Beomhee Park
Ulsan College(KR)Asan Medical Center(KR)University of Ulsan(KR)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, COVID-19 diagnosis using AI, Lung Cancer Diagnosis and Treatment, Advanced Neural Network Applications, Medical Image Segmentation Techniques
Most-Cited Works
- → The Medical Segmentation Decathlon(2022)1,123 cited
- → Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks(2019)125 cited
- → Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets(2019)113 cited
- → Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model(2020)100 cited
- → A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images(2018)72 cited
- → Added Value of Deep Learning–based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study(2021)69 cited
- → CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training(2023)67 cited
- → Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT(2020)51 cited
- → Development of machine learning-based clinical decision support system for hepatocellular carcinoma(2020)44 cited
- → Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation(2019)34 cited