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Journal of Orthopaedic Surgery and Research
|
November 20, 2024
HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment
Young-Tak Kim, Beom-Su Han, Jung Bin Kim, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
October 11, 2025
Electroencephalography functional network for screening amyloid positivity in mild cognitive impairment: a cross-sectional study
Jooheon Kong, Mingyeong So, Hyunsung Park, et al.
European Journal of Radiology
|
July 6, 2017
Corrigendum to "Ultra-low dose abdominal MDCT: Using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study" [Eur. J. Radiol. 84 (2015) 2-10]
Ranish Deedar Ali Khawaja, Sarabjeet Singh, Michael Blake, et al.
European Journal of Radiology
|
December 3, 2014
Ultra-low dose abdominal MDCT: using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study
Ranish Deedar Ali Khawaja, Sarabjeet Singh, Michael Blake, et al.
Circulation. Genomic and Precision Medicine
|
May 4, 2026
Detecting and Mitigating Bias for Inclusive and Trustworthy Clinical Research: A Scientific Statement From the American Heart Association
Judy Zhong, Salah Al-Zaiti, Derrick A Bennett, et al.
Nature Communications
|
April 7, 2022
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
Doyun Kim, Joowon Chung, Jongmun Choi, et al.
Investigative Radiology
|
April 26, 2013
Histogram analysis of lipid-core plaques in coronary computed tomographic angiography: ex vivo validation against histology
Christopher L Schlett, Pál Maurovich-Horvat, Maros Ferencik, et al.
Scientific Reports
|
December 8, 2022
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
Nature Biomedical Engineering
|
April 6, 2019
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, et al.
Scientific Reports
|
March 16, 2023
Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
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Search research articles
Search
Showing results (61-70 of 74) with videos related to
Sort By:
Page
of 8
Journal of Orthopaedic Surgery and Research
|
November 20, 2024
HKA-Net: clinically-adapted deep learning for automated measurement of hip-knee-ankle angle on lower limb radiography for knee osteoarthritis assessment
Young-Tak Kim, Beom-Su Han, Jung Bin Kim, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
|
October 11, 2025
Electroencephalography functional network for screening amyloid positivity in mild cognitive impairment: a cross-sectional study
Jooheon Kong, Mingyeong So, Hyunsung Park, et al.
European Journal of Radiology
|
July 6, 2017
Corrigendum to "Ultra-low dose abdominal MDCT: Using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study" [Eur. J. Radiol. 84 (2015) 2-10]
Ranish Deedar Ali Khawaja, Sarabjeet Singh, Michael Blake, et al.
European Journal of Radiology
|
December 3, 2014
Ultra-low dose abdominal MDCT: using a knowledge-based Iterative Model Reconstruction technique for substantial dose reduction in a prospective clinical study
Ranish Deedar Ali Khawaja, Sarabjeet Singh, Michael Blake, et al.
Circulation. Genomic and Precision Medicine
|
May 4, 2026
Detecting and Mitigating Bias for Inclusive and Trustworthy Clinical Research: A Scientific Statement From the American Heart Association
Judy Zhong, Salah Al-Zaiti, Derrick A Bennett, et al.
Nature Communications
|
April 7, 2022
Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
Doyun Kim, Joowon Chung, Jongmun Choi, et al.
Investigative Radiology
|
April 26, 2013
Histogram analysis of lipid-core plaques in coronary computed tomographic angiography: ex vivo validation against histology
Christopher L Schlett, Pál Maurovich-Horvat, Maros Ferencik, et al.
Scientific Reports
|
December 8, 2022
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
Nature Biomedical Engineering
|
April 6, 2019
An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets
Hyunkwang Lee, Sehyo Yune, Mohammad Mansouri, et al.
Scientific Reports
|
March 16, 2023
Author Correction: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Joowon Chung, Doyun Kim, Jongmun Choi, et al.
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