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Hyungseob Shin

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

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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.
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.
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|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|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.
NPJ Digital Medicine|March 5, 2025
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomasYunsu Byeon, Yae Won Park, Soohyun Lee, et al.
European Radiology|May 7, 2023
Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRIHyungseob Shin, Ji Eun Park, Yohan Jun, et al.
IEEE Transactions on Medical Imaging|April 30, 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image ReconstructionMatthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, et al.
Medical Image Analysis|October 25, 2022
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentationReuben Dorent, Aaron Kujawa, Marina Ivory, et al.
Pageof 1

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

Sort By:
Pageof 1
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.
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.
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|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|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.
NPJ Digital Medicine|March 5, 2025
Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomasYunsu Byeon, Yae Won Park, Soohyun Lee, et al.
European Radiology|May 7, 2023
Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRIHyungseob Shin, Ji Eun Park, Yohan Jun, et al.
IEEE Transactions on Medical Imaging|April 30, 2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image ReconstructionMatthew J Muckley, Bruno Riemenschneider, Alireza Radmanesh, et al.
Medical Image Analysis|October 25, 2022
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentationReuben Dorent, Aaron Kujawa, Marina Ivory, et al.
Pageof 1