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BeomHee Park
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2020 – today
- 2024
- [j9]Sungwon Ham, Beomhee Park, Jihye Yun, Sang Min Lee, Joon Beom Seo, Namkug Kim:
Enhancement of Semantic Segmentation by Image-Level Fine-Tuning to Overcome Image Pattern Imbalance in HRCT of Diffuse Infiltrative Lung Diseases. Int. J. Imaging Syst. Technol. 34(5) (2024) - 2023
- [c3]Kihyun You
, Jawook Gu
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training. MICCAI (2) 2023: 101-111 - [i3]Kihyun You, Jawook Gu, Jiyeon Ham, Beomhee Park, Jiho Kim, Eun Kyoung Hong, Woonhyuk Baek, Byungseok Roh:
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training. CoRR abs/2310.13292 (2023) - 2022
- [j8]Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. J. Digit. Imaging 35(4): 1061-1068 (2022) - 2021
- [j7]Yongwon Cho
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs. Comput. Biol. Medicine 136: 104750 (2021) - [j6]Yongwon Cho
Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks. Int. J. Imaging Syst. Technol. 31(1): 72-81 (2021) - [j5]Beomhee Park
Electrical Characterization of the Tongue and the Soft Palate Using Lumped-Element Model for Intraoral Neuromodulation. IEEE Trans. Biomed. Eng. 68(10): 3151-3160 (2021) - [i2]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - 2020
- [j4]Da-in Eun, Ilsang Woo, BeomHee Park, Namkug Kim, Sang Min Lee, Joon Beom Seo:
CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernels. Comput. Methods Programs Biomed. 196: 105615 (2020) - [j3]Jongha Park, Jihye Yun, Namkug Kim, BeomHee Park, Yongwon Cho, Hee Jun Park, Mijeong Song, Minho Lee, Joon Beom Seo:
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets. J. Digit. Imaging 33(1): 221-230 (2020)
2010 – 2019
- 2019
- [j2]BeomHee Park, Heejun Park, Sang Min Lee, Joon Beom Seo, Namkug Kim
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks. J. Digit. Imaging 32(6): 1019-1026 (2019) - [c2]Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung:
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (2) 2019: 228-236 - [i1]Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung:
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. CoRR abs/1909.00548 (2019) - 2018
- [j1]Sanghoon Jun, BeomHee Park, Joon Beom Seo, SangMin Lee, Namkug Kim
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. J. Digit. Imaging 31(2): 235-244 (2018) - [c1]BeomHee Park, Ilsan Woo, Won-Young Kim, Namkug Kim, Dongwoo Seo:
Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms. AMIA 2018
Coauthor Index
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