Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers

Authors: Jang, Ryoungwoo, Kim, Namkug, Jang, Miso, Lee, Kyung Hwa, Lee, Sang Min, Lee, Kyung Hee, Noh, Han Na, Seo, Joon Beom

Source: JMIR Medical Informatics, Vol 8, Iss 8, p e18089 (2020)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: https://medinform.jmir.org/2020/8/e18089; https://doaj.org/toc/2291-9694

Access URL: https://doaj.org/article/15a7c757b0924d89ae7fc738aa7fd371

Learning representations by forward-propagating errors

Authors: Jang, Ryoungwoo

Subject Terms: Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2308.09728

Barcode Method for Generative Model Evaluation driven by Topological Data Analysis

Authors: Jang, Ryoungwoo, Kim, Minjee, Eun, Da-in, Cho, Kyungjin, Seo, Jiyeon, Kim, Namkug

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2106.02207

Development and validation of a hybrid deep learning–machine learning approach for severity assessment of COVID-19 and other pneumonias.

Authors: Park, Doohyun¹ (AUTHOR), Jang, Ryoungwoo² (AUTHOR), Chung, Myung Jin^3,4 (AUTHOR), An, Hyun Joon² (AUTHOR), Bak, Seongwon² (AUTHOR), Choi, Euijoon⁵ (AUTHOR), Hwang, Dosik^1,6,7,8 (AUTHOR) dosik.hwang@yonsei.ac.kr

Source: Scientific Reports. 8/17/2023, Vol. 13 Issue 1, p1-9. 9p.

Subject Terms: *DEEP learning, *MACHINE learning, *RESPIRATORY diseases, *COVID-19, *PNEUMONIA, *INFLUENZA

Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning

Authors: Kim, Young-Gon, Lee, Sang Min, Lee, Kyung Hee, Jang, Ryoungwoo, Seo, Joon Beom, Kim, Namkug

Source: European radiology. 30(9):4943-4951

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100167830609.0x000001&indx=1&recIds=ETOCvdc_100167830609.0x000001

Prediction of osteoporosis from simple hip radiography using deep learning algorithm.

Authors: Jang, Ryoungwoo¹ (AUTHOR), Choi, Jae Ho² (AUTHOR), Kim, Namkug³ (AUTHOR), Chang, Jae Suk⁴ (AUTHOR), Yoon, Pil Whan⁵ (AUTHOR), Kim, Chul-Ho⁶ (AUTHOR) oschulhokim@cau.ac.kr

Source: Scientific Reports. 10/7/2021, Vol. 11 Issue 1, p1-9. 9p.

Subject Terms: *DEEP learning, *MACHINE learning, *DUAL-energy X-ray absorptiometry, *OSTEOPOROSIS, *RADIOGRAPHY, *RECEIVER operating characteristic curves

Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approaches

Authors: Eun, Da-in, Jang, Ryoungwoo, Ha, Woo Seok, Lee, Hyunna, Jung, Seung Chai, Kim, Namkug

Source: Scientific reports. 10(1)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100174692003.0x000001&indx=1&recIds=ETOCvdc_100174692003.0x000001

Comparing chair stand test protocols: Fifth stand versus fifth sit.

Authors: Ji, Sunghwan¹, Jang, Ryoungwoo², Roh, Hyunchul³, Yoon, Seongjun³, Baek, Ji Yeon¹, Lee, Eunju¹, Jang, Il‐Young¹, Jung, Hee‐Won¹ dr.ecsta@gmail.com

Source: Geriatrics & Gerontology International. Dec2023, Vol. 23 Issue 12, p976-978. 3p.

Subject Terms: *CROSS-sectional method, *QUESTIONNAIRES, *RETROSPECTIVE studies, *EXERCISE tests, *BODY movement, *SARCOPENIA

Geographic Terms: SOUTH Korea

Emergency triage of brain computed tomography via anomaly detection with a deep generative model.

Authors: Lee, Seungjun, Jeong, Boryeong, Kim, Minjee, Jang, Ryoungwoo, Paik, Wooyul, Kang, Jiseon, Chung, Won Jung, Hong, Gil-Sun, Kim, Namkug

Source: Nature Communications; 7/22/2022, Vol. 13 Issue 1, p1-11, 11p

Subject Terms: BRAIN tomography, MEDICAL triage, NEUROLOGICAL emergencies, COMPUTED tomography