Xiaosong Wang
Orcid: 0000-0002-3840-5658Affiliations:
- Shanghai Artificial Intelligence Laboratory, Shanghai, China
- Alibaba Group, DAMO Academy, Hangzhou, China
- NVIDIA Corporation, Bethesda, MD, USA
- NIH Clinical Center, Bethesda, MD, USA
- Shanghai United Imaging Healthcare, Shanghai, China
- University of Bristol, UK (PhD 2011)
According to our database1,
Xiaosong Wang
authored at least 54 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
BrainMVP: Multi-modal Vision Pre-training for Brain Image Analysis using Multi-parametric MRI.
CoRR, 2024
CoRR, 2024
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
BrainSCK: Brain Structure and Cognition Alignment via Knowledge Injection and Reactivation for Diagnosing Brain Disorders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Boosting Dermatoscopic Lesion Segmentation Via Diffusion Models With Visual And Textual Prompts.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Pathology-Knowledge Enhanced Multi-instance Prompt Learning for Few-Shot Whole Slide Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation.
CoRR, 2023
CoRR, 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification.
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
IEEE Trans. Medical Imaging, 2021
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.
Medical Image Anal., 2021
Mach. Learn. Knowl. Extr., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.
IEEE Trans. Medical Imaging, 2020
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data.
IEEE Trans. Medical Imaging, 2020
CoRR, 2020
CoRR, 2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.
CoRR, 2019
CoRR, 2019
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the 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.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
NegBio: a high-performance tool for negation and uncertainty detection in radiology reports.
CoRR, 2017
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations.
CoRR, 2017
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the AMIA 2017, 2017
2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database.
CoRR, 2016
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2012
IEEE Trans. Image Process., 2012
2010
Proceedings of the Computer Vision - ECCV 2010, 2010
2009
Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009
Proceedings of the British Machine Vision Conference, 2009