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Taejoon Eo

Showing results (1-10 of 13) with videos related to

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Medical Image Analysis|February 6, 2025
Ensemble and low-frequency mixing with diffusion models for accelerated MRI reconstructionYejee Shin, Geonhui Son, Dosik Hwang, et al.
Medical Image Analysis|April 17, 2020
Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding directionTaejoon Eo, Hyungseob Shin, Yohan Jun, et al.
Medical Image Analysis|March 15, 2021
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle methodYohan Jun, Hyungseob Shin, Taejoon Eo, et al.
Taehan Yongsang Uihakhoe Chi|October 14, 2022
[The Latest Trends in Attention Mechanisms and Their Application in Medical Imaging]Hyungseob Shin, Jeongryong Lee, Taejoon Eo, et al.
Magnetic Resonance in Medicine|April 7, 2018
KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance imagesTaejoon Eo, Yohan Jun, Taeseong Kim, et al.
Magnetic Resonance in Medicine|January 23, 2019
Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networksYohan Jun, Taejoon Eo, Hyungseob Shin, et al.
European Radiology|November 16, 2023
Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CTEuijoon Choi, Doohyun Park, Geonhui Son, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective StudyHyeyeon Won, Hye Sang Lee, Daemyung Youn, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 17, 2016
High-SNR multiple T<sub>2</sub> (*)-contrast magnetic resonance imaging using a robust denoising method based on tissue characteristicsTaejoon Eo, Taeseong Kim, Yohan Jun, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal FilteringGeonhui Son, Taejoon Eo, Jiwoong An, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Medical Image Analysis|February 6, 2025
Ensemble and low-frequency mixing with diffusion models for accelerated MRI reconstructionYejee Shin, Geonhui Son, Dosik Hwang, et al.
Medical Image Analysis|April 17, 2020
Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding directionTaejoon Eo, Hyungseob Shin, Yohan Jun, et al.
Medical Image Analysis|March 15, 2021
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle methodYohan Jun, Hyungseob Shin, Taejoon Eo, et al.
Taehan Yongsang Uihakhoe Chi|October 14, 2022
[The Latest Trends in Attention Mechanisms and Their Application in Medical Imaging]Hyungseob Shin, Jeongryong Lee, Taejoon Eo, et al.
Magnetic Resonance in Medicine|April 7, 2018
KIKI-net: cross-domain convolutional neural networks for reconstructing undersampled magnetic resonance imagesTaejoon Eo, Yohan Jun, Taeseong Kim, et al.
Magnetic Resonance in Medicine|January 23, 2019
Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networksYohan Jun, Taejoon Eo, Hyungseob Shin, et al.
European Radiology|November 16, 2023
Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CTEuijoon Choi, Doohyun Park, Geonhui Son, et al.
Diagnostics (Basel, Switzerland)|September 14, 2024
Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective StudyHyeyeon Won, Hye Sang Lee, Daemyung Youn, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 17, 2016
High-SNR multiple T<sub>2</sub> (*)-contrast magnetic resonance imaging using a robust denoising method based on tissue characteristicsTaejoon Eo, Taeseong Kim, Yohan Jun, et al.
Diagnostics (Basel, Switzerland)|August 26, 2022
Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal FilteringGeonhui Son, Taejoon Eo, Jiwoong An, et al.
Pageof 2