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AJNR. American Journal of Neuroradiology
|
October 23, 2024
Automated Quantification of Cerebral Microbleeds in SWI: Association with Vascular Risk Factors, White Matter Hyperintensity Burden, and Cognitive Function
Ji Su Ko, Yangsean Choi, Eun Seon Jeong, et al.
Scientific Reports
|
May 20, 2025
Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping
Grace Yoojin Lee, Hee Yeon Kwon, Kanggil Park, et al.
Journal of Imaging Informatics in Medicine
|
May 1, 2024
Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center Datasets
Hyunsu Jeong, Hyunseok Lim, Chiho Yoon, et al.
AJNR. American Journal of Neuroradiology
|
June 12, 2025
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features
Grace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, et al.
NPJ Parkinson'S Disease
|
May 12, 2025
Baseline [<sup>18</sup>F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson's disease
Grace Yoojin Lee, Jongjun Won, Sunwoo Kim, et al.
Korean Journal of Radiology
|
September 19, 2023
Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
Gil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Journal of Imaging Informatics in Medicine
|
January 6, 2025
Deep Learning Analysis of White Matter Hyperintensity and its Association with Comprehensive Vascular Factors in Two Large General Populations
Grace Yoojin Lee, Yun Ho Choi, Dongwon Kim, et al.
Cell Reports. Medicine
|
June 28, 2025
Enhancing 3D dopamine transporter imaging as a biomarker for Parkinson's disease via self-supervised learning with diffusion models
Jongjun Won, Grace Yoojin Lee, Sungyang Jo, et al.
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of 1
Search research articles
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Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
AJNR. American Journal of Neuroradiology
|
October 23, 2024
Automated Quantification of Cerebral Microbleeds in SWI: Association with Vascular Risk Factors, White Matter Hyperintensity Burden, and Cognitive Function
Ji Su Ko, Yangsean Choi, Eun Seon Jeong, et al.
Scientific Reports
|
May 20, 2025
Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping
Grace Yoojin Lee, Hee Yeon Kwon, Kanggil Park, et al.
Journal of Imaging Informatics in Medicine
|
May 1, 2024
Robust Ensemble of Two Different Multimodal Approaches to Segment 3D Ischemic Stroke Segmentation Using Brain Tumor Representation Among Multiple Center Datasets
Hyunsu Jeong, Hyunseok Lim, Chiho Yoon, et al.
AJNR. American Journal of Neuroradiology
|
June 12, 2025
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features
Grace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, et al.
NPJ Parkinson'S Disease
|
May 12, 2025
Baseline [<sup>18</sup>F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson's disease
Grace Yoojin Lee, Jongjun Won, Sunwoo Kim, et al.
Korean Journal of Radiology
|
September 19, 2023
Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
Gil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Journal of Imaging Informatics in Medicine
|
January 6, 2025
Deep Learning Analysis of White Matter Hyperintensity and its Association with Comprehensive Vascular Factors in Two Large General Populations
Grace Yoojin Lee, Yun Ho Choi, Dongwon Kim, et al.
Cell Reports. Medicine
|
June 28, 2025
Enhancing 3D dopamine transporter imaging as a biomarker for Parkinson's disease via self-supervised learning with diffusion models
Jongjun Won, Grace Yoojin Lee, Sungyang Jo, et al.
Page
of 1