Attention Enhancement System using Virtual Reality and EEG Biofeedback. - Baek Hwan Cho; Jong-Min Lee; Jeonghun Ku; Dong Pyo Jang; J. S. Kim; In-Young Kim; Jang-Han Lee; Sun I. Kim (VR, 2002)

The Effect of Virtual Reality Cognitive Training for Attention Enhancement. - Baek Hwan Cho; Jeonghun Ku; Dong Pyo Jang; Saebyul Kim; Yong-Hee Lee; In-Young Kim; Jang-Han Lee; Sun I. Kim (Cyberpsychology Behav. Soc. Netw., 2002)

Neurofeedback Training with Virtual Reality for Inattention and Impulsiveness. - Baek Hwan Cho; Saebyul Kim; Dong Ik Shin; Jang-Han Lee; Sang Min Lee; In-Young Kim; Sun I. Kim (Cyberpsychology Behav. Soc. Netw., 2004)

Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. - Uicheul Yoon; Jong-Min Lee; Kiho Im; Yong-Wook Shin; Baek Hwan Cho; In-Young Kim; Jun Soo Kwon; Sun I. Kim (NeuroImage, 2007)

Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. - Baek Hwan Cho; Hwanjo Yu; Kwang-Won Kim; Tae Hyun Kim 005; In-Young Kim; Sun I. Kim (Artif. Intell. Medicine, 2008)

A New Approach for Personal Identification Based on dVCG. - Jong Shill Lee; Baek Hwan Cho; Young Joon Chee; In-Young Kim; Sun I. Kim (IEICE Trans. Inf. Syst., 2008)

Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels. - Baek Hwan Cho; Hwanjo Yu; Jong Shill Lee; Young Joon Chee; In-Young Kim; Sun I. Kim (IEEE Trans. Inf. Technol. Biomed., 2008)

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. - Ngo Anh Vien; Nguyen Hoang Viet; TaeChoong Chung; Hwanjo Yu; Sungchul Kim; Baek Hwan Cho (CIKM, 2009)

Multiobjective evolutionary optimization for tumor segmentation of breast ultrasound images. - Ye-Hoon Kim; Baek Hwan Cho; Yeong Kyeong Seong; Moon Ho Park; Junghoe Kim; Sinsang Yu; Kyoung-Gu Woo (EMBC, 2013)

Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics. - Baek Hwan Cho; Chu-Ho Chang; Jong-Ha Lee; Eun Young Ko; Yeong Kyeong Seong; Kyoung-Gu Woo (Computer-Aided Diagnosis, 2013)

Computer-aided lesion diagnosis in B-mode ultrasound by border irregularity and multiple sonographic features. - Jong-Ha Lee; Yeong Kyeong Seong; Chu-Ho Chang; Eun Young Ko; Baek Hwan Cho; Jeonghun Ku; Kyoung-Gu Woo (Computer-Aided Diagnosis, 2013)

Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation. - Zhihui Hao; Qiang Wang 023; Xiaotao Wang; Jung-Bae Kim; Youngkyoo Hwang; Baek Hwan Cho; Ping Guo; Won Ki Lee (MICCAI (1), 2013)

Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms. - Myungeun Lee; Jong Hyo Kim; Moon Ho Park; Ye-Hoon Kim; Yeong Kyeong Seong; Junghoe Kim; Baek Hwan Cho; Sinsang Yu; Kyoung-Gu Woo (Abdominal Imaging, 2013)

Ultrasound breast lesion segmentation using adaptive parameters. - Baek Hwan Cho; Yeong Kyeong Seong; Junghoe Kim; Zhihua Liu; Zhihui Hao; Eun Young Ko; Kyoung-Gu Woo (Computer-Aided Diagnosis, 2014)

Computer-aided classification of liver tumors in 3D ultrasound images with combined deformable model segmentation and support vector machine. - Myungeun Lee; Jong Hyo Kim; Moon Ho Park; Ye-Hoon Kim; Yeong Kyeong Seong; Baek Hwan Cho; Kyoung-Gu Woo (Image Processing, 2014)

Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. - 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 023; et al. (ICIP, 2016)

Movement state classification for bimanual BCI from non-human primate's epidural ECoG using three-dimensional convolutional neural network. - Hoseok Choi; Jeyeon Lee; Jinsick Park; Baek Hwan Cho; Kyoung-Min Lee; Dong Pyo Jang (BCI, 2018)

Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning. - Joo Young Kim 005; Kyunghan Ro; Sungmin You; Borum Nam; Sunhyun Yook; Hee Seol Park; Jae Chul Yoo; Eunkyoung Park; Kyeongwon Cho; Baek Hwan Cho; In Young Kim (Comput. Methods Programs Biomed., 2019)

Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network. - Sungmin You; Baek Hwan Cho; Soon-Hyung Yook; Joo Young Kim 005; Young-Min Shon; Dae-Won Seo; In Young Kim (Comput. Methods Programs Biomed., 2020)

Automatic stenosis recognition from coronary angiography using convolutional neural networks. - Jong Hak Moon; Da Young Lee; Won Chul Cha; Myung Jin Chung; Kyu-Sung Lee; Baek Hwan Cho; Jin Ho Choi (Comput. Methods Programs Biomed., 2021)

Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG. - Sungmin You; Baek Hwan Cho; Young-Min Shon; Dae-Won Seo; In Young Kim (Comput. Methods Programs Biomed., 2022)