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| 1 |
Identification of Sleep Apnea Severity Based on Deep Learning from a Short-term Normal ECG
Erdenebayar Urtnasan, Jong-Uk Park, Eun Yeon Joo, Kyoung Joung Lee
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| 2 |
Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry
Jihyun Yoon, Kwang Gi Kim, Young Jae Kim, Sangheon Lim, Yeon-Ho Park, Doojin Kim, Hee-Taik Kang, Doo-Ho Lee
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| 3 |
Machine Learning Application in Diabetes and Endocrine Disorders
Namki Hong, Heajeong Park, Yumie Rhee
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| 4 |
Nuclear Medicine Physics: Review of Advanced Technology
Jungsu S. Oh
Prog Med Phys.2020;31(3):81-89. Published online 2020 September 30
DOI: http://dx.doi.org/10.14316/pmp.2020.31.3.81
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| 5 |
Deep Learning in Radiation Oncology
Wonjoong Cheon, Haksoo Kim, Jinsung Kim
Prog Med Phys.2020;31(3):111-123. Published online 2020 September 30
DOI: http://dx.doi.org/10.14316/pmp.2020.31.3.111
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| 6 |
Analysis of Adverse Drug Reactions Identified in Nursing Notes Using Reinforcement Learning
Eunjoo Jeon, Youngsam Kim, Hojun Park, Rae Woong Park, Hyopil Shin, Hyeoun-Ae Park
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| 7 |
Deep Learning in Upper Gastrointestinal Disorders: Status and Future Perspectives
Chang Seok Bang
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| 8 |
Machine Learning Applications in Endocrinology and Metabolism Research: An Overview
Namki Hong, Heajeong Park, Yumie Rhee
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| 9 |
Artificial intelligence, machine learning, and deep learning in women’s health nursing
Geum Hee Jeong
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| 10 |
Radiomics and Deep Learning: Hepatic Applications
Hyo Jung Park, Bumwoo Park, Seung Soo Lee
Korean J Radiol.2020;21(4):387-401. Published online 2020 March 4
DOI: http://dx.doi.org/10.3348/kjr.2019.0752
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| 11 |
Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm
Yoon Joo Shin, Won Chang, Jong Chul Ye, Eunhee Kang, Dong Yul Oh, Yoon Jin Lee, Ji Hoon Park, Young Hoon Kim
Korean J Radiol.2020;21(3):356-364. Published online 2020 February 11
DOI: http://dx.doi.org/10.3348/kjr.2019.0413
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| 12 |
Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department
Jae Yong Yu, Gab Yong Jeong, Ok Soon Jeong, Dong Kyung Chang, Won Chul Cha
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| 13 |
Web-Based Spine Segmentation Using Deep Learning in Computed Tomography Images
Young Jae Kim, Bilegt Ganbold, Kwang Gi Kim
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| 14 |
Possibility of predicting missing teeth using deep learning: a pilot study
Seon-Jip Kim, Dohyoung Rim, Jeong Uk Heo, Hyun-Jae Cho
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| 15 |
Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration
Hun-Sung Kim, Dai-Jin Kim, Kun-Ho Yoon
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| 16 |
Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography
Hyo Jung Park, Yongbin Shin, Jisuk Park, Hyosang Kim, In Seob Lee, Dong-Woo Seo, Jimi Huh, Tae Young Lee, TaeYong Park, Jeongjin Lee, Kyung Won Kim
Korean J Radiol.2020;21(1):88-100. Published online 2019 December 16
DOI: http://dx.doi.org/10.3348/kjr.2019.0470
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| 17 |
Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning
Synho Do, Kyoung Doo Song, Joo Won Chung
Korean J Radiol.2020;21(1):33-41. Published online 2019 December 6
DOI: http://dx.doi.org/10.3348/kjr.2019.0312
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| 18 |
Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis
Ibrahim Alnujaim, Youngwook Kim
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| 19 |
Deep Neural Network-Based Concentration Model for Oak Pollen Allergy Warning in South Korea
Yun Am Seo, Kyu Rang Kim, Changbum Cho, Jae-Won Oh, Tae Hee Kim
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| 20 |
Deep Learning Algorithm for Reducing CT Slice Thickness: Effect on Reproducibility of Radiomic Features in Lung Cancer
Sohee Park, Sang Min Lee, Kyung-Hyun Do, June-Goo Lee, Woong Bae, Hyunho Park, Kyu-Hwan Jung, Joon Beom Seo
Korean J Radiol.2019;20(10):1431-1440. Published online 2019 August 27
DOI: http://dx.doi.org/10.3348/kjr.2019.0212
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