Dongjun Choi

Seoul, Republic of Korea

Last Updated: 09/26/2026

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Found 13 publications

Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study.

Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance Study.

Journal: AJNR. American journal of neuroradiology

Published: January 23, 2024

Application of symmetry evaluation to deep learning algorithm in detection of mastoiditis on mastoid radiographs.

Application of symmetry evaluation to deep learning algorithm in detection of mastoiditis on mastoid radiographs.

Journal: Scientific reports

Published: September 27, 2022

Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning.

Intracranial steno-occlusive lesion detection on time-of-flight MR angiography using multi-task learning.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

Published: September 18, 2022

Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model.

Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model.

Journal: Scientific reports

Published: December 28, 2021

Tumor grading of soft tissue sarcomas: Assessment with whole-tumor histogram analysis of apparent diffusion coefficient.

Tumor grading of soft tissue sarcomas: Assessment with whole-tumor histogram analysis of apparent diffusion coefficient.

Journal: European journal of radiology

Published: November 26, 2021

Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs.

Deep Learning for Diagnosis of Paranasal Sinusitis Using Multi-View Radiographs.

Journal: Diagnostics (Basel, Switzerland)

Published: January 04, 2021

Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.

Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning.

Journal: European radiology

Published: December 23, 2020

Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity.

Can Additional Patient Information Improve the Diagnostic Performance of Deep Learning for the Interpretation of Knee Osteoarthritis Severity.

Journal: Journal of clinical medicine

Published: September 04, 2020

Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid.

Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid.

Journal: PloS one

Published: April 23, 2020

Pre-existing and machine learning-based models for cardiovascular risk prediction.

Pre-existing and machine learning-based models for cardiovascular risk prediction.

Journal: Scientific reports

Published: April 05, 2020

Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.

Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph.

Journal: European radiology

Published: October 25, 2019

Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists.

Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists.

Journal: AJR. American journal of roentgenology

Published: March 28, 2019

Showing 1-12 of 13

Last Updated: 09/26/2026