Younghak Shin
Younghak Shin
Department of Computer Engineering, Mokpo National University
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Cited by
Cited by
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches
Y Shin, HA Qadir, L Aabakken, J Bergsland, I Balasingham
IEEE Access 6 (1), 40950-40962, 2018
Confidence-aware learning for deep neural networks
SH J Moon, J Kim, Y Shin
International Conference on Machine Learning (ICML) 2020, 7034-7044, 2020
Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification
Y Shin, I Balasingham
2017 39th annual international conference of the IEEE engineering in …, 2017
Polyp detection and segmentation using mask R-CNN: Does a deeper feature extractor CNN always perform better?
HA Qadir, Y Shin, J Solhusvik, J Bergsland, L Aabakken, I Balasingham
2019 13th International Symposium on Medical Information and Communication …, 2019
Sparse representation-based classification scheme for motor imagery-based brain–computer interface systems
Y Shin, S Lee, J Lee, HN Lee
Journal of neural engineering 9 (5), 056002, 2012
Improving automatic polyp detection using CNN by exploiting temporal dependency in colonoscopy video
HA Qadir, I Balasingham, J Solhusvik, J Bergsland, L Aabakken, Y Shin
IEEE journal of biomedical and health informatics 24 (1), 180-193, 2019
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
Y Shin, HA Qadir, I Balasingham
IEEE Access 6, 56007-56017, 2018
Review of wireless brain-computer interface systems
S Lee, Y Shin, S Woo, K Kim, HN Lee
Brain-computer interface systems-recent progress and future prospects, 215-238, 2013
Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification
Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee
Biomedical Signal Processing and Control 21, 8-18, 2015
Toward Real-Time Polyp Detection Using Fully CNNs for 2D Gaussian Shapes Prediction
IB HA Qadir, Y Shin, J Solhusvik, J Bergsland, L Aabakken
Medical Image Analysis, 2020
Simple adaptive sparse representation based classification schemes for EEG based brain–computer interface applications
Y Shin, S Lee, M Ahn, H Cho, SC Jun, HN Lee
Computers in biology and medicine 66, 29-38, 2015
Dry Electrode-based Fully Isolated EEG/fNIRS Hybrid Brain-monitoring System
HNL Seungchan Lee, Younghak Shin, Anil Kumar, Minhee Kim
IEEE Transactions on Biomedical Engineering, 10.1109/TBME.2018.2866550, 2018
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques
YS Byeongmoon Ji, Hyemin Jung, Jihyeun Yoon, Kyungyul Kim
2019 ICCV Workshop on Interpreting and Explaining Visual Artificial …, 2019
Automatic Polyp Frame Screening using Patch based Combined Feature and Dictionary Learning
Y Shin, I Balasingham
Computerized Medical Imaging and Graphics 69, 33-42, 2018
Two-wired active spring-loaded dry electrodes for EEG measurements
S Lee, Y Shin, A Kumar, K Kim, HN Lee
Sensors 19 (20), 4572, 2019
Dry electrode design and performance evaluation for EEG based BCI systems
S Lee, Y Shin, S Woo, K Kim, HN Lee
2013 International Winter Workshop on Brain-Computer Interface (BCI), 52-53, 2013
Motor imagery based BCI classification via sparse representation of EEG signals
Y Shin, S Lee, M Ahn, SC Jun, HN Lee
2011 8th International Symposium on Noninvasive Functional Source Imaging of …, 2011
Radio frequency fingerprinting for frequency hopping emitter identification
J Kang, Y Shin, H Lee, J Park, H Lee
Applied Sciences 11 (22), 10812, 2021
Performance increase by using a EEG sparse representation based classification method
Y Shin, S Lee, S Woo, HN Lee
2013 IEEE International Conference on Consumer Electronics (ICCE), 201-203, 2013
Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp
HA Qadir, I Balasingham, Y Shin
Biomedical Signal Processing and Control 74, 103491, 2022
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