Younghak Shin

发表

Dictionary update based adaptive EEG classification for real time brain-computer interface applications

Heung-No Lee, Younghak Shin, Seungchan Lee, 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).

Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video

Ilangko Balasingham, Younghak Shin, Johannes Solhusvik, 2020, IEEE Journal of Biomedical and Health Informatics.

Sparse representation-based classification scheme for motor imagery-based brain–computer interface systems

Heung-No Lee, Junho Lee, Younghak Shin, 2012, Journal of neural engineering.

Motor imagery based BCI classification via sparse representation of EEG signals

Heung-No Lee, Younghak Shin, Seungchan Lee, 2011, 2011 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 2011 8th International Conference on Bioelectromagnetism.

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Ilangko Balasingham, Younghak Shin, Hemin Ali Qadir, 2019 .

EEG based image encryption via quantum walks

Ilangko Balasingham, Younghak Shin, Nitin Rawat, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques

Younghak Shin, Byeongmoon Ji, Hyemin Jung, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification

Ilangko Balasingham, Younghak Shin, I. Balasingham, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Performance increase by using a EEG sparse representation based classification method

Heung-No Lee, Younghak Shin, Seungchan Lee, 2013, 2013 IEEE International Conference on Consumer Electronics (ICCE).

Design of Dry Electrode for BCI Systems and Comparison of Impedance Performance

Heung-No Lee, Younghak Shin, Seungchan Lee, 2013 .

Design of Dry Electrodes for Wireless BCI Systems

Kiseon Kim, Seungchan Lee, Heung-No Lee, 2013 .

Review of Applications for Wireless Brain-Computer Interface Systems

Seungchan Lee, Heung-No Lee, Younghak Shin, 2014 .

Review of Wireless Brain-Computer Interface Systems

Kiseon Kim, Seungchan Lee, Heung-No Lee, 2013 .

Two-Wired Active Spring-Loaded Dry Electrodes for EEG Measurements

Seungchan Lee, Kiseon Kim, Heung-No Lee, 2019, Sensors.

Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification

Heung-No Lee, Younghak Shin, Seungchan Lee, 2015, Biomed. Signal Process. Control..

Design of active dry electrodes and its evaluation for EEG acquisition

Heung-No Lee, Younghak Shin, Seungchan Lee, 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).

Automatic polyp frame screening using patch based combined feature and dictionary learning

Ilangko Balasingham, Younghak Shin, I. Balasingham, 2018, Comput. Medical Imaging Graph..

Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better?

Ilangko Balasingham, Younghak Shin, Johannes Solhusvik, 2019, 2019 13th International Symposium on Medical Information and Communication Technology (ISMICT).

Dry electrode design and performance evaluation for EEG based BCI systems

Kiseon Kim, Heung-No Lee, Younghak Shin, 2013, 2013 International Winter Workshop on Brain-Computer Interface (BCI).

Fast L1-based sparse representation of EEG for motor imagery signal classification

Ilangko Balasingham, Heung-No Lee, Younghak Shin, 2016, EMBC.

Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications

Seungchan Lee, Heung-No Lee, Younghak Shin, 2015, Comput. Biol. Medicine.

Deep Learning based Fish Object Detection and Tracking for Smart Aqua Farm

Younghak Shin, Choi Jeong Hyeon, Choi， Han Suk, 2021 .

Region-Based Convolutional Neural Network for Polyp Detection and Segmentation

Ilangko Balasingham, Younghak Shin, Hemin Ali Qadir, 2021, Computer-Aided Analysis of Gastrointestinal Videos.