BeomHee Park

Orcid: 0000-0001-8672-4840

According to our database1, BeomHee Park authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
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., 2024

2023
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.
J. Digit. Imaging, 2022

2021
Electrical Characterization of the Tongue and the Soft Palate Using Lumped-Element Model for Intraoral Neuromodulation.
IEEE Trans. Biomed. Eng., 2021

Deep chest X-ray: Detection and classification of lesions based on deep convolutional neural networks.
Int. J. Imaging Syst. Technol., 2021

The Medical Segmentation Decathlon.
CoRR, 2021

Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographs.
Comput. Biol. Medicine, 2021

2020
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets.
J. Digit. Imaging, 2020

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., 2020

2019
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks.
J. Digit. Imaging, 2019

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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.
J. Digit. Imaging, 2018

Preliminary Validation of Prediction of Poor Outcome in Initially Stable Upper Gastrointestinal Bleeding ED Patients Using Multiple Machine Learning Algorithms.
Proceedings of the AMIA 2018, 2018


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