Adaptive Chrominance Correction for a Projector Considering Image and Screen Color. - Sun Hee Park; Sejung Yang; Byung-Uk Lee (ISVC (2), 2007)

Color compensation of histogram equalized images. - Hee-Won Lee; Sejung Yang; Byung-Uk Lee (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2009)

Efficient transform using canonical signed digit in reversible color transforms. - Sejung Yang; Byung-Uk Lee (J. Electronic Imaging, 2009)

Color Compensation Using Nonlinear Luminance-RGB Component Curve of a Camera. - Sejung Yang; Yoon-Ah Kim; Chaerin Kang; Byung-Uk Lee (ISVC (2), 2011)

A Novel 3-D Color Histogram Equalization Method With Uniform 1-D Gray Scale Histogram. - Ji-Hee Han; Sejung Yang; Byung-Uk Lee (IEEE Trans. Image Process., 2011)

Ridge and furrow pattern classification for acral lentiginous melanoma using dermoscopic images. - Sejung Yang; Byungho Oh; Sungwon Hahm; Kee-Yang Chung; Byung-Uk Lee (Biomed. Signal Process. Control., 2017)

Early Seizure Detection by Applying Frequency-Based Algorithm Derived from the Principal Component Analysis. - Jiseon Lee; Junhee Park; Sejung Yang; Hani Kim; Yun Seo Choi; Hyeon Jin Kim; Hyang Woon Lee; Byung-Uk Lee (Frontiers Neuroinformatics, 2017)

Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images. - Mi-Sun Kang; Eunju Cha; Eunhee Kang; Jong Chul Ye; Nam-Gu Her; Jeong-Woo Oh; Do-Hyun Nam; Myoung-Hee Kim; Sejung Yang (Biomed. Signal Process. Control., 2020)

A novel automatic segmentation and tracking method to measure cellular dielectrophoretic mobility from individual cell trajectories for high throughput assay. - Seungyeop Choi; Hyunwoo Lee 004; Sena Lee; Insu Park; Yoon Suk Kim; Jaehong Key; Sei Young Lee; Sejung Yang; Sang Woo Lee (Comput. Methods Programs Biomed., 2020)

Novel Framework for Knee Arthroscopic Image Enhancement. - Changi Kim; Junghun Han; Giwon Yoon; Dongjin Kim; Sejung Yang (J. Medical Imaging Health Informatics, 2020)

A Novel Method for Effective Cell Segmentation and Tracking in Phase Contrast Microscopic Images. - Hongju Jo; Junghun Han; Yoon Suk Kim; Yongheum Lee; Sejung Yang (Sensors, 2021)

Advanced Kidney Volume Measurement Method Using Ultrasonography with Artificial Intelligence-Based Hybrid Learning in Children. - Dong-Wook Kim; Hong-Gi Ahn; Jeeyoung Kim; Choon-Sik Yoon; Ji-Hong Kim; Sejung Yang (Sensors, 2021)

Multi-Focus Image Fusion Using Focal Area Extraction in a Large Quantity of Microscopic Images. - Jiyoung Lee; Seunghyun Jang; Jungbin Lee; Taehan Kim; Seonghan Kim; Jongbum Seo; Ki Hean Kim; Sejung Yang (Sensors, 2021)

Automated chromosomes counting systems using deep neural network. - Seungyoung Kang; Junghun Han; Yuseong Chu; Inkyung Lee; Haemi Joo; Sejung Yang (ICEIC, 2022)

Automated multiple cell tracking method for non-invasive analysis of cells using dielectrophoresis. - Sena Lee; Seungyoung Kang; Kyungdeok Seo; Hyunwoo Lee 004; Seungyeop Choi; Sang Woo Lee; Sejung Yang (ICEIC, 2022)

Pupil Detection and Segmentation for Diagnosis of Nystagmus with U-Net. - Yerin Lee; Sena Lee; Seunghyun Jang; Hyeong Jun Wang; Young Joon Seo; Sejung Yang (ICEIC, 2022)

An artificial intelligence framework for improving predictive performance of left ventricular hypertrophy using electrocardiography. - Jiseung Ryu; Yerin Lee; Hyunyoung Kang; Solam Lee; Youngjun Park; Sejung Yang (ICEIC, 2022)

Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors. - Hyunwoo Lee 004; Yerin Lee; Seung-Won Jung; Solam Lee; Byungho Oh; Sejung Yang (Sensors, 2023)

Prediction of scar severity after thyroidectomy using deep learning. - Yuseong Chu; Solam Lee; Mi Ryung Roh; Byungho Oh; Sejung Yang (BIBM, 2024)

Enhancing Endoscopic Surgical Imaging: AI-Based Smoke Removal and Image Enhancement. - Junghun Han; Kyung Jin Eoh; Myoung-Chone An; San-Hui Lee; Sejung Yang (BIBM, 2024)

Pancreatic Anomaly Detection in Abdominal CT Images using Latent Diffusion Models. - Jin Gyo Jeong; Jiseung Ryu; Jhii-Hyun Ahn; Sejung Yang (BIBM, 2024)

Development and Application of Automated Wound Tissue Segmentation Algorithm. - Hyunyoung Kang; Yuseong Chu; Byungho Oh; Solam Lee; Jiye Kim; Sejung Yang (BIBM, 2024)

Improving Dental Alignment Accuracy with 3D Scanning and Deep Learning Model Optimization. - Geunye Kim; Sena Lee; Juryeong Jeong; Yongkyu Jin; Sejung Yang (BIBM, 2024)

Automated Assessment of Facial Vitiligo Using Multi-View UV Images and Landmark-Based Facial Region Subdivision. - Sena Lee; Yeonwoo Heo; Solam Lee; Sejung Yang (BIBM, 2024)

Evaluation of nystagmus and direction in videonystagmography using wavelet transform and deep learning. - Yerin Lee; Young Joon Seo; Sejung Yang (BIBM, 2024)

Predicting Patient Movement Patterns with Cognitive Insight. - Younghyun Park; Sejung Yang (BIBM, 2024)

A Deep Learning Ensemble Model Based on ECG for the Diagnosis of Variant Angina. - Jiseung Ryu; Youngjun Park; Sejung Yang (BIBM, 2024)

Chromosome analysis method based on deep learning: Counting chromosomes and detecting abnormal chromosomes. - Seungyoung Kang; Junghun Han; Inkyung Lee; Haemi Joo; Yousun Chung; Sejung Yang (Biomed. Signal Process. Control., 2024)

Cellular subpopulations identified using an ensemble average of multiple dielectrophoresis measurements. - Seungyeop Choi; Sung-Hun Woo; Insu Park; Sena Lee; Kang In Yeo; Sang Hyun Lee; Sei Young Lee; Sejung Yang; Gyudo Lee; Woo-Jin Chang; Rashid Bashir; Yoon Suk Kim; et al. (Comput. Biol. Medicine, 2024)

Class-Agnostic Feature-Learning-Based Deep-Learning Model for Robust Melanoma Prediction. - Yuseong Chu; Solam Lee; Byungho Oh; Sejung Yang (IEEE J. Biomed. Health Informatics, 2025)