On Using Maximum a Posteriori Probability Based on a Bayesian Model for Oscillometric Blood Pressure Estimation. - Soojeong Lee; Gwanggil Jeon; Gangseong Lee (Sensors, 2013)

A study of row-direction reconstruction algorithm in depth map. - Taehoon Yoo; Gangseong Lee; Kyedong Jung; YeongPyo Hong; Sanghun Lee (Clust. Comput., 2015)

Noise Estimation and Suppression Using Nonlinear Function with A Priori Speech Absence Probability in Speech Enhancement. - Soojeong Lee; Gangseong Lee (J. Sensors, 2016)

A Modified GrabCut Using a Clustering Technique to Reduce Image Noise. - Gangseong Lee; Sanghun Lee; GaOn Kim; JongHun Park; YoungSoo Park (Symmetry, 2016)

Using a Method Based on a Modified K-Means Clustering and Mean Shift Segmentation to Reduce File Sizes and Detect Brain Tumors from Magnetic Resonance (MRI) Images. - Jihoon Kim; Sanghun Lee; Gangseong Lee; YoungSoo Park; YeongPyo Hong (Wirel. Pers. Commun., 2016)

A Study on the Improved Normalized Cut Algorithm Using a Bilateral Filter for Efficient Object Extraction from Image. - Sanghun Lee; Gangseong Lee; YeongPyo Hong; Jihoon Kim (Wirel. Pers. Commun., 2016)

Statistical Approaches Based on Deep Learning Regression for Verification of Normality of Blood Pressure Estimates. - Soojeong Lee; Gangseong Lee; Gwanggil Jeon (Sensors, 2019)

Support Vector Regression-Based Recursive Ensemble Methodology for Confidence Interval Estimation in Blood Pressure Measurements. - Soojeong Lee; Gangseong Lee (J. Sensors, 2020)

Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology. - Soojeong Lee; Hilmi R. Dajani; Sreeraman Rajan; Gangseong Lee; Voicu Z. Groza (Sensors, 2020)

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations. - Soojeong Lee; Hyeonjoon Moon; Mugahed A. Al-antari; Gangseong Lee (Sensors, 2022)

Automatic Features Extraction Integrated With Exact Gaussian Process for Respiratory Rate and Uncertainty Estimations. - Soojeong Lee; Gangseong Lee (IEEE Access, 2023)