Xiaosong Wang 王潚崧
at Nvidia Corporation To advance the clinical diagnosis using cutting-edge machine learning techniques |
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Brief Bio |
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Currently, I am a senior applied research scientist at Nvidia Corporation, focusing on deep learning techniques and their application in medical imaging. Previously, I spent 3 years as a visiting fellow in Dr. Ronald Summers's CAD lab at National Institutes of Health Clinical Center. From Dec. 2013 to Jun. 2015, I was a product manager of post-processing workstations for multiple medical imaging modalities in Shanghai United Imaging Healthcare (UIH). Prior, I worked as an algorithm engineer and then dept. manager in Computer Aided Diagnosis (CAD) Department, Healthcare Software Unit, UIH, from Sep. 2011 to Nov. 2013. I received my PhD in Computer Vision under the supervision of Prof. Majid Mirmehdi at University of Bristol, UK in 2011. My research interests include computer vision, machine learning , deep learning and its application in medical imaging.
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ChestX-ray Dataset |
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Updates |
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X. Wang, Y. Peng, L. Lu, Z. Lu, R. M. Summers. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays. IEEE CVPR 2018; arXiv:1801.04334, 2018 [PDF] |
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K. Yan*, X. Wang*, L. Lu, R. M. Summers. DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations arXiv:1710.01766; RSNA, 2017; IEEE CVPR 2018 [PDF] [Data] |
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X. Wang, Y. Peng, L. Lu, Z. Lu, M. Bagheri, R. M. Summers. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. IEEE CVPR (spotlight); arXiv:1705.02315, 2017 |
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X. Wang, L. Lu, H. Shin, L. Kim, M. Bagheri, I. Nogues, J. Yao, R. M. Summers. Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. IEEE WACV; arXiv:1701.06599; arXiv:1603.07965; RSNA
2016 [PDF] [Data] |
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I. Nogues, L. Lu, X. Wang, H. Roth, G. Bertasius, N. Lay, J. Shi, Y. Tsehay, R. M. Summers. Automatic Lymph Node Cluster Segmentation using Holistically-Nested Networks and Structured Optimization. MICCAI, 2016 [PDF] |
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X. Wang and M. Mirmehdi. Archive Film Defect Detection and Removal: an Automatic Restoration Framework. IEEE Transactions on Imaging Processing (T-IP), 2012 [PDF] [PhD Thesis] |
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X. Wang and M. Mirmehdi. Archive Film Restoration based on Spatiotemporal Random Walks. European Conference on Computer Vision (ECCV), 2010 [PDF] |
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X. Wang and M. Mirmehdi. HMM based Archive Film Defect Detection with Spatial and Temporal constraints. British
Machine Vision Conference (BMVC), 2009 [PDF] |
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Last update: Sep. 2017 |