Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms. - BeomHee Park; Ilsan Woo; Won-Young Kim; Namkug Kim; Dongwoo Seo (AMIA, 2018)

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. - Sanghoon Jun; BeomHee Park; Joon Beom Seo; SangMin Lee 013; Namkug Kim (J. Digit. Imaging, 2018)

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. - Woong Bae; Seungho Lee; Yeha Lee; Beomhee Park; Minki Chung; Kyu-Hwan Jung (MICCAI (2), 2019)

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks. - BeomHee Park; Heejun Park; Sang Min Lee 013; Joon Beom Seo; Namkug Kim (J. Digit. Imaging, 2019)

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; Namkug Kim; Sang Min Lee 013; Joon Beom Seo (Comput. Methods Programs Biomed., 2020)

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. - Jongha Park; Jihye Yun; Namkug Kim; BeomHee Park; Yongwon Cho; Hee Jun Park; Mijeong Song; Minho Lee; Joon Beom Seo (J. Digit. Imaging, 2020)

Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. - Yongwon Cho; BeomHee Park; Sang Min Lee 013; Kyung Hee Lee; Joon Beom Seo; Namkug Kim (Comput. Biol. Medicine, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. - Yongwon Cho; Sang Min Lee 013; Young-Hoon Cho; June-Goo Lee; BeomHee Park; Gaeun Lee; Namkug Kim; Joon Beom Seo (Int. J. Imaging Syst. Technol., 2021)

Electrical Characterization of the Tongue and the Soft Palate Using Lumped-Element Model for Intraoral Neuromodulation. - Beomhee Park; Saurabh Biswas; Hangue Park (IEEE Trans. Biomed. Eng., 2021)

Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. - Minki Chung; Seo Taek Kong; Beomhee Park; Younjoon Chung; Kyu-Hwan Jung; Joon Beom Seo (J. Digit. Imaging, 2022)

CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training. - Kihyun You; Jawook Gu; Jiyeon Ham; Beomhee Park; Jiho Kim; Eun Kyoung Hong; Woonhyuk Baek; Byungseok Roh (MICCAI (2), 2023)

Enhancement of Semantic Segmentation by Image-Level Fine-Tuning to Overcome Image Pattern Imbalance in HRCT of Diffuse Infiltrative Lung Diseases. - Sungwon Ham; Beomhee Park; Jihye Yun; Sang Min Lee 013; Joon Beom Seo; Namkug Kim (Int. J. Imaging Syst. Technol., 2024)