEEE Trans. Medical Imaging, 2010)

Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. - Yan Xu 001; Jun-Yan Zhu; Eric I-Chao Chang; Zhuowen Tu (CVPR, 2012)

Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. - Yan Xu 001; Jianwen Zhang; Eric I-Chao Chang; Maode Lai; Zhuowen Tu (MICCAI (3), 2012)

Quantification of coronary arterial stenoses in CTA using fuzzy distance transform. - Yan Xu 001; Guoyuan Liang; Guangshu Hu; Yan Yang; Jinzhao Geng; Punam K. Saha (Comput. Medical Imaging Graph., 2012)

Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries. - Yan Xu 001; Kai Hong; 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 001; Jiahua Liu; Jiajun Wu 001; Yue Wang 035; Zhuowen Tu; Jian-Tao Sun; Junichi Tsujii; Eric I-Chao Chang (J. Am. Medical Informatics Assoc., 2012)

Named entity recognition of follow-up and time information in 20 000 radiology reports. - Yan Xu 001; Junichi Tsujii; Eric I-Chao Chang (J. Am. Medical Informatics Assoc., 2012)

An end-to-end system to identify temporal relation in discharge summaries: 2012 i2b2 challenge. - Yan Xu 001; Yining Wang; Tianren Liu; Junichi Tsujii; Eric I-Chao Chang (J. Am. Medical Informatics Assoc., 2013)

Deep learning of feature representation with multiple instance learning for medical image analysis. - Yan Xu 001; Tao Mo; Qiwei Feng; Peilin Zhong; Maode Lai; Eric I-Chao Chang (ICASSP, 2014)

Weakly supervised histopathology cancer image segmentation and classification. - Yan Xu 001; Jun-Yan Zhu; Eric I-Chao Chang; Maode Lai; Zhuowen Tu (Medical Image Anal., 2014)

Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation. - Yan Xu 001; Zhipeng Jia; Yuqing Ai; Fang Zhang; Maode Lai; Eric I-Chao Chang (ICASSP, 2015)

Bilingual term alignment from comparable corpora in English discharge summary and Chinese discharge summary. - Yan Xu 001; Luoxin Chen; Junsheng Wei; Sophia Ananiadou; Yubo Fan; Yi Qian; Eric I-Chao Chang; Jun'ichi Tsujii (BMC Bioinform., 2015)

A two-layer structure prediction framework for microscopy cell detection. - Yan Xu 001; 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)

Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning. - Jun-Yan Zhu; Jiajun Wu 001; Yan Xu 001; Eric I-Chao Chang; Zhuowen Tu (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Gland Instance Segmentation by Deep Multichannel Side Supervision. - Yan Xu 001; Yang Li 075; Mingyuan Liu 002; Yipei Wang; Maode Lai; Eric I-Chao Chang (MICCAI (2), 2016)

Gland Instance Segmentation by Deep Multichannel Neural Networks. - Yan Xu 001; Yang Li 075; Mingyuan Liu 002; Yipei Wang; Yubo Fan; Maode Lai; Eric I-Chao Chang (CoRR, 2016)

End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance. - Yan Xu 001; Siyuan Shan; Ziming Qiu; Zhipeng Jia; Zhengyang Shen; Yipei Wang; Mengfei Shi; Eric I-Chao Chang (CoRR, 2016)

Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features. - Yan Xu 001; Zhipeng Jia; Liang-Bo Wang; Yuqing Ai; Fang Zhang; Maode Lai; Eric I-Chao Chang (BMC Bioinform., 2017)

Parallel multiple instance learning for extremely large histopathology image analysis. - Yan Xu 001; Yeshu Li; Zhengyang Shen; Ziwei Wu; Teng Gao; Yubo Fan; Maode Lai; Eric I-Chao Chang (BMC Bioinform., 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 001 (CoRR, 2017)

Learning multi-level features for sensor-based human action recognition. - Yan Xu 001; Zhengyang Shen; Xin Zhang; Yifan Gao 001; Shujian Deng; Yipei Wang; Yubo Fan; Eric I-Chao Chang (Pervasive Mob. Comput., 2017)

Gland Instance Segmentation Using Deep Multichannel Neural Networks. - Yan Xu 001; Yang Li 075; Yipei Wang; Mingyuan Liu 002; Yubo Fan; Maode Lai; Eric I-Chao Chang (IEEE Trans. Biomed. Eng., 2017)

Constrained Deep Weak Supervision for Histopathology Image Segmentation. - Zhipeng Jia; Xingyi Huang; Eric I-Chao Chang; Yan Xu 001 (IEEE Trans. Medical Imaging, 2017)

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 001 (Comput. Biol. Medicine, 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 001 (CoRR, 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; et al. (CoRR, 2018)

Wavelet-based extended morphological profile and deep autoencoder for hyperspectral image classification. - Huiwu Luo; Yuan Yan Tang; Robert P. Biuk-Aghai; Yan Xu 001; Lina Yang; Yi Wang 074 (Int. J. Wavelets Multiresolution Inf. Process., 2018)

End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble. - Yan Xu 001; Siyuan Shan; Ziming Qiu; Zhipeng Jia; Zhengyang Shen; Yipei Wang; Mengfei Shi; Eric I-Chao Chang (Signal Process. Image Commun., 2018)

Recursive Cascaded Networks for Unsupervised Medical Image Registration. - Shengyu Zhao; Yue Dong; Eric I-Chao Chang; Yan Xu 001 (ICCV, 2019)

Wound area measurement with 3D transformation and smartphone images. - Chunhui Liu; Xingyu Fan; Zhizhi Guo; Zhongjun Mo; Eric I-Chao Chang; Yan Xu 001 (BMC Bioinform., 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 001 (BMC Bioinform., 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 001 (IEEE J. Biomed. Health Informatics, 2019)

MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. - Shengyu Zhao; Yilun Sheng; Yue Dong; Eric I-Chao Chang; Yan Xu 001 (CVPR, 2020)

Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. - Mengran Fan; Tapabrata Chakraborti; Eric I-Chao Chang; Yan Xu 001; Jens Rittscher (ISBI, 2020)

Microscopic Fine-Grained Instance Classification Through Deep Attention. - Mengran Fan; Tapabrata Chakraborti; Eric I-Chao Chang; Yan Xu 001; Jens Rittscher (MICCAI (5), 2020)

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network. - Shengyu Zhao; Ting Fung Lau; Ji Luo 002; Eric I-Chao Chang; Yan Xu 001 (IEEE J. Biomed. Health Informatics, 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 002; et al. (IEEE Trans. Medical Imaging, 2020)

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 001 (ICLR, 2021)

Whole brain segmentation with full volume neural network. - Yeshu Li; Jonathan Cui; Yilun Sheng; Xiao Liang; Jingdong Wang 001; Eric I-Chao Chang; Yan Xu 001 (Comput. Medical Imaging Graph., 2021)

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 001 (MICCAI (2), 2022)

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. - Jiankai Sun; Yan Xu 001; Mingyu Ding; Hongwei Yi; Jingdong Wang 001; Liangjun Zhang; Mac Schwager (CoRR, 2022)

Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network. - Lin Ge; Xingyue Wei; Yayu Hao; Jianwen Luo 001; Yan Xu 001 (IEEE Trans. Medical Imaging, 2022)

3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis. - Yang Zhou 036; Zhiwen Yang 001; Hui Zhang; Eric I-Chao Chang; Yubo Fan; Yan Xu 001 (IEEE Trans. Medical Imaging, 2022)

Preserving Tumor Volumes for Unsupervised Medical Image Registration. - Qihua Dong; Hao Du 006; Ying Song; Yan Xu 001; Jing Liao 001 (ICCV, 2023)

Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models. - Yongjian Wu 002; Yang Zhou 036; Jiya Saiyin; Bingzheng Wei; Maode Lai; Jianzhong Shou; Yubo Fan; Yan Xu 001 (MICCAI (6), 2023)

DRMC: A Generalist Model with Dynamic Routing for Multi-center PET Image Synthesis. - Zhiwen Yang 001; Yang Zhou 036; Hui Zhang; Bingzheng Wei; Yubo Fan; Yan Xu 001 (MICCAI (3), 2023)

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields. - Jiankai Sun; Yan Xu 001; Mingyu Ding; Hongwei Yi; Chen Wang 053; Jingdong Wang 001; Liangjun Zhang; Mac Schwager (IEEE Robotics Autom. Lett., 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 001; Yubo Fan; Yan Xu 001 (Medical Image Anal., 2023)

Weakly-Supervised 3D Medical Image Segmentation Using Geometric Prior and Contrastive Similarity. - Hao Du 006; Qihua Dong; Yan Xu 001; Jing Liao 001 (IEEE Trans. Medical Imaging, 2023)

Cyclic Learning: Bridging Image-Level Labels and Nuclei Instance Segmentation. - Yang Zhou 036; Yongjian Wu 002; Zihua Wang; Bingzheng Wei; Maode Lai; Jianzhong Shou; Yubo Fan; Yan Xu 001 (IEEE Trans. Medical Imaging, 2023)

Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning. - Sicong Shen; Yang Zhou 036; Bingzheng Wei; Eric I-Chao Chang; Yan Xu 001 (CVPR, 2024)

SDPT: Synchronous Dual Prompt Tuning for Fusion-Based Visual-Language Pre-trained Models. - Yang Zhou 036; Yongjian Wu 002; Jiya Saiyin; Bingzheng Wei; Maode Lai; Eric Chang; Yan Xu 001 (ECCV (49), 2024)

All-In-One Medical Image Restoration via Task-Adaptive Routing. - Zhiwen Yang 001; Haowei Chen; Ziniu Qian; Yang Yi; Hui Zhang; Dan Zhao; Bingzheng Wei; Yan Xu 001 (MICCAI (7), 2024)

Region Attention Transformer for Medical Image Restoration. - Zhiwen Yang 001; Haowei Chen; Ziniu Qian; Yang Zhou 036; Hui Zhang; Dan Zhao; Bingzheng Wei; Yan Xu 001 (MICCAI (7), 2024)

Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV. - Zhiwen Yang 001; Hui Zhang; Dan Zhao; Bingzheng Wei; Yan Xu 001 (CoRR, 2024)

Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly. - Jiankai Sun; Aidan Curtis; Yang You 004; Yan Xu 001; Michael Koehle; Leonidas J. Guibas; Sachin Chitta; Mac Schwager; Hui Li (CoRR, 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 001 (IEEE Trans. Medical Imaging, 2024)

MSNSegNet: attention-based multi-shape nuclei instance segmentation in histopathology images. - Ziniu Qian; Zihua Wang; Xin Zhang; Bingzheng Wei; Maode Lai; Jianzhong Shou; Yubo Fan; Yan Xu 001 (Medical Biol. Eng. Comput., 2024)

Learning a Single Network for Robust Medical Image Segmentation With Noisy Labels. - Shuquan Ye; Yan Xu 001; Dongdong Chen 001; Songfang Han; Jing Liao 001 (IEEE Trans. Medical Imaging, 2024)

Unsupervised Non-Rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features With Iterative Training. - Xingyue Wei; Lin Ge; Lijie Huang; Jianwen Luo 001; Yan Xu 001 (IEEE Trans. Medical Imaging, 2025)

AttriPrompter: Auto-Prompting With Attribute Semantics for Zero-Shot Nuclei Detection via Visual-Language Pre-Trained Models. - Yongjian Wu 002; Yang Zhou 036; Jiya Saiyin; Bingzheng Wei; Maode Lai; Jianzhong Shou; Yan Xu 001 (IEEE Trans. Medical Imaging, 2025)

FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation. - Huihan Wang; Zhiwen Yang 001; Hui Zhang; Dan Zhao; Bingzheng Wei; Yan Xu 001 (CoRR, 2025)

Visual Textualization for Image Prompted Object Detection. - Yongjian Wu 002; Yang Zhou 036; Jiya Saiyin; Bingzheng Wei; Yan Xu 001 (CoRR, 2025)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior. - Haowei Chen; Zhiwen Yang 001; Haotian Hou; Hui Zhang; Bingzheng Wei; Gang Zhou; Yan Xu 001 (CoRR, 2025)