Software

MILAB
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Software

rPCA-MWF

Author: Jae Eun Song, Jaewook Shin, Hongpyo Lee, Ho Joon Lee, Won-Jin Moon, Dong-Hyun Kim Blind Source Separation for Myelin Water Fraction Mapping using Multi-echo Gradient Echo Imaging IEEE Transactions on Medical Imaging. 10.1109/TMI.2020.2967068 Tool : Matlab
Github Link : https://github.com/Yonsei-MILab/rPCA-MWF

Cerebral-Microbleeds-Detection

Author: Mohammed A. Al-masni, Woo-Ram Kim, Eung Yeop Kim, Young Noh,and Dong-Hyun Kim Automated Detection of Cerebral Microbleeds in MR Images: A Two-Stage Deep Learning Approach Neuroimage: Clinical. Volume 28, 2020, 102464. https://doi.org/10.1016/j.nicl.2020.102464 Tool : Python
Github Link : https://github.com/Yonsei-MILab/Cerebral-Microbleeds-Detection

Biomedical-Image-Segmentation-via-CMM-Net

Author: Mohammed A. Al-masni and Dong-Hyun Kim CMM-Net: Contextual Multi-Scale Multi-Level Network for Efficient Biomedical Image Segmentation Tool : Python
Github Link : https://github.com/Yonsei-MILab/Biomedical-Image-Segmentation-via-RMSPP-UNet

ANN-MWF

Author: Sozzy Jung, Hongpyo Lee, Kanghyun Ryu, Jae Uen Song, Mina Park, Won-Jun Moon and Dong-Hyun Kim Artificial neural network for multi-echo gradient echo based myelin water fraction estimation Magnetic Resonance in Medicine. 2021; Jan. 85(1):380-389, 10.1002/mrm.28407 Tool : Python
Github Link : https://github.com/Yonsei-MILab/ANN-MWF

Lacunes-Identification

Author: Mohammed A. Al-masni, Woo-Ram Kim, Eung Yeop Kim, Young Noh,and Dong-Hyun Kim 3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification from MR Images with Minimal User Intervention Tool : Python
Github Link : https://github.com/Yonsei-MILab/Lacunes-Identification

Joint Parallel Imaging reconstruction with Deep Learning for Multi-Contrast Synthetic MRI

Author: Jae-Hun Lee, Kanghyun Ryu, Sung-Min Gho, Ho-Sung Kim, Mohammed A. Al-masni and Dong-Hyun Kim Joint Parallel Imaging reconstruction with Deep Learning for Multi-Contrast Synthetic MRI ISMRM 28th Annual Meeting & Exhibition, 08-13 August 2020. Paris Expo Porte de Versailles, Paris, France. Tool : Python & Matlab
Github Link : https://github.com/KHRyu8985/Joint_Reconstruction_Synthetic_MR

MRI motion artifact simulation tool (View2Dmotion)

Author: Seul Lee, Soozy Jung, Kyu-jin Jung and Dong-Hyun Kim Deep Learning in MR Motion Correction: a Brief Review and a New Motion Simulation Tool Investigative Magnetic Resonance Imaging. 2020 Dec;24(4):196-206. Tool : Matlab
Github Link : https://github.com/Yonsei-MILab/MRI-Motion-Artifact-Simulation-Tool

Stacked U-Nets with Self-Assisted Priors for MRI motion artifact correction

Author: Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi and Dong-Hyun Kim Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI NeuroImage Tool : Python
Github Link : https://github.com/Yonsei-MILab/MRI-Motion-Artifact-Correction-Self-Assisted-Priors