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Yohan Jun

Showing results (11-20 of 28) with videos related to

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Investigative Radiology|August 19, 2024
Beyond the Conventional Structural MRI: Clinical Application of Deep Learning Image Reconstruction and Synthetic MRI of the BrainYangsean Choi, Ji Su Ko, Ji Eun Park, et al.
European Radiology|March 19, 2021
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imagingYae Won Park, Yohan Jun, Yangho Lee, et al.
Pediatric Radiology|February 3, 2026
3D-QALAS synthetic MRI with Zero-DeepSub in children: initial experience including post-contrast imaging feasibilitySuely Fazio Ferraciolli, Yohan Jun, Sergio Valencia, et al.
Magnetic Resonance in Medicine|October 15, 2025
MIMOSA: Multi-Parametric Imaging Using Multiple-Echoes With Optimized Simultaneous Acquisition for Highly-Efficient Quantitative MRIYuting Chen, Yohan Jun, Amir Heydari, et al.
Magnetic Resonance in Medicine|January 29, 2024
Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALASYohan Jun, Yamin Arefeen, Jaejin Cho, et al.
Arxiv|August 20, 2025
MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRIYuting Chen, Yohan Jun, Amir Heydari, et al.
Arxiv|September 24, 2024
PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRIYohan Jun, Qiang Liu, Ting Gong, et al.
European Radiology|April 13, 2023
Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learningYohan Jun, Yae Won Park, Hyungseob Shin, et al.
Scientific Reports|June 23, 2018
Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumorsYohan Jun, Taejoon Eo, Taeseong Kim, et al.
Nature Communications|February 10, 2019
Megahertz-wave-transmitting conducting polymer electrode for device-to-device integrationTaehoon Kim, Gwangmook Kim, Hyeohn Kim, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Investigative Radiology|August 19, 2024
Beyond the Conventional Structural MRI: Clinical Application of Deep Learning Image Reconstruction and Synthetic MRI of the BrainYangsean Choi, Ji Su Ko, Ji Eun Park, et al.
European Radiology|March 19, 2021
Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imagingYae Won Park, Yohan Jun, Yangho Lee, et al.
Pediatric Radiology|February 3, 2026
3D-QALAS synthetic MRI with Zero-DeepSub in children: initial experience including post-contrast imaging feasibilitySuely Fazio Ferraciolli, Yohan Jun, Sergio Valencia, et al.
Magnetic Resonance in Medicine|October 15, 2025
MIMOSA: Multi-Parametric Imaging Using Multiple-Echoes With Optimized Simultaneous Acquisition for Highly-Efficient Quantitative MRIYuting Chen, Yohan Jun, Amir Heydari, et al.
Magnetic Resonance in Medicine|January 29, 2024
Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALASYohan Jun, Yamin Arefeen, Jaejin Cho, et al.
Arxiv|August 20, 2025
MIMOSA: Multi-parametric Imaging using Multiple-echoes with Optimized Simultaneous Acquisition for highly-efficient quantitative MRIYuting Chen, Yohan Jun, Amir Heydari, et al.
Arxiv|September 24, 2024
PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRIYohan Jun, Qiang Liu, Ting Gong, et al.
European Radiology|April 13, 2023
Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learningYohan Jun, Yae Won Park, Hyungseob Shin, et al.
Scientific Reports|June 23, 2018
Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumorsYohan Jun, Taejoon Eo, Taeseong Kim, et al.
Nature Communications|February 10, 2019
Megahertz-wave-transmitting conducting polymer electrode for device-to-device integrationTaehoon Kim, Gwangmook Kim, Hyeohn Kim, et al.
Pageof 3