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Yoonho Nam

Showing results (61-70 of 91) with videos related to

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IEEE Transactions on Medical Imaging|June 30, 2021
Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-MapsSooyeon Ji, Jinhee Jeong, Se-Hong Oh, et al.
Plos One|June 1, 2019
Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionalsYangsean Choi, Kook Jin Ahn, Yoonho Nam, et al.
Journal of Imaging Informatics in Medicine|February 5, 2024
Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility StudyYoonho Nam, Su-Youn Kim, Kyu-Ah Kim, et al.
Korean Journal of Radiology|January 11, 2019
Seed-Based Resting-State Functional MRI for Presurgical Localization of the Motor Cortex: A Task-Based Functional MRI-Determined Seed Versus an Anatomy-Determined SeedJi Young Lee, Yangsean Choi, Kook Jin Ahn, et al.
AJNR. American Journal of Neuroradiology|May 8, 2026
Associations between Paramagnetic Rim Lesions and Gadolinium Contrast Permeability of Perivascular Spaces in Patients with Multiple Sclerosis: A T1 mapping studyHye Hyeon Moon, Eunseon Jeong, Muhannad Alanazi, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 19, 2019
Data-driven synthetic MRI FLAIR artifact correction via deep neural networkKanghyun Ryu, Yoonho Nam, Sung-Min Gho, et al.
Scientific Reports|July 28, 2021
Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumorsSeung Eun Lee, Joon-Yong Jung, Yoonho Nam, et al.
Magnetic Resonance in Medicine|October 10, 2013
Improved susceptibility weighted imaging method using multi-echo acquisitionSung Suk Oh, Se-Hong Oh, Yoonho Nam, et al.
Radiology|March 31, 2021
Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CTJi Hyun Hong, Joon-Yong Jung, Aram Jo, et al.
European Radiology|November 15, 2022
MR-self Noise2Noise: self-supervised deep learning-based image quality improvement of submillimeter resolution 3D MR imagesWoojin Jung, Hyun-Soo Lee, Minkook Seo, et al.
Pageof 10

Showing results (61-70 of 91) with videos related to

Sort By:
Pageof 10
IEEE Transactions on Medical Imaging|June 30, 2021
Quad-Contrast Imaging: Simultaneous Acquisition of Four Contrast-Weighted Images (PD-Weighted, T₂-Weighted, PD-FLAIR and T₂-FLAIR Images) With Synthetic T₁-Weighted Image, T₁- and T₂-MapsSooyeon Ji, Jinhee Jeong, Se-Hong Oh, et al.
Plos One|June 1, 2019
Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionalsYangsean Choi, Kook Jin Ahn, Yoonho Nam, et al.
Journal of Imaging Informatics in Medicine|February 5, 2024
Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility StudyYoonho Nam, Su-Youn Kim, Kyu-Ah Kim, et al.
Korean Journal of Radiology|January 11, 2019
Seed-Based Resting-State Functional MRI for Presurgical Localization of the Motor Cortex: A Task-Based Functional MRI-Determined Seed Versus an Anatomy-Determined SeedJi Young Lee, Yangsean Choi, Kook Jin Ahn, et al.
AJNR. American Journal of Neuroradiology|May 8, 2026
Associations between Paramagnetic Rim Lesions and Gadolinium Contrast Permeability of Perivascular Spaces in Patients with Multiple Sclerosis: A T1 mapping studyHye Hyeon Moon, Eunseon Jeong, Muhannad Alanazi, et al.
Journal of Magnetic Resonance Imaging : JMRI|March 19, 2019
Data-driven synthetic MRI FLAIR artifact correction via deep neural networkKanghyun Ryu, Yoonho Nam, Sung-Min Gho, et al.
Scientific Reports|July 28, 2021
Radiomics of diffusion-weighted MRI compared to conventional measurement of apparent diffusion-coefficient for differentiation between benign and malignant soft tissue tumorsSeung Eun Lee, Joon-Yong Jung, Yoonho Nam, et al.
Magnetic Resonance in Medicine|October 10, 2013
Improved susceptibility weighted imaging method using multi-echo acquisitionSung Suk Oh, Se-Hong Oh, Yoonho Nam, et al.
Radiology|March 31, 2021
Development and Validation of a Radiomics Model for Differentiating Bone Islands and Osteoblastic Bone Metastases at Abdominal CTJi Hyun Hong, Joon-Yong Jung, Aram Jo, et al.
European Radiology|November 15, 2022
MR-self Noise2Noise: self-supervised deep learning-based image quality improvement of submillimeter resolution 3D MR imagesWoojin Jung, Hyun-Soo Lee, Minkook Seo, et al.
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