Laryngeal Disease Classification using Voice Data: Octave-band vs. Mel-Frequency Filters
송재민
Heliyon, 1970
2
Segmentation-Based Measurement of Orbital Structures: Achievements in Eyeball Volume Estimation and Barriers in Optic Nerve Analysis
김하나
Diagnostics, 1970
3
Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis
송재민
Scientific Reports, 1970
4
Discriminative feature generation for classification of imbalanced data
Sungho Suh, Paul Lukowicz, Yong Oh Lee
Pattern Recognition, 2022
5
CEGAN: Classification Enhancement Generative Adversarial Networks for unraveling data imbalance problems
Sungho Suh, Haebom Lee, Paul Lukowicz, Yong Oh Lee
Neural Networks, 2021
6
Laryngeal Disease Classification using Voice Data: Octave-band vs. Mel-Frequency Filters.
Kim, Hyun-Bum, Jaemin Song, Seho Park, Yong Oh Lee
Heliyon, 2024
7
Segmentation-Based Measurement of Orbital Structures: Achievements in Eyeball Volume Estimation and Barriers in Optic Nerve Analysis.
Yong Oh Lee, Hana Kim, Yeong Woong Chung, Won-Kyung Cho, Jungyul Park, Ji-Sun Paik
Diagnostics, 2024
8
Deep Learning Technology for Classification of Thyroid Nodules with Ultrasound Images: Multi-view-based Siamese Convolutional Neural Network.
Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, So Lyung Jung, Tae-Jung Kim, Yong Oh Lee*, Baek Ki-Hyun
Endocrinology and Metabolism, 2024
9
Classification of laryngeal diseases including laryngeal cancer, benign mucosal disease, and vocal cord paralysis by artificial intelligence using voice analysis.
Kim, Hyun-Bum, Jaemin Song, Seho Park, Yong Oh Lee
2023
10
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography.