Author: Jee-Seok Yoon
Award information: Jee-Seok’s paper, titled “Auto-Context Bagging for Brain Tumor Segmentation”, is awarded as the “Best Paper” in 2017 KIISE Korea Computer Congress, held at Jeju island in June 18-20, 2017.
Author: milab
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4 papers have been accepted to KIISE-KCC 2017
Congratulations!!! 4 papers have been accepted to KIISE-KCC 2017.
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Accepted to Medical Image Analysis
Congratulations!!! A paper on deep ensemble learning of sparse regression models has been accepted for publication in Medical Image Analysis.
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Jee-Seok received the “Best Paper Award”
Author: Jee-Seok Yoon
Award information: Jee-Seok’s paper, titled “Deep Learning-based Brain Tumor Segmentation from Multi-modal MRI”, is awarded as “Best Presentation Paper” in 2016 KIISE Winter Workshop, held at Gangwon Province in December 21-23, 2016.
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Accepted to Annual Review of Biomedical Engineering
Congratulations!!! A review paper on deep learning in medical image analysis has been accepted for publication in Annual Review of Biomedical Engineering.
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3 papers have been accepted to MICCAI-MLMI 2016
Congratulations!!! Three papers have been accepted for presentation in MICCAI-MLMI 2016.
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Accepted to NeuroImage.
Congratulations!!! A paper on functional dynamics modeling has been accepted for publication in NeuroImage.
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Accepted to MICCAI 2015
Congratulations!!! Our paper has been accepted for presentation in MICCAI 2015.
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Accepted to Brain Structure & Function
Congratulations!!! A paper on deep multi-task learning for AD diagnosis has been accepted for publication in Brain Structure & Function.