Generative adversarial network for glioblastoma ensures morphologic variations and improves diagnostic model for isocitrate dehydrogenase mutant type

by Ji Eun Park, Dain Eun, Ho Sung Kim, Da Hyun Lee, Ryoung Woo Jang, Namkug Kim
Published 2021

Deep-learned time-signal intensity pattern analysis using an autoencoder captures magnetic resonance perfusion heterogeneity for brain tumor differentiation

by Ji Eun Park, Ho Sung Kim, Junkyu Lee, E.-Nae Cheong, Ilah Shin, Sung Soo Ahn, Woo Hyun Shim
Published 2020

Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation

by Yae Won Park, Dongmin Choi, Ji Eun Park, Sung Soo Ahn, Hwiyoung Kim, Jong Hee Chang, Se Hoon Kim, Ho Sung Kim, Seung-Koo Lee
Published 2021

Pretreatment brain volumes can affect the effectiveness of deep brain stimulation in Parkinson's disease patients

by Younghee Yim, Sang Joon Kim, Seung Chai Jung, Ho Sung Kim, Choong Gon Choi, Jung Kyo Lee, Chong Sik Lee, Seung Hyun Lee, Woo Hyun Shim, E.-N. Cheong, Seong-Cheol Park
Published 2020