Xiaosong Wang

发表

Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition

Ronald M. Summers, Jianhua Yao, Mohammadhadi Bagheri, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database pdf

Ronald M. Summers, Jianhua Yao, Le Lu, 2016, ArXiv.

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.

Ziyue Xu, S. Harmon, Xiaosong Wang, 2020, Diagnostic and interventional radiology.

A SIFT Tool

Xiaosong Wang, 2006 .

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Method and system of building hospital-scale chest x-ray database for entity extraction and weakly-supervised classification and localization of common thorax diseases

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2018 .

Text Mining Radiology Reports for Deep Learning Radiology Images

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2017, AMIA.

DeepLesion : a Diverse and Large-scale Database of Significant Radiology Image Findings

Le Lu, R. Summers, Xiaosong Wang, 2018 .

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Daguang Xu, Bradford J. Wood, Ling Zhang, 2020, IEEE Transactions on Medical Imaging.

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

Xiaosong Wang, Gustavo Carneiro, Le Lu, 2019, Advances in Computer Vision and Pattern Recognition.

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan pdf

Bradford J. Wood, Xiaosong Wang, Dong Yang, 2020, Medical Image Analysis.

DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning

Le Lu, Ke Yan, Ronald M Summers, 2018, Journal of medical imaging.

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2017, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Deep learning in medical imaging and radiation therapy.

Berkman Sahiner, Lubomir M. Hadjiiski, Karen Drukker, 2018, Medical physics.

Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs

Ronald M. Summers, Yifan Peng, Zhiyong Lu, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Archive Film Defect Detection and Removal: An Automatic Restoration Framework

Majid Mirmehdi, Xiaosong Wang, M. Mirmehdi, 2012, IEEE Transactions on Image Processing.

Archive Film Restoration Based on Spatiotemporal Random Walks

Majid Mirmehdi, Xiaosong Wang, M. Mirmehdi, 2010, ECCV.

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays pdf

Daguang Xu, Ziyue Xu, Leo K. Tam, 2021, ArXiv.

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

S. Harmon, H. Roth, E. Turkbey, 2020, Medical Image Analysis.

HMM based Archive Film Defect Detection with Spatial and Temporal Constraints

Majid Mirmehdi, Xiaosong Wang, M. Mirmehdi, 2009, British Machine Vision Conference.

Multi-Domain Image Completion for Random Missing Input Data

Daguang Xu, Xiaosong Wang, Wentao Zhu, 2020, IEEE Transactions on Medical Imaging.

Going to Extremes: Weakly Supervised Medical Image Segmentation pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, Mach. Learn. Knowl. Extr..

DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations pdf

Ronald M. Summers, Le Lu, Ke Yan, 2017, ArXiv.

Spatial-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data

Ronald M. Summers, Ling Zhang, Jianhua Yao, 2019, ArXiv.

When Radiology Report Generation Meets Knowledge Graph pdf

Daguang Xu, Xiaosong Wang, Qihang Yu, 2020, AAAI.

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs

Yuxing Tang, Jing Xiao, Ronald M. Summers, 2018, MLMI@MICCAI.

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation pdf

Dong Yang, Thomas Sanford, Daguang Xu, 2019, ArXiv.

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images

Ronald M. Summers, Nathan Lay, Holger Roth, 2016, MICCAI.

Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Ronald M. Summers, Ling Zhang, Adam P. Harrison, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Text mining and deep learning for disease classification

Xiaosong Wang, Lin Yang, Zizhao Zhang, 2020 .

Exploring Data Redundancy in Real-world Image Classification through Data Selection

Xiaosong Wang, Shaoting Zhang, Zhenyu Tang, 2023, ArXiv.

A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification

Dequan Wang, Xiaosong Wang, Jie Zhao, 2023, Scientific data.

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

S. Harmon, H. Roth, E. Turkbey, 2021, Medical Image Analysis.

Text-guided Foundation Model Adaptation for Pathological Image Classification

Xiaosong Wang, Dequan Wang, Y. Qiao, 2023, ArXiv.

RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data

Le Lu, Xiaosong Wang, Xiang Chen, 2022, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Learning Image Labels On-the-fly for Training Robust Classification Models pdf

Dong Yang, Daguang Xu, Xiaosong Wang, 2020, ArXiv.

Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies pdf

Daguang Xu, Xiaosong Wang, Yuhong Wen, 2020, MICCAI.

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, GLMI@MICCAI.

ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Le Lu, Xiaosong Wang, M. Bagheri, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

Daguang Xu, Xiaosong Wang, Ling Zhang, 2019, SASHIMI@MICCAI.

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI

Ronald M. Summers, Nathan Lay, Jin Tae Kwak, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images

Ronald M. Summers, Jin Tae Kwak, Baris Turkbey, 2017, Medical Imaging.

Infrared Image Brightness Correction for TIR Object Tracking

Xiaosong Wang, Haiying Wang, Chao Tian, 2021, 2021 7th International Conference on Computer and Communications (ICCC).