Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints. - Hyeonjin Kim; Helen Hong; Kidon Chang; Koon Ho Rha (Image Processing, 2019)

Renal parenchyma segmentation in abdominal CT images based on deep convolutional neural networks with similar atlas selection and transformation. - Hyeonjin Kim; Helen Hong; Koon Ho Rha (Computer-Aided Diagnosis, 2020)

Renal parenchyma segmentation in abdominal MR images based on cascaded deep convolutional neural network with signal intensity correction. - Hyeonjin Kim; Helen Hong; Dae Chul Jung; Kidon Chang; Koon Ho Rha (Computer-Aided Diagnosis, 2021)

Renal parenchyma segmentation based on a cascaded self-adaptive framework with local context-aware mix-up regularization in abdominal MR images. - Heeyoung Jeong; Hyeonjin Kim; Helen Hong; Dae Chul Jung; Kidon Chang; Koon Ho Rha (Computer-Aided Diagnosis, 2023)