HMM based Archive Film Defect Detection with Spatial and Temporal Constraints. - Xiaosong Wang 001; Majid Mirmehdi (BMVC, 2009)

Archive film defect detection based on a hidden Markov model. - Xiaosong Wang 001; Majid Mirmehdi (WIAMIS, 2009)

Archive Film Restoration Based on Spatiotemporal Random Walks. - Xiaosong Wang 001; Majid Mirmehdi (ECCV (5), 2010)

Archive Film Defect Detection and Removal: An Automatic Restoration Framework. - Xiaosong Wang 001; Majid Mirmehdi (IEEE Trans. Image Process., 2012)

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. - Isabella Nogues; Le Lu 001; Xiaosong Wang 001; Holger Roth; Gedas Bertasius; Nathan Lay; Jianbo Shi; Yohannes Tsehay; Ronald M. Summers (MICCAI (2), 2016)

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. - Xiaosong Wang 001; Le Lu 001; Hoo-Chang Shin; Lauren Kim; Isabella Nogues; Jianhua Yao 001; Ronald M. Summers (CoRR, 2016)

Text Mining Radiology Reports for Deep Learning Radiology Images. - Yifan Peng 002; Xiaosong Wang 001; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Zhiyong Lu (AMIA, 2017)

ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Mohammadhadi Bagheri; Ronald M. Summers (CVPR, 2017)

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. - Yohannes Tsehay; Nathan Lay; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (ISBI, 2017)

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. - Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. - Xiaosong Wang 001; Le Lu 001; Hoo-Chang Shin; Lauren Kim; Mohammadhadi Bagheri; Isabella Nogues; Jianhua Yao 001; Ronald M. Summers (WACV, 2017)

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ronald M. Summers (CoRR, 2017)

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. - Yifan Peng 002; Xiaosong Wang 001; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Zhiyong Lu (CoRR, 2017)

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Ronald M. Summers (CVPR, 2018)

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ling Zhang 002; Adam P. Harrison; Mohammadhadi Bagheri; Ronald M. Summers (CVPR, 2018)

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. - Yuxing Tang; Xiaosong Wang 001; Adam P. Harrison; Le Lu 001; Jing Xiao 006; Ronald M. Summers (MLMI@MICCAI, 2018)

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Mohammadhadi Bagheri; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. - Xiaosong Wang 001; Yifan Peng 002; Le Lu 001; Zhiyong Lu; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. - Ke Yan 006; Xiaosong Wang 001; Le Lu 001; Ling Zhang 002; Adam P. Harrison; Mohammadhadi Bagheri; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Weakly Supervised Segmentation from Extreme Points. - Holger Roth; Ling Zhang 002; Dong Yang 005; Fausto Milletari; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. - Xiaosong Wang 001; Ling Zhang 002; Holger Roth; Daguang Xu; Ziyue Xu 001 (GLMI@MICCAI, 2019)

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Holger Roth; Dong Yang 005; Fausto Milletari; Ling Zhang 002; Daguang Xu (SASHIMI@MICCAI, 2019)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 2019)

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (CoRR, 2019)

When Radiology Report Generation Meets Knowledge Graph. - Yixiao Zhang 001; Xiaosong Wang 001; Ziyue Xu 001; Qihang Yu; Alan L. Yuille; Daguang Xu (AAAI, 2020)

Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. - Leo K. Tam; Xiaosong Wang 001; Evrim Turkbey; Kevin Lu; Yuhong Wen; Daguang Xu (MICCAI (4), 2020)

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (MIDL, 2020)

Enhancing Foreground Boundaries for Medical Image Segmentation. - Dong Yang 005; Holger Roth; Xiaosong Wang 001; Ziyue Xu 001; Andriy Myronenko; Daguang Xu (CoRR, 2020)

Learning Image Labels On-the-fly for Training Robust Classification Models. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (CoRR, 2020)

Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19. - Leo K. Tam; Xiaosong Wang 001; Daguang Xu (CoRR, 2020)

Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. - Ling Zhang 002; Le Lu 001; Xiaosong Wang 001; Robert Zhu; Mohammadhadi Bagheri; Ronald M. Summers; Jianhua Yao 001 (IEEE Trans. Medical Imaging, 2020)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 2020)

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. - Dong Yang 005; Andriy Myronenko; Xiaosong Wang 001; Ziyue Xu 001; Holger R. Roth; Daguang Xu (ICCV, 2021)

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. - Riddhish Bhalodia; Ali Hatamizadeh; Leo K. Tam; Ziyue Xu 001; Xiaosong Wang 001; Evrim Turkbey; Daguang Xu (MICCAI (2), 2021)

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Holger R. Roth; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Wentao Zhu 001; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (MICCAI (3), 2021)

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. - Xiaosong Wang 001; Ziyue Xu 001; Leo K. Tam; Dong Yang 005; Daguang Xu (CoRR, 2021)

Going to Extremes: Weakly Supervised Medical Image Segmentation. - Holger R. Roth; Dong Yang 005; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (Mach. Learn. Knowl. Extr., 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

Multi-Domain Image Completion for Random Missing Input Data. - Liyue Shen; Wentao Zhu 001; Xiaosong Wang 001; Lei Xing 001; John M. Pauly; Baris Turkbey; Stephanie Anne Harmon; Thomas Hogue Sanford; Sherif Mehralivand; Peter L. Choyke; Bradford J. Wood; Daguang Xu (IEEE Trans. Medical Imaging, 2021)

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. - Jing Xu; Yuan Gao 017; Wei Liu 127; Kai Huang 008; Shuang Zhao; Le Lu 001; Xiaosong Wang 001; Xian-Sheng Hua 001; Yu Wang 108; Xiang Chen (MICCAI (3), 2022)

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. - Ziyue Xu 001; Andriy Myronenko; Dong Yang 005; Holger R. Roth; Can Zhao 001; Xiaosong Wang 001; Daguang Xu (MICCAI (2), 2022)

Text-Guided Foundation Model Adaptation for Pathological Image Classification. - Yunkun Zhang; Jin Gao; Mu Zhou; Xiaosong Wang 001; Yu Qiao 001; Shaoting Zhang 001; Dequan Wang (MICCAI (5), 2023)

MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. - Dequan Wang; Xiaosong Wang 001; Lilong Wang; Mengzhang Li; Qian Da; Xiaoqiang Liu; Xiangyu Gao; Jun Shen; Junjun He; Tian Shen; Qi Duan; Jie Zhao 014; et al. (CoRR, 2023)

Exploring Data Redundancy in Real-world Image Classification through Data Selection. - Zhenyu Tang 005; Shaoting Zhang 001; Xiaosong Wang 001 (CoRR, 2023)

Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation. - Lijian Xu; Ziyu Ni; Xinglong Liu; Xiaosong Wang 001; Hongsheng Li 001; Shaoting Zhang 001 (CoRR, 2023)

Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification. - Linhao Qu; Dingkang Yang; Dan Huang; Qinhao Guo; Rongkui Luo; Shaoting Zhang 001; Xiaosong Wang 001 (ECCV (11), 2024)

Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. - Shiyi Du; Xiaosong Wang 001; Yongyi Lu; Yuyin Zhou; Shaoting Zhang 001; Alan L. Yuille; Kang Li 004; Zongwei Zhou (ISBI, 2024)

Dual-Perspective Label Smoothing for Accurate Tumor Segmentation. - Lilong Wang; Xuan Wang; Yali Xu; Xiangan Wu; Shunda Du; Shaoting Zhang 001; Qiang Sun; Xiaosong Wang 001 (ISBI, 2024)

Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. - Linhao Qu; Dan Huang; Shaoting Zhang 001; Xiaosong Wang 001 (MICCAI (5), 2024)

BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. - Lilong Wang; Mianxin Liu; Shaoting Zhang 001; Xiaosong Wang 001 (MICCAI (2), 2024)

Learning Quality Labels for Robust Image Classification. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (WACV, 2024)

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. - Xiaosong Wang 001; Xiaofan Zhang 002; Guotai Wang; Junjun He; Zhongyu Li 002; Wentao Zhu 001; Yi Guo 002; Qi Dou 001; Xiaoxiao Li; Dequan Wang; Liang Hong; Qicheng Lao; et al. (CoRR, 2024)

Cost-effective Instruction Learning for Pathology Vision and Language Analysis. - Kaitao Chen; Mianxin Liu; Fang Yan 002; Lei Ma 006; Xiaoming Shi; Lilong Wang; Xiaosong Wang 001; Lifeng Zhu; Zhe Wang 043; Mu Zhou; Shaoting Zhang 001 (CoRR, 2024)

BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI. - Shaohao Rui; Lingzhi Chen; Zhenyu Tang 005; Lilong Wang; Mianxin Liu; Shaoting Zhang 001; Xiaosong Wang 001 (CoRR, 2024)

Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models. - Yankai Jiang 003; Peng Zhang; Donglin Yang; Yuan Tian 017; Hai Lin; Xiaosong Wang 001 (CVPR, 2025)

Multi-modal Vision Pre-training for Medical Image Analysis. - Shaohao Rui; Lingzhi Chen; Zhenyu Tang 005; Lilong Wang; Mianxin Liu; Shaoting Zhang 001; Xiaosong Wang 001 (CVPR, 2025)

Towards All-in-One Medical Image Re-Identification. - Yuan Tian 017; Kaiyuan Ji; Rongzhao Zhang; Yankai Jiang 003; Chunyi Li; Xiaosong Wang 001; Guangtao Zhai (CVPR, 2025)

From screens to scenes: A survey of embodied AI in healthcare. - Yihao Liu; Xu Cao; Wei-Ting Chen; Yankai Jiang 003; Junjie You; Minghua Wu; Xiaosong Wang 001; Mengling Feng; Yaochu Jin; Jintai Chen (Inf. Fusion, 2025)

Editorial for Special Issue on Foundation Models for Medical Image Analysis. - Xiaosong Wang 001; Dequan Wang; Xiaoxiao Li; Jens Rittscher; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2025)

From Screens to Scenes: A Survey of Embodied AI in Healthcare. - Yihao Liu; Xu Cao; Tingting Chen 002; Yankai Jiang 003; Junjie You; Minghua Wu; Xiaosong Wang 001; Mengling Feng; Yaochu Jin; Jintai Chen (CoRR, 2025)

Graph Mamba for Efficient Whole Slide Image Understanding. - Jiaxuan Lu; Junyan Shi; Yuhui Lin; Fang Yan 002; Yue Gao 002; Shaoting Zhang 001; Xiaosong Wang 001 (CoRR, 2025)

Enhancing Step-by-Step and Verifiable Medical Reasoning in MLLMs. - Haoran Sun; Yankai Jiang 003; Wenjie Lou; Yujie Zhang; Wenjie Li; Lilong Wang; Mianxin Liu; Lei Liu; Xiaosong Wang 001 (CoRR, 2025)

Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification. - Yuan Tian 017; Shuo Wang; Rongzhao Zhang; Zijian Chen 001; Yankai Jiang 003; Chunyi Li; Xiangyang Zhu; Fang Yan 002; Qiang Hu 003; Xiaosong Wang 001; Guangtao Zhai (CoRR, 2025)

Cost-effective instruction learning for pathology vision and language analysis. - Kaitao Chen; Mianxin Liu; Fang Yan 002; Lei Ma 008; Xiaoming Shi; Lilong Wang; Xiaosong Wang 001; Lifeng Zhu; Zhe Wang 043; Mu Zhou; Shaoting Zhang 001 (Nat. Comput. Sci., 2025)

Mediator-Guided Multi-Agent Collaboration among Open-Source Models for Medical Decision-Making. - Kaitao Chen; Mianxin Liu; Daoming Zong; Chaoyue Ding; Shaohao Rui; Yankai Jiang 003; Mu Zhou; Xiaosong Wang 001 (CoRR, 2025)