Baek Hwan Cho

22 papers A* 1A 1B 2Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Uncertainty-Aware Selective Prediction of Neovascular Age-Related Macular Degeneration Recurrence Using Artificial Intelligence.
IEEE Access
Won Tae Yoon, Hun-Gyeom Kim, Junhyung Moon, Dat Ngo, Jae Hui Kim, Baek Hwan Cho
2022 J jnl
Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG.
Comput. Methods Programs Biomed.
Sungmin You, Baek Hwan Cho, Young-Min Shon, Dae-Won Seo, In Young Kim
2021 J jnl
Automatic stenosis recognition from coronary angiography using convolutional neural networks.
Comput. Methods Programs Biomed.
Jong Hak Moon, Da Young Lee, Won Chul Cha, Myung Jin Chung, Kyu-Sung Lee, Baek Hwan Cho, Jin Ho Choi
2020 J jnl
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.
Sungmin You, Baek Hwan Cho, Soon-Hyung Yook, Joo Young Kim, Young-Min Shon, Dae-Won Seo, In Young Kim
2019 J jnl
Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning.
Comput. Methods Programs Biomed.
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
2018 — conf
Movement state classification for bimanual BCI from non-human primate's epidural ECoG using three-dimensional convolutional neural network.
BCI
Hoseok Choi, Jeyeon Lee, Jinsick Park, Baek Hwan Cho, Kyoung-Min Lee, Dong Pyo Jang
2016 B conf
Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique.
ICIP
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
2014 B conf
Computer-aided classification of liver tumors in 3D ultrasound images with combined deformable model segmentation and support vector machine.
Image Processing
Myungeun Lee, Jong Hyo Kim, Moon Ho Park, Ye-Hoon Kim, Yeong Kyeong Seong, Baek Hwan Cho, Kyoung-Gu Woo
2014 — conf
Ultrasound breast lesion segmentation using adaptive parameters.
Computer-Aided Diagnosis
Baek Hwan Cho, Yeong Kyeong Seong, JungHoe Kim, Zhihua Liu, Zhihui Hao, Eun Young Ko, Kyoung-Gu Woo
2013 — conf
Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features.
Computer-Aided Diagnosis
Jong-Ha Lee, Yeong Kyeong Seong, Chu-Ho Chang, Eun Young Ko, Baek Hwan Cho, Jeonghun Ku, Kyoung-Gu Woo
2013 — conf
Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics.
Computer-Aided Diagnosis
Baek Hwan Cho, Chu-Ho Chang, Jong-Ha Lee, Eun Young Ko, Yeong Kyeong Seong, Kyoung-Gu Woo
2013 — conf
Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation.
MICCAI (1)
Zhihui Hao, Qiang Wang, Xiaotao Wang, Jung-Bae Kim, Youngkyoo Hwang, Baek Hwan Cho, Ping Guo, Won Ki Lee
2013 — conf
Multiobjective evolutionary optimization for tumor segmentation of breast ultrasound images.
EMBC
Ye-Hoon Kim, Baek Hwan Cho, Yeong Kyeong Seong, Moon Ho Park, JungHoe Kim, Sinsang Yu, Kyoung-Gu Woo
2013 — conf
Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms.
Abdominal Imaging
Myungeun Lee, Jong Hyo Kim, Moon Ho Park, Ye-Hoon Kim, Yeong Kyeong Seong, JungHoe Kim, Baek Hwan Cho, Sinsang Yu, Kyoung-Gu Woo
2009 A conf
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels.
CIKM
Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho
2008 J jnl
A New Approach for Personal Identification Based on dVCG.
IEICE Trans. Inf. Syst.
Jong Shill Lee, Baek Hwan Cho, Young Joon Chee, In-Young Kim, Sun I. Kim
2008 J jnl
Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods.
Artif. Intell. Medicine
Baek Hwan Cho, Hwanjo Yu, Kwang-Won Kim, Tae Hyun Kim, In-Young Kim, Sun I. Kim
2008 J jnl
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels.
IEEE Trans. Inf. Technol. Biomed.
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Joon Chee, In-Young Kim, Sun I. Kim
2007 J jnl
Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia.
NeuroImage
Uicheul Yoon, Jong-Min Lee, Kiho Im, Yong-Wook Shin, Baek Hwan Cho, In-Young Kim, Jun Soo Kwon, Sun I. Kim
2004 J jnl
Neurofeedback Training with Virtual Reality for Inattention and Impulsiveness.
Cyberpsychology Behav. Soc. Netw.
Baek Hwan Cho, Saebyul Kim, Dong Ik Shin, Jang-Han Lee, Sang Min Lee, In-Young Kim, Sun I. Kim
2002 A* conf
Attention Enhancement System using Virtual Reality and EEG Biofeedback.
VR
Baek Hwan Cho, Jong-Min Lee, Jeonghun Ku, Dong Pyo Jang, J. S. Kim, In-Young Kim, Jang-Han Lee, Sun I. Kim
2002 J jnl
The Effect of Virtual Reality Cognitive Training for Attention Enhancement.
Cyberpsychology Behav. Soc. Netw.
Baek Hwan Cho, Jeonghun Ku, Dong Pyo Jang, Saebyul Kim, Yong-Hee Lee, In-Young Kim, Jang-Han Lee, Sun I. Kim