Sungwon Ham

Machine Learning Approach to Identify Stroke Within 4.5 Hours

Hyunna Lee, Eun‐Jae Lee, Sungwon Ham et al. · Stroke · 2020 · 201 citations · Full text

Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma

Jihye Yun, Ji Eun Park, Hyunna Lee et al. · Scientific Reports · 2019 · 127 citations · Full text

Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status

Chong Hyun Suh, Kyung Hwa Lee, Young Jun Choi et al. · Scientific Reports · 2020 · 60 citations · Full text

Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT

Taehun Kim, Kyung Hwa Lee, Sungwon Ham et al. · Scientific Reports · 2020 · 51 citations · Full text

Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma

Ji Eun Park, Sungwon Ham, Ho Sung Kim et al. · European Radiology · 2020 · 38 citations

Engineering, Glioma, Diagnostic Imaging +16