Xiaosong Wang - RankMe

90 papers A* 8A 3Misc 1Journal 53Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in Pathology. CoRR Haoyang Su, Shaoting Zhang, Xiaosong Wang
2026	J	`jnl`	SCALAR: Spatial-concept alignment for robust vision in harsh open world. Pattern Recognit. Xiaoyu Yang, Lijian Xu, Xingyu Zeng, Xiaosong Wang, Hongsheng Li, Shaoting Zhang
2025	A*	`conf`	Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models. CVPR Yankai Jiang, Peng Zhang, Donglin Yang, Yuan Tian, Hai Lin, Xiaosong Wang
2025	J	`jnl`	Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models. CoRR Yankai Jiang, Peng Zhang, Donglin Yang, Yuan Tian, Hai Lin, Xiaosong Wang
2025	J	`jnl`	Cost-effective instruction learning for pathology vision and language analysis. Nat. Comput. Sci. Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang
2025	J	`jnl`	Editorial for Special Issue on Foundation Models for Medical Image Analysis. Medical Image Anal. Xiaosong Wang, Dequan Wang, Xiaoxiao Li, Jens Rittscher, Dimitris N. Metaxas, Shaoting Zhang
2025	J	`jnl`	Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs. CoRR Haoran Sun, Yankai Jiang, Wenjie Lou, Yujie Zhang, Wenjie Li, Lilong Wang, Mianxin Liu, Lei Liu, Xiaosong Wang
2025	J	`jnl`	From Screens to Scenes: A Survey of Embodied AI in Healthcare. CoRR Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	J	`jnl`	From screens to scenes: A survey of embodied AI in healthcare. Inf. Fusion Yihao Liu, Xu Cao, Wei-Ting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	J	`jnl`	Graph Mamba for Efficient Whole Slide Image Understanding. CoRR Jiaxuan Lu, Junyan Shi, Yuhui Lin, Fang Yan, Yue Gao, Shaoting Zhang, Xiaosong Wang
2025	J	`jnl`	InvCoSS: Inversion-driven Continual Self-supervised Learning in Medical Multi-modal Image Pre-training. CoRR Zihao Luo, Shaohao Rui, Zhenyu Tang, Guotai Wang, Xiaosong Wang
2025	J	`jnl`	Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making. CoRR Kaitao Chen, Mianxin Liu, Daoming Zong, Chaoyue Ding, Shaohao Rui, Yankai Jiang, Mu Zhou, Xiaosong Wang
2025	A*	`conf`	Multi-modal Vision Pre-training for Medical Image Analysis. CVPR Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang
2025	J	`jnl`	Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification. CoRR Yuan Tian, Shuo Wang, Rongzhao Zhang, Zijian Chen, Yankai Jiang, Chunyi Li, Xiangyang Zhu, Fang Yan, Qiang Hu, Xiaosong Wang, Guangtao Zhai
2025	J	`jnl`	Think Twice to See More: Iterative Visual Reasoning in Medical VLMs. CoRR Kaitao Chen, Shaohao Rui, Yankai Jiang, Jiamin Wu, Qihao Zheng, Chunfeng Song, Xiaosong Wang, Mu Zhou, Mianxin Liu
2025	A*	`conf`	Towards All-in-One Medical Image Re-Identification. CVPR Yuan Tian, Kaiyuan Ji, Rongzhao Zhang, Yankai Jiang, Chunyi Li, Xiaosong Wang, Guangtao Zhai
2025	J	`jnl`	Towards All-in-One Medical Image Re-Identification. CoRR Yuan Tian, Kaiyuan Ji, Rongzhao Zhang, Yankai Jiang, Chunyi Li, Xiaosong Wang, Guangtao Zhai
2024	—	`conf`	Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. ISBI Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou
2024	J	`jnl`	BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI. CoRR Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang
2024	—	`conf`	BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. MICCAI (2) Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang
2024	J	`jnl`	Cost-effective Instruction Learning for Pathology Vision and Language Analysis. CoRR Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang
2024	—	`conf`	Dual-Perspective Label Smoothing for Accurate Tumor Segmentation. ISBI Lilong Wang, Xuan Wang, Yali Xu, Xiangan Wu, Shunda Du, Shaoting Zhang, Qiang Sun, Xiaosong Wang
2024	A	`conf`	Learning Quality Labels for Robust Image Classification. WACV Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
2024	—	`conf`	Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. MICCAI (5) Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang
2024	J	`jnl`	Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. CoRR Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang
2024	J	`jnl`	OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang
2024	—	`conf`	Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification. ECCV (11) Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang
2024	J	`jnl`	Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification. CoRR Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang
2023	J	`jnl`	Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts. CoRR Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou
2023	J	`jnl`	Exploring Data Redundancy in Real-world Image Classification through Data Selection. CoRR Zhenyu Tang, Shaoting Zhang, Xiaosong Wang
2023	J	`jnl`	Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation. CoRR Lijian Xu, Ziyu Ni, Xinglong Liu, Xiaosong Wang, Hongsheng Li, Shaoting Zhang
2023	J	`jnl`	MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. CoRR Dequan Wang, Xiaosong Wang, Lilong Wang, Mengzhang Li, Qian Da, Xiaoqiang Liu, Xiangyu Gao, Jun Shen, Junjun He, Tian Shen, Qi Duan, Jie Zhao, Kang Li, Yu Qiao, Shaoting Zhang
2023	—	`conf`	Text-Guided Foundation Model Adaptation for Pathological Image Classification. MICCAI (5) Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
2023	J	`jnl`	Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang
2022	—	`conf`	Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu
2022	—	`conf`	RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. MICCAI (3) Jing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua, Yu Wang, Xiang Chen
2021	—	`conf`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	—	`conf`	Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. MICCAI (2) Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
2021	J	`jnl`	Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. CoRR Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
2021	J	`jnl`	Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. CoRR Xiaosong Wang, Ziyue Xu, Leo K. Tam, Dong Yang, Daguang Xu
2021	A*	`conf`	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
2021	J	`jnl`	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
2020	—	`conf`	Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2020	J	`jnl`	Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu
2020	J	`jnl`	Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2020	J	`jnl`	Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2020	J	`jnl`	Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
2020	J	`jnl`	Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
2020	J	`jnl`	Multi-Domain Image Completion for Random Missing Input Data. CoRR Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu
2020	J	`jnl`	Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao
2020	J	`jnl`	Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19. CoRR Leo K. Tam, Xiaosong Wang, Daguang Xu
2020	—	`conf`	Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. MICCAI (4) Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu
2020	J	`jnl`	Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies. CoRR Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu
2020	A*	`conf`	When Radiology Report Generation Meets Knowledge Graph. AAAI Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
2020	J	`jnl`	When Radiology Report Generation Meets Knowledge Graph. CoRR Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
2019	—	`ch.`	Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
2019	—	`ch.`	ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2019	J	`jnl`	Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`book`	Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang
2019	—	`ch.`	Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2019	—	`conf`	Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
2019	—	`conf`	Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019	J	`jnl`	Weakly supervised segmentation from extreme points. CoRR Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019	J	`jnl`	When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2018	—	`conf`	Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. MLMI@MICCAI Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers
2018	J	`jnl`	Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. CoRR Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers
2018	A*	`conf`	Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2018	A*	`conf`	TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
2018	J	`jnl`	TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. CoRR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers
2017	—	`conf`	Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017	A*	`conf`	ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2017	J	`jnl`	ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CoRR Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers
2017	—	`conf`	Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017	J	`jnl`	Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. CoRR Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2017	J	`jnl`	DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations. CoRR Ke Yan, Xiaosong Wang, Le Lu, Ronald M. Summers
2017	J	`jnl`	NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. CoRR Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu
2017	Misc	`conf`	Text Mining Radiology Reports for Deep Learning Radiology Images. AMIA Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu
2017	A	`conf`	Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2017	J	`jnl`	Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2016	—	`conf`	Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers
2016	J	`jnl`	Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers
2012	J	`jnl`	Archive Film Defect Detection and Removal: An Automatic Restoration Framework. IEEE Trans. Image Process. Xiaosong Wang, Majid Mirmehdi
2010	—	`conf`	Archive Film Restoration Based on Spatiotemporal Random Walks. ECCV (5) Xiaosong Wang, Majid Mirmehdi
2009	—	`conf`	Archive film defect detection based on a hidden Markov model. WIAMIS Xiaosong Wang, Majid Mirmehdi
2009	A	`conf`	HMM based Archive Film Defect Detection with Spatial and Temporal Constraints. BMVC Xiaosong Wang, Majid Mirmehdi