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Journal of Korean Medical Science
|
August 30, 2023
Value of Breast MRI and Nomogram After Negative Axillary Ultrasound for Predicting Axillary Lymph Node Metastasis in Patients With Clinically T1-2 N0 Breast Cancer
Sung Eun Song, Kyu Ran Cho, Yongwon Cho, et al.
Inquiry : a Journal of Medical Care Organization, Provision and Financing
|
March 23, 2026
A Preliminary Study on Comparative Eye Tracking Analysis Using a Meta Quest Pro
Syed Ali Naqi Raza, Yongwon Cho, Si-An Lee, et al.
Diagnostics (Basel, Switzerland)
|
October 28, 2023
Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI
Kyu-Chong Lee, Yongwon Cho, Kyung-Sik Ahn, et al.
Journal of the Belgian Society of Radiology
|
October 10, 2022
Dual-Layer Spectral CT of Pancreas Ductal Adenocarcinoma: Can Virtual Monoenergetic Images of the Portal Venous Phase Be an Alternative to the Pancreatic-Phase Scan?
Yeo Eun Han, Beom Jin Park, Deuk Jae Sung, et al.
European Radiology
|
July 18, 2024
Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion
Sung-Hye You, Yongwon Cho, Byungjun Kim, et al.
Diagnostics (Basel, Switzerland)
|
February 25, 2022
Lumbar Spine Computed Tomography to Magnetic Resonance Imaging Synthesis Using Generative Adversarial Network: Visual Turing Test
Ki-Taek Hong, Yongwon Cho, Chang Ho Kang, et al.
Computer Methods and Programs in Biomedicine
|
August 5, 2022
Computer-aided hepatocellular carcinoma detection on the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging using a convolutional neural network: Feasibility evaluation with multi-sequence data
Yongwon Cho, Yeo Eun Han, Min Ju Kim, et al.
Abdominal Radiology (New York)
|
December 20, 2025
Beyond diagnosis: deep-learning-based analysis of hospitalization using abdominal radiographs in the emergency department
Yeo Eun Han, Yongwon Cho, Beom Jin Park, et al.
Journal of Digital Imaging
|
September 25, 2021
Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction
Yongwon Cho, Min Ju Kim, Beom Jin Park, et al.
Scientific Reports
|
October 27, 2019
A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities
Beomhee Park, Yongwon Cho, Gaeun Lee, et al.
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Search research articles
Search
Showing results (41-50 of 61) with videos related to
Sort By:
Page
of 7
Journal of Korean Medical Science
|
August 30, 2023
Value of Breast MRI and Nomogram After Negative Axillary Ultrasound for Predicting Axillary Lymph Node Metastasis in Patients With Clinically T1-2 N0 Breast Cancer
Sung Eun Song, Kyu Ran Cho, Yongwon Cho, et al.
Inquiry : a Journal of Medical Care Organization, Provision and Financing
|
March 23, 2026
A Preliminary Study on Comparative Eye Tracking Analysis Using a Meta Quest Pro
Syed Ali Naqi Raza, Yongwon Cho, Si-An Lee, et al.
Diagnostics (Basel, Switzerland)
|
October 28, 2023
Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI
Kyu-Chong Lee, Yongwon Cho, Kyung-Sik Ahn, et al.
Journal of the Belgian Society of Radiology
|
October 10, 2022
Dual-Layer Spectral CT of Pancreas Ductal Adenocarcinoma: Can Virtual Monoenergetic Images of the Portal Venous Phase Be an Alternative to the Pancreatic-Phase Scan?
Yeo Eun Han, Beom Jin Park, Deuk Jae Sung, et al.
European Radiology
|
July 18, 2024
Synthetic temporal bone CT generation from UTE-MRI using a cycleGAN-based deep learning model: advancing beyond CT-MR imaging fusion
Sung-Hye You, Yongwon Cho, Byungjun Kim, et al.
Diagnostics (Basel, Switzerland)
|
February 25, 2022
Lumbar Spine Computed Tomography to Magnetic Resonance Imaging Synthesis Using Generative Adversarial Network: Visual Turing Test
Ki-Taek Hong, Yongwon Cho, Chang Ho Kang, et al.
Computer Methods and Programs in Biomedicine
|
August 5, 2022
Computer-aided hepatocellular carcinoma detection on the hepatobiliary phase of gadoxetic acid-enhanced magnetic resonance imaging using a convolutional neural network: Feasibility evaluation with multi-sequence data
Yongwon Cho, Yeo Eun Han, Min Ju Kim, et al.
Abdominal Radiology (New York)
|
December 20, 2025
Beyond diagnosis: deep-learning-based analysis of hospitalization using abdominal radiographs in the emergency department
Yeo Eun Han, Yongwon Cho, Beom Jin Park, et al.
Journal of Digital Imaging
|
September 25, 2021
Active Learning for Efficient Segmentation of Liver with Convolutional Neural Network-Corrected Labeling in Magnetic Resonance Imaging-Derived Proton Density Fat Fraction
Yongwon Cho, Min Ju Kim, Beom Jin Park, et al.
Scientific Reports
|
October 27, 2019
A Curriculum Learning Strategy to Enhance the Accuracy of Classification of Various Lesions in Chest-PA X-ray Screening for Pulmonary Abnormalities
Beomhee Park, Yongwon Cho, Gaeun Lee, et al.
Page
of 7