JICS

1. A Method for Region-Specific Anomaly Detection on Patch-wise Segmented PA Chest Radiograph

Hyun-bin Kim, Jun-Chul Chun, Vol. 24, No. 1, pp. 49-59, Feb. 2023

10.7472/jksii.2023.24.1.49
Keywords: Anomaly Detection, Chest Radiograph, computer vision, Semi-supervised learning, Image Feature Modeling

2. Makeup transfer by applying a loss function based on facial segmentation combining edge with color information

So-hyun Lim, Jun-chul Chun, Vol. 23, No. 4, pp. 35-43, Aug. 2022

10.7472/jksii.2022.23.4.35
Keywords: Makeup Transfer, generative adversarial networks, Histogram of Gradient, BeautyGAN, Loss Function, Facial segmentation

3. Leision Detection in Chest X-ray Images based on Coreset of Patch Feature

Hyun-bin Kim, Jun-Chul Chun, Vol. 23, No. 3, pp. 35-45, Jun. 2022

10.7472/jksii.2022.23.3.35
Keywords: Anomaly Detection, X-Ray image, active learning, unsupervision, Deep Learning

4. Image-to-Image Translation Based on U-Net with R2 and Attention

So-hyun Lim, Jun-chul Chun, Vol. 21, No. 4, pp. 9-16, Aug. 2020

10.7472/jksii.2020.21.4.9
Keywords: Image-to-Image Translation, conditional GAN, U-net

5. GAN-based shadow removal using context information

Hee-jin Yoon, Kang-jik Kim, Jun-chul Chun, Vol. 20, No. 6, pp. 29-36, Dec. 2019

10.7472/jksii.2019.20.6.29
Keywords: Shadow removal, Generative Adversarial Network, deep-learning