Interference-Adaptive Fast Dynamic Channel Allocation in TD-SCDMA System. - Tae Young Min; Byeong C. Kim; Joung C. Kim; Chung Gu Kang 001 (Wirel. Pers. Commun., 2011)

Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases. - Samsuddin Ahmed; Kyu Yeong Choi; Jang Jae Lee; Byeong C. Kim; Goo-Rak Kwon; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2019)

Hippocampus Localization Using a Two-Stage Ensemble Hough Convolutional Neural Network. - Abol Basher; Kyu Yeong Choi; Jang Jae Lee; Bumshik Lee; Byeong C. Kim; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2019)

Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data. - Min Ju Kang; Sang Yun Kim; Duk L. Na; Byeong C. Kim; Dong Won Yang; Eun-Joo Kim; Hae Ri Na; Hyun Jeong Han; Jae-Hong Lee; Jong Hun Kim; Kee Hyung Park; Kyung Won Park; et al. (BMC Medical Informatics Decis. Mak., 2019)

Automatic Localization and Discrete Volume Measurements of Hippocampi From MRI Data Using a Convolutional Neural Network. - Abol Basher; Byeong C. Kim; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2020)

Volumetric Feature-Based Alzheimer's Disease Diagnosis From sMRI Data Using a Convolutional Neural Network and a Deep Neural Network. - Abol Basher; Byeong C. Kim; Kun Ho Lee; Ho Yub Jung (IEEE Access, 2021)

Individualized diagnosis of preclinical Alzheimer's Disease using deep neural networks. - Jinhee Park; Sehyeon Jang; Jeonghwan Gwak; Byeong C. Kim; Jang Jae Lee; Kyu Yeong Choi; Kun Ho Lee; Sung Chan Jun; Gil-Jin Jang; Sangtae Ahn (Expert Syst. Appl., 2022)

Smart Insole-Based Classification of Alzheimer's Disease Using Few-Shot Learning Facilitated by Multi-Scale Metric Learning. - Younghoon Jeon; Jaeyong Kang; Byeong C. Kim; Kun Ho Lee; Jong-In Song; Jeonghwan Gwak (IEEE Trans. Consumer Electron., 2024)