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Hyunseok Seo
Hyunseok Seo
Stanford University
Artificial intelligence
Segmentation
Computer science
Residual
Pattern recognition
6
Papers
152
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Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction
2020
IEEE Transactions on Automation Science and Engineering
Xiao Jia
Xiaochun Mai
Yi Cui
Yixuan Yuan
Xiaohan Xing
Hyunseok Seo
Lei Xing
Max Q.-H. Meng
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Citations (24)
A locally segmented reconstruction method for parallel imaging
2020
Magnetic Resonance in Medicine
Seohee So
Hyunseok Seo
HyunWook Park
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Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images.
2019
arXiv: Image and Video Processing
Hyunseok Seo
Charles W Huang
Maxime Bassenne
Ruoxiu Xiao
Lei Xing
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Citations (88)
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
2019
arXiv: Image and Video Processing
Hyunseok Seo
Masoud Badiei Khuzani
Varun Vasudevan
Charles W Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
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Citations (39)
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
2019
arXiv: Image and Video Processing
Hyunseok Seo
Masoud Badiei Khuzani
Varun Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
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