Conference

International

•  Prediction of breast cancer recurrence based on automatically extracted quantitative MR features

J Kang et al. Hankuk University of Foreign Studies, Korea

ISMRM, 2025, Oral Presentation (Magna Cum Laude)

•  Automatic Lateral Ventricle and Choroid Plexus Segmentation Method in Infant Brain MR Images

J Kang et al. Hankuk University of Foreign Studies, Korea

ISMRM, 2025, Digital Poster

•  Enhancement of PVS analysis via T1w-based PVS segmentation: Comparison with T2-weighted Based method

J Kang et al. Hankuk University of Foreign Studies, Korea

OHBM 2024, Traditional Poster

•  Improved PVS Segmentation Using T1-Weighted Image: Comparison with T2-Weighted Image-Based Segmentation

J Kang et al. Hankuk university of Foreign Studies, Korea

ISMRM, 2024, Digital Poster

•  Quantitative Analysis Of MRI-Visible Perivascular Spaces in Schizophrenia

J Kang et al. Hankuk University of Foreign Studies, Korea

ISMRM 2024, Digital Poster

•  New Multiple Sclerosis Lesion Segmentation in Longitudinal FLAIR MR Images using Subtraction Image

J Kang et al. Hankuk University of Foreign Studies, Korea
ISMRM, 2023, Digital Poster

•  Investigation of nonuniform bias field in quantitative analysis of neuromelanin-sensitive MR imaging

J Kang et al. Hankuk University of Foreign Studies, Korea
ISMRM, 2023, Digital Poster

•  Bias field correction in MRI with hampel noise denoising diffusion probabilistic model
J Kang et al. Hankuk University of Foreign Studies, Korea
MIDL 2023, Digital Poster

•  Assessment and Improvement of the Quality of Fat Saturation in Breast MRI using Deep-learning with synthetic data
J Kang et al. Hankuk University of Foreign Studies, Korea
ISMRM, 2022, Oral Presentation #0149

•  A Multi-Stage 3D Patch-wise Deep Learning Algorithm for Detection of New Multiple Sclerosis Lesions in Longitudinal MRI
J Kang et al. Hankuk University of Foreign Studies, Korea
ISMRM, 2022, Power Pitch

•  Automatic assessment of motion artifact on Nigrosome 1 visualization protocol using CNN-LSTM
J Kang et al. Hankuk University of Foreign Studies, Korea
ISMRM, 2021, #3020, (Digital Poster)

Domestic

•  Improved PVS segmentation using T1-weighted image: Comparison with T2-weighted image-based segmentation.
J Kang et al. Hankuk University of Foreign Studies, Korea
ICMRI, 2023

•  Automatic Detection of New Multiple Sclerosis Lesions in Longitudinal MRI using Multi-stage 3D patch-wise Deep Learning Algorithm

J Kang et al. Hankuk University of Foreign Studies, Korea
ICMRI, 2022

•  Automatic Assessment of the Quality of Fat Saturation in Breast MRI
J Kang et al. Hankuk University of Foreign Studies, Korea
ICMRI, 2021, EP-BR-03

•  Fully Automatic Assessment of Motion Artifacts on the Substantia Nigra Imaging Protocol
J Kang et al. Hankuk University of Foreign Studies, Korea
ICMRI, 2021, EP-AD-10

•  CNN-based BPE Classification of Unbalanced Breast MR Dataset using Online Me- ta-learning Algorithm.
J Kang et al, Hankuk University of Foreign Studies, Korea
ICMRI, 2020, PP-AD-09

•  Automatic Segmentation of Subcortical Brain Structures from Single-echo SWI Data using CNN.
S Jang, J Kang et al, Hankuk University of Foreign Studies, Korea
ICMRI, 2020, PP-AD-10

•  Deep learning based automatic localization of substantia nigra region for quantitative analysis of neuromelanin and nigrosome imaging
H Kim, J Kang et al, Hankuk University of Foreign Studies, Korea
ICMRI, 2019, SS02-06

•  Automatic 3D segmentation of breast and fibroglandular tissue in breast MR images using 3D convolutional neural network
J Kang et al, Hankuk University of Foreign Studies, Korea
ICMRI, 2019, PP04-10