Wang, Xiaosong
- DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
2017/10/04 by Ke Yan, Xiaosong Wang, Yan, Ke +5 · 1 voice · 3 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- When Radiology Report Generation Meets Knowledge Graph
2020/02/19 by Zhang, Yixiao, Wang, Xiaosong, Xu, Ziyue +3 · 9 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays
2018/01/12 by Xiaosong Wang, Yifan Peng, Wang, Xiaosong +7 · 7 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Topic Modeling #Radiomics and Machine Learning in Medical Imaging
- MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
2023/06/16 by Wang, Dequan, Wang, Xiaosong, Wang, Lilong +12 · 10 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- NegBio: a high-performance tool for negation and uncertainty detection in radiology reports
2017/12/16 by Peng, Yifan, Wang, Xiaosong, Lu, Le +3 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database
2017/11/28 by Ke Yan, Yan, Ke, Xiaosong Wang +11 · 4 citations
Computer Science · Engineering · Medicine · #AI in cancer detection #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging
- Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
2018/07/19 by Tang, Yuxing, Wang, Xiaosong, Harrison, Adam P. +3 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
2020/11/23 by Yang, Dong, Xu, Ziyue, Li, Wenqi +17 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Text-guided Foundation Model Adaptation for Pathological Image Classification
2023/07/27 by Yunkun Zhang, Zhang, Yunkun, Jin Gao +11 · 3 citations
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #Topic Modeling
- Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts
2023/10/04 by Shiyi Du, Du, Shiyi, Xiaosong Wang +13 · 3 citations
Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cutaneous Melanoma Detection and Management #FOS: Computer and information sciences #Mycobacterium research and diagnosis
- Cost-effective Instruction Learning for Pathology Vision and Language Analysis
2024/07/25 by Kaitao Chen, Chen, Kaitao, Mianxin Liu +19 · 3 citations
Computer Science · #Intelligent Tutoring Systems and Adaptive Learning
- When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation
2019/06/07 by Ling Zhang, Zhang, Ling, Xiaosong Wang +17 · 2 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Fetal and Pediatric Neurological Disorders #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
2017/01/23 by Wang, Xiaosong, Lu, Le, Shin, Hoo-chang +5 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
2025/05/22 by Bo Zhang, InternAgent Team, Shiyang Feng +45 · 5 citations
Materials Science · Decision Sciences · Computer Science · #Machine Learning in Materials Science #Scientific Computing and Data Management #Explainable Artificial Intelligence (XAI)
- Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative Search
2025/06/20 by Haoran Sun, Sun, Haoran, Yankai Jiang +15 · 7 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Topic Modeling
- Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
2020/07/31 by Leo Tam, Tam, Leo K., Xiaosong Wang +9 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling #electronic engineering #information engineering
- Learning Image Labels On-the-fly for Training Robust Classification Models
2020/09/22 by Wang, Xiaosong, Xu, Ziyue, Yang, Dong +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Multi-Domain Image Completion for Random Missing Input Data
2020/07/10 by Shen, Liyue, Zhu, Wentao, Wang, Xiaosong +9 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Going to Extremes: Weakly Supervised Medical Image Segmentation
2020/09/25 by Holger R. Roth, Dong Yang, Roth, Holger R +7 · 1 citation
Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
- Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
2021/10/06 by Riddhish Bhalodia, Bhalodia, Riddhish, Ali Hatamizadeh +11 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning in Healthcare #Topic Modeling #electronic engineering #information engineering
- Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification
2024/07/15 by Linhao Qu, Dingkang Yang, Qu, Linhao +11 · 2 citations
Computer Science · Engineering · #Digital Imaging for Blood Diseases #AI in cancer detection #Image Processing Techniques and Applications
- Improving Medical Reasoning with Curriculum-Aware Reinforcement Learning
2025/05/25 by Kaitao Chen, Rui, Shaohao, Chen, Kaitao +4 · 7 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning
- Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
2016/03/25 by Xiaosong Wang, Wang, Xiaosong, Le Lü +11 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
- Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network
2019/07/08 by Ziyue Xu, Xu, Ziyue, Xiaosong Wang +13 · 1 citation
Computer Science · Biochemistry, Genetics and Molecular Biology · Medicine · #AI in cancer detection #Cell Image Analysis Techniques #Radiomics and Machine Learning in Medical Imaging
- Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation
2023/11/02 by Lijian Xu, Xu, Lijian, Ziyu Ni +9 · 1 citation
Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging
- Towards All-in-One Medical Image Re-Identification
2025/03/11 by Yuan Tian, Tian, Yuan, Kaiyuan Ji +11 · 4 citations
Computer Science · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
- Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations
2024/07/25 by Linhao Qu, Qu, Linhao, Dan Huang +5 · 1 citation
Computer Science · Mathematics · #Machine Learning in Healthcare #Statistical Methods and Inference