Ho Sung Kim

Federated learning enables big data for rare cancer boundary detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards et al. · Nature Communications · 2022 · 306 citations · Full text

Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

Ji Eun Park, Donghyun Kim, Ho Sung Kim et al. · European Radiology · 2019 · 271 citations

Oncology, Radiation Therapy, Radiomics Quality Score +9

Incorporating diffusion- and perfusion-weighted MRI into a radiomics model improves diagnostic performance for pseudoprogression in glioblastoma patients

Jung Youn Kim, Ji Eun Park, Youngheun Jo et al. · Neuro-Oncology · 2018 · 220 citations · Full text

Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent–enhanced CT Images in the Liver

Kyu Jin Choi, Jong Keon Jang, Seung Soo Lee et al. · Radiology · 2018 · 204 citations · Full text

Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma

Minjae Kim, So Yeong Jung, Ji Eun Park et al. · European Radiology · 2019 · 156 citations

Neuro-oncology, Medical Imaging, Medicine +13