Ilsang Woo

Fully Automatic Segmentation of Acute Ischemic Lesions on Diffusion-Weighted Imaging Using Convolutional Neural Networks: Comparison with Conventional Algorithms

Ilsang Woo, A-Reum Lee, Seung Chai Jung et al. · Korean Journal of Radiology · 2019 · 60 citations · Full text

Prediction of Adverse Events in Stable Non-Variceal Gastrointestinal Bleeding Using Machine Learning

Dong‐Woo Seo, Hahn Yi, Beomhee Park et al. · Journal of Clinical Medicine · 2020 · 20 citations · Full text

Machine Learning, Prognosis, Gastroenterology +19

CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels

Da-in Eun, Ilsang Woo, Beomhee Park et al. · Computer Methods and Programs in Biomedicine · 2020 · 14 citations

Computed Tomography, Super-resolution Imaging, Image Reconstruction +12

Fully automated segmentation on brain ischemic and white matter hyperintensities lesions using semantic segmentation networks with squeeze-and-excitation blocks in MRI

A-Reum Lee, Ilsang Woo, Dong‐Wha Kang et al. · Informatics in Medicine Unlocked · 2020 · 13 citations · Full text

Squeeze-and-excitation Blocks, Convolutional Neural Network, Engineering +25