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ORCIDBaek Hwan Cho
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2020 – today
- 2022
[j10]Sungmin You, Baek Hwan Cho, Young-Min Shon, Dae-Won Seo, In Young Kim:
Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG. Comput. Methods Programs Biomed. 213: 106542 (2022)- 2021
- [j9]Jong Hak Moon
, Da Young Lee, Won Chul Cha, Myung Jin Chung, Kyu-Sung Lee, Baek Hwan Cho, Jin Ho Choi:
Automatic stenosis recognition from coronary angiography using convolutional neural networks. Comput. Methods Programs Biomed. 198: 105819 (2021) - 2020
- [j8]Sungmin You, Baek Hwan Cho, Soon-Hyung Yook, Joo Young Kim, Young-Min Shon, Dae-Won Seo, In Young Kim:
Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network. Comput. Methods Programs Biomed. 193: 105472 (2020)
2010 – 2019
- 2019
- [j7]Joo Young Kim, Kyunghan Ro, Sungmin You, Borum Nam, Sunhyun Yook, Hee Seol Park, Jae Chul Yoo, Eunkyoung Park, Kyeongwon Cho, Baek Hwan Cho, In Young Kim:
Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning. Comput. Methods Programs Biomed. 182 (2019) - 2018
- [c11]Hoseok Choi, Jeyeon Lee, Jinsick Park, Baek Hwan Cho, Kyoung-Min Lee, Dong Pyo Jang:
Movement state classification for bimanual BCI from non-human primate's epidural ECoG using three-dimensional convolutional neural network. BCI 2018: 1-3 - 2016
- [c10]Paul K. J. Park, Baek Hwan Cho, Jin Man Park, Kyoobin Lee, Ha Young Kim, Hyo Ah Kang, Hyun Goo Lee, Jooyeon Woo, Yohan Roh, Won Jo Lee, Chang-Woo Shin, Qiang Wang, Hyunsurk Ryu:
Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. ICIP 2016: 1624-1628 - 2014
- [c9]Baek Hwan Cho, Yeong Kyeong Seong, Junghoe Kim, Zhihua Liu, Zhihui Hao, Eun Young Ko, Kyoung-Gu Woo:
Ultrasound breast lesion segmentation using adaptive parameters. Computer-Aided Diagnosis 2014: 90351E - [c8]Myungeun Lee, Jong Hyo Kim, Moon Ho Park, Ye-Hoon Kim, Yeong Kyeong Seong, Baek Hwan Cho, Kyoung-Gu Woo:
Computer-aided classification of liver tumors in 3D ultrasound images with combined deformable model segmentation and support vector machine. Image Processing 2014: 90341N - 2013
- [c7]Ye-Hoon Kim, Baek Hwan Cho, Yeong Kyeong Seong, Moon Ho Park, Junghoe Kim, Sinsang Yu, Kyoung-Gu Woo:
Multiobjective evolutionary optimization for tumor segmentation of breast ultrasound images. EMBC 2013: 3650-3653 - [c6]Baek Hwan Cho, Chu-Ho Chang, Jong-Ha Lee, Eun Young Ko, Yeong Kyeong Seong, Kyoung-Gu Woo:
Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics. Computer-Aided Diagnosis 2013: 86701Q - [c5]Jong-Ha Lee, Yeong Kyeong Seong, Chu-Ho Chang, Eun Young Ko, Baek Hwan Cho, Jeonghun Ku, Kyoung-Gu Woo:
Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features. Computer-Aided Diagnosis 2013: 86701O - [c4]Zhihui Hao, Qiang Wang, Xiaotao Wang, Jung-Bae Kim, Youngkyoo Hwang, Baek Hwan Cho, Ping Guo, Won Ki Lee:
Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation. MICCAI (1) 2013: 227-234 - [c3]Myungeun Lee, Jong Hyo Kim, Moon Ho Park, Ye-Hoon Kim, Yeong Kyeong Seong, Junghoe Kim, Baek Hwan Cho, Sinsang Yu, Kyoung-Gu Woo:
Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms. Abdominal Imaging 2013: 251-258
2000 – 2009
- 2009
- [c2]Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho:
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM 2009: 2081-2082 - 2008
- [j6]Baek Hwan Cho, Hwanjo Yu, Kwang-Won Kim, Tae Hyun Kim, In-Young Kim, Sun I. Kim:
Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. Artif. Intell. Medicine 42(1): 37-53 (2008) - [j5]Jong Shill Lee, Baek Hwan Cho, Young Joon Chee, In-Young Kim, Sun I. Kim:
A New Approach for Personal Identification Based on dVCG. IEICE Trans. Inf. Syst. 91-D(4): 1201-1205 (2008) - [j4]Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Joon Chee, In-Young Kim, Sun I. Kim:
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels. IEEE Trans. Inf. Technol. Biomed. 12(2): 247-256 (2008) - 2007
- [j3]Uicheul Yoon, Jong-Min Lee, Kiho Im, Yong-Wook Shin, Baek Hwan Cho, In-Young Kim, Jun Soo Kwon, Sun I. Kim:
Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. NeuroImage 34(4): 1405-1415 (2007) - 2004
- [j2]Baek Hwan Cho, Saebyul Kim, Dong Ik Shin, Jang-Han Lee, Sang Min Lee, In-Young Kim, Sun I. Kim:
Neurofeedback Training with Virtual Reality for Inattention and Impulsiveness. Cyberpsychology Behav. Soc. Netw. 7(5): 519-526 (2004) - 2002
- [j1]Baek Hwan Cho, Jeonghun Ku, Dong Pyo Jang, Saebyul Kim, Yong-Hee Lee, In-Young Kim, Jang-Han Lee, Sun I. Kim:
The Effect of Virtual Reality Cognitive Training for Attention Enhancement. Cyberpsychology Behav. Soc. Netw. 5(2): 129-137 (2002) - [c1]Baek Hwan Cho, Jong-Min Lee, Jeonghun Ku, Dong Pyo Jang, J. S. Kim, In-Young Kim, Jang-Han Lee, Sun I. Kim:
Attention Enhancement System using Virtual Reality and EEG Biofeedback. VR 2002: 156-163
Coauthor Index
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