Hyungseob Shin

Seoul, Republic of Korea

Last Updated: 09/26/2026

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Found 8 publications

Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas.

Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas.

Journal: NPJ digital medicine
Published: September 12, 2024

Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning.

Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning.

Journal: European radiology
Published: September 08, 2022

Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI.

Deep learning referral suggestion and tumour discrimination using explainable artificial intelligence applied to multiparametric MRI.

Journal: European radiology
Published: September 07, 2022

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.

Journal: Medical image analysis
Published: December 20, 2021

Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method.

Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method.

Journal: Medical image analysis
Published: May 25, 2020

Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction.

Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction.

Journal: Medical image analysis
Published: September 03, 2018

Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks.

Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks.

Journal: Magnetic resonance in medicine
Published: August 18, 2018

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Journal: Scientific reports
Published: November 22, 2017
Showing 1-8 of 8

Last Updated: 09/26/2026