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ORCIDYounghak Shin
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2020 – today
- 2023
[i7]Hemin Ali Qadir, Ilangko Balasingham, Younghak Shin:
Simple U-net Based Synthetic Polyp Image Generation: Polyp to Negative and Negative to Polyp. CoRR abs/2302.09835 (2023)- [i6]Hemin Ali Qadir, Younghak Shin, Jacob Bergsland, Ilangko Balasingham:
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames. CoRR abs/2303.05871 (2023) - 2022
- [j10]Hemin Ali Qadir, Ilangko Balasingham, Younghak Shin:
Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp. Biomed. Signal Process. Control. 74: 103491 (2022) - [c13]Hemin Ali Qadir, Younghak Shin, Jacob Bergsland, Ilangko Balasingham:
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames. BIBM 2022: 2461-2466 - 2021
- [j9]Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham:
Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. Medical Image Anal. 68: 101897 (2021) - [p1]Hemin Ali Qadir, Ilangko Balasingham, Younghak Shin:
Region-Based Convolutional Neural Network for Polyp Detection and Segmentation. Computer-Aided Analysis of Gastrointestinal Videos 2021: 91-98 - 2020
- [j8]Hemin Ali Qadir
, Ilangko Balasingham, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Younghak Shin:
Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. IEEE J. Biomed. Health Informatics 24(1): 180-193 (2020) - [c12]Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang:
Confidence-Aware Learning for Deep Neural Networks. ICML 2020: 7034-7044 - [c11]Younghak Shin, Jeonghyeon Choi, Han Suk Choi:
Comparison of Deep Learning based Fish Detection Performance for Real-Time Smart Fish Farming. SMA 2020: 61-63 - [c10]Han-Suk Choi, Jeong-Hyeon Choi, Kyung-Woo Park, Seok Won Jung, Han Kyu Lim, Younghak Shin:
Fish Activity State and Fuzzy Inference based an Intelligence Fish Feeding Model. SMA 2020: 405-406 - [i5]Jooyoung Moon, Jihyo Kim, Younghak Shin, Sangheum Hwang:
Confidence-Aware Learning for Deep Neural Networks. CoRR abs/2007.01458 (2020)
2010 – 2019
- 2019
- [j7]Seungchan Lee, Younghak Shin, Anil Kumar, Kiseon Kim, Heung-No Lee:
Two-Wired Active Spring-Loaded Dry Electrodes for EEG Measurements. Sensors 19(20): 4572 (2019) - [j6]Seungchan Lee, Younghak Shin, Anil Kumar, Minhee Kim, Heung-No Lee:
Dry Electrode-Based Fully Isolated EEG/fNIRS Hybrid Brain-Monitoring System. IEEE Trans. Biomed. Eng. 66(4): 1055-1068 (2019) - [c9]Byeongmoon Ji, Hyemin Jung, Jihyeun Yoon, Kyungyul Kim, Younghak Shin:
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques. ICCV Workshops 2019: 4190-4196 - [c8]Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham:
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? ISMICT 2019: 1-6 - [i4]Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham:
Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches. CoRR abs/1906.11463 (2019) - [i3]Younghak Shin, Hemin Ali Qadir, Ilangko Balasingham:
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance. CoRR abs/1906.11467 (2019) - [i2]Hemin Ali Qadir, Younghak Shin, Johannes Solhusvik, Jacob Bergsland, Lars Aabakken, Ilangko Balasingham:
Polyp Detection and Segmentation using Mask R-CNN: Does a Deeper Feature Extractor CNN Always Perform Better? CoRR abs/1907.09180 (2019) - [i1]Byeongmoon Ji, Hyemin Jung, Jihyeun Yoon, Kyungyul Kim, Younghak Shin:
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques. CoRR abs/1908.11528 (2019) - 2018
- [j5]Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham:
Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches. IEEE Access 6: 40950-40962 (2018) - [j4]Younghak Shin, Hemin Ali Qadir, Ilangko Balasingham:
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance. IEEE Access 6: 56007-56017 (2018) - [j3]Younghak Shin, Ilangko Balasingham:
Automatic polyp frame screening using patch based combined feature and dictionary learning. Comput. Medical Imaging Graph. 69: 33-42 (2018) - 2017
- [c7]Younghak Shin, Ilangko Balasingham:
Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification. EMBC 2017: 3277-3280 - 2016
- [c6]Younghak Shin, Heung-No Lee, Ilangko Balasingham:
Fast L1-based sparse representation of EEG for motor imagery signal classification. EMBC 2016: 223-226 - [c5]Nitin Rawat, Younghak Shin, Ilangko Balasingham:
EEG based image encryption via quantum walks. EMBC 2016: 231-234 - 2015
- [j2]Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee:
Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification. Biomed. Signal Process. Control. 21: 8-18 (2015) - [j1]Younghak Shin, Seungchan Lee, Minkyu Ahn, Hohyun Cho, Sung Chan Jun, Heung-No Lee:
Simple adaptive sparse representation based classification schemes for EEG based brain-computer interface applications. Comput. Biol. Medicine 66: 29-38 (2015) - [c4]Seungchan Lee, Younghak Shin, Heung-No Lee:
Design of active dry electrodes and its evaluation for EEG acquisition. ICTC 2015: 560-562 - [c3]Younghak Shin, Seungchan Lee, Heung-No Lee:
Dictionary update based adaptive EEG classification for real time brain-computer interface applications. ICTC 2015: 566-569 - 2013
- [c2]Seungchan Lee, Younghak Shin, Soogil Woo, Kiseon Kim, Heung-No Lee:
Dry electrode design and performance evaluation for EEG based BCI systems. BCI 2013: 52-53 - [c1]Younghak Shin, Seungchan Lee, Soogil Woo, Heung-No Lee:
Performance increase by using a EEG sparse representation based classification method. ICCE 2013: 201-203
Coauthor Index
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