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ORCIDXiaosong Wang 0001
王潚崧
Person information
- unicode name: 王潚崧
- affiliation: Shanghai Artificial Intelligence Laboratory, Shanghai, China
- affiliation: Alibaba Group, DAMO Academy, Hangzhou, China
- affiliation: NVIDIA Corporation, Bethesda, MD, USA
- affiliation: NIH Clinical Center, Bethesda, MD, USA
- affiliation: Shanghai United Imaging Healthcare, Shanghai, China
- affiliation (PhD 2011): University of Bristol, UK
Other persons with the same name
- Xiaosong Wang (aka: Xiao-Song Wang) — disambiguation page
- Xiaosong Wang 0002 — Chinese Academy of Sciences, Institute of Microelectronics , Beijing, China (and 1 more)
- Xiaosong Wang 0003 — Wuhan University of Technology, School of Sciences, Wuhan, China
- Xiao-Song Wang 0004 (aka: Xiaosong Wang 0004) — University of Pittsburgh, Hillman Cancer Center, Pittsburgh, PA, USA (and 1 more)
- Xiaosong Wang 0005 — Zhejiang University, School of Art and Archaeology, China
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2020 – today
- 2024
[c30]Linhao Qu
, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang:
Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification. ECCV (11) 2024: 196-212- [c29]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts. ISBI 2024: 1-5 - [c28]Lilong Wang, Xuan Wang, Yali Xu, Xiangan Wu, Shunda Du, Shaoting Zhang, Qiang Sun, Xiaosong Wang:
Dual-Perspective Label Smoothing for Accurate Tumor Segmentation. ISBI 2024: 1-5 - [c27]Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders. MICCAI (2) 2024: 45-55 - [c26]Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang:
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. MICCAI (5) 2024: 501-510 - [c25]Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Quality Labels for Robust Image Classification. WACV 2024: 1092-1101 - [i33]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:
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR abs/2402.18028 (2024) - [i32]Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, Rongkui Luo, Shaoting Zhang, Xiaosong Wang:
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification. CoRR abs/2407.10814 (2024) - [i31]Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang:
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. CoRR abs/2407.17726 (2024) - [i30]Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang:
Cost-effective Instruction Learning for Pathology Vision and Language Analysis. CoRR abs/2407.17734 (2024) - [i29]Shaohao Rui, Lingzhi Chen, Zhenyu Tang, Lilong Wang, Mianxin Liu, Shaoting Zhang, Xiaosong Wang:
BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI. CoRR abs/2410.10604 (2024) - 2023
- [c24]Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang:
Text-Guided Foundation Model Adaptation for Pathological Image Classification. MICCAI (5) 2023: 272-282 - [i28]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:
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification. CoRR abs/2306.09579 (2023) - [i27]Zhenyu Tang, Shaoting Zhang, Xiaosong Wang:
Exploring Data Redundancy in Real-world Image Classification through Data Selection. CoRR abs/2306.14113 (2023) - [i26]Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang:
Text-guided Foundation Model Adaptation for Pathological Image Classification. CoRR abs/2307.14901 (2023) - [i25]Shiyi Du, Xiaosong Wang, Yongyi Lu, Yuyin Zhou, Shaoting Zhang, Alan L. Yuille, Kang Li, Zongwei Zhou:
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts. CoRR abs/2310.02906 (2023) - [i24]Lijian Xu, Ziyu Ni, Xinglong Liu, Xiaosong Wang, Hongsheng Li, Shaoting Zhang:
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation. CoRR abs/2311.01092 (2023) - 2022
- [c23]Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu:
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) 2022: 77-87 - [c22]Jing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua, Yu Wang, Xiang Chen:
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. MICCAI (3) 2022: 624-633 - 2021
- [j6]Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. 3(2): 507-524 (2021) - [j5]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:
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70: 101992 (2021) - [j4]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:
Multi-Domain Image Completion for Random Missing Input Data. IEEE Trans. Medical Imaging 40(4): 1113-1122 (2021) - [c21]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV 2021: 3942-3954 - [c20]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) 2021: 357-366 - [c19]Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu:
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. MICCAI (2) 2021: 571-581 - [i23]Xiaosong Wang, Ziyue Xu, Leo K. Tam, Dong Yang, Daguang Xu:
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. CoRR abs/2103.16022 (2021) - [i22]Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR abs/2107.08111 (2021) - [i21]Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu:
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. CoRR abs/2110.03094 (2021) - [i20]Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu:
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR abs/2111.07535 (2021) - 2020
- [j3]Ling Zhang, Le Lu, Xiaosong Wang, Robert Zhu, Mohammadhadi Bagheri, Ronald M. Summers, Jianhua Yao:
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data. IEEE Trans. Medical Imaging 39(4): 1114-1126 (2020) - [j2]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39(7): 2531-2540 (2020) - [c18]Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. AAAI 2020: 12910-12917 - [c17]Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu:
Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies. MICCAI (4) 2020: 45-55 - [c16]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL 2020: 857-866 - [i19]Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu:
When Radiology Report Generation Meets Knowledge Graph. CoRR abs/2002.08277 (2020) - [i18]Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu:
Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR abs/2005.14355 (2020) - [i17]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:
Multi-Domain Image Completion for Random Missing Input Data. CoRR abs/2007.05534 (2020) - [i16]Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu:
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies. CoRR abs/2007.15778 (2020) - [i15]Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu:
Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR abs/2009.10325 (2020) - [i14]Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR abs/2009.11988 (2020) - [i13]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:
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR abs/2011.11750 (2020) - [i12]Leo K. Tam, Xiaosong Wang, Daguang Xu:
Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19. CoRR abs/2012.04682 (2020)
2010 – 2019
- 2019
- [c15]Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu:
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI 2019: 9-17 - [c14]Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 42-50 - [c13]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu:
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI 2019: 62-70 - [p3]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
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 2019: 369-392 - [p2]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 393-412 - [p1]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
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 2019: 413-435 - [e1]Le Lu, Xiaosong Wang, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-13968-1 [contents] - [i11]Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu:
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR abs/1906.03347 (2019) - [i10]Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu:
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR abs/1907.03728 (2019) - [i9]Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly supervised segmentation from extreme points. CoRR abs/1910.01236 (2019) - 2018
- [c12]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. CVPR 2018: 9049-9058 - [c11]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. CVPR 2018: 9261-9270 - [c10]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. MLMI@MICCAI 2018: 249-258 - [i8]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. CoRR abs/1801.04334 (2018) - [i7]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. CoRR abs/1807.07532 (2018) - 2017
- [c9]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
Text Mining Radiology Reports for Deep Learning Radiology Images. AMIA 2017 - [c8]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CVPR 2017: 3462-3471 - [c7]Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers:
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI 2017: 642-645 - [c6]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:
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis 2017: 1013405 - [c5]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV 2017: 998-1007 - [i6]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR abs/1701.06599 (2017) - [i5]Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. CoRR abs/1705.02315 (2017) - [i4]Ke Yan, Xiaosong Wang, Le Lu, Ronald M. Summers:
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations. CoRR abs/1710.01766 (2017) - [i3]Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. CoRR abs/1711.10535 (2017) - [i2]Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu:
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports. CoRR abs/1712.05898 (2017) - 2016
- [c4]Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers:
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) 2016: 388-397 - [i1]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR abs/1603.07965 (2016) - 2012
- [j1]Xiaosong Wang, Majid Mirmehdi:
Archive Film Defect Detection and Removal: An Automatic Restoration Framework. IEEE Trans. Image Process. 21(8): 3757-3769 (2012) - 2010
- [c3]Xiaosong Wang, Majid Mirmehdi:
Archive Film Restoration Based on Spatiotemporal Random Walks. ECCV (5) 2010: 478-491
2000 – 2009
- 2009
- [c2]Xiaosong Wang, Majid Mirmehdi:
HMM based Archive Film Defect Detection with Spatial and Temporal Constraints. BMVC 2009: 1-11 - [c1]Xiaosong Wang, Majid Mirmehdi:
Archive film defect detection based on a hidden Markov model. WIAMIS 2009: 292-295
Coauthor Index
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