Beomhee Park

发表

Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT

Namkug Kim, Guk Bae Kim, Taehun Kim, 2020, Scientific Reports.

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation

Yeha Lee, Seungho Lee, Woong Bae, 2019, MICCAI.

Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets

Joon Beom Seo, Namkug Kim, Jihye Yun, 2019, Journal of Digital Imaging.

Curriculum learning from patch to entire image for screening pulmonary abnormal patterns in chest-PA X-ray: intra- and extra-validations on multi-center datasets

Joon Beom Seo, Namkug Kim, Beomhee Park, 2018 .

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides

Namkug Kim, Beomhee Park, Yongwon Cho, 2019, Scientific Reports.

Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural Networks

Joon Beom Seo, Namkug Kim, Heejun Park, 2019, Journal of Digital Imaging.

The Medical Segmentation Decathlon pdf

Yan Wang, Akshay Pai, Daguang Xu, 2021, ArXiv.

Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model

Eun Mi Song, Namkug Kim, Sung Wook Hwang, 2020, Scientific Reports.

A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities

Joon Beom Seo, Namkug Kim, Beomhee Park, 2019, Scientific Reports.