BeomHee Park

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

Namkug Kim, Sang Min Lee, Da-in Eun, 2020, Comput. Methods Programs Biomed..

A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images

Joon Beom Seo, Namkug Kim, Chang-Wook Kim, 2018, Scientific Reports.

Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT Images

Joon Beom Seo, Sanghoon Jun, Namkug Kim, 2018, Journal of Digital Imaging.

Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms

Won-Young Kim, Namkug Kim, Dongwoo Seo, 2018, AMIA.

Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs

Joon Beom Seo, Yongwon Cho, BeomHee Park, 2021, Comput. Biol. Medicine.