Application of deep-learning-based super-resolution image quality improvement on vessel wall imaging
Authors
Seokhee Park1, Minkook Seo1, Woojin Jung2, Kook-Jin Ahn1, Bum-soo Kim1, Jinhee Jang1
1The Catholic University of Korea, Seoul...
Pitfalls of normative percentile analysis with different racial groups in MRI brain volumetry
Authors
Woojin Jung1, Koung Mi Kang2, Hongjun An3, Seoung Hong Choi2
1AIRS Medical Inc, Korea, Republic of2Seoul National University Hospital,...
Prospective Validation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to Spin-Echo and Gradient-Echo Sequences
Authors
Kyu Sung Choi1, Seungwook Yang2</sup?, Ji Ye Lee1, Geunu Jeong2, Kyung Hoon Lee3, Young Hun Jeon1, Koung Mi Kang1
1Seoul National...
Understanding Brain MRI Images
Written by Geunu Jeong
Head of Research in AIRS Medical
Taking a brain MRI at the hospital is not just about capturing a single image. Various images...
Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI
Authors
Hyunsuk Yoo1, Roh-Eul Yoo1, Seung Hong Choi1, 2, 3, Inpyeong Hwang1, Ji Ye Lee1, June Young Seo1, Seok Young Koh1, Kyu Sung Choi1, Koung...
Superficial venous morphometry in the antecubital fossa: An autonomous robotic ultrasound-based analysis
Authors
Seoyeon Park1, Yunmyeong Kim1, Deokgeun Nam1, Jooran Lee2, Sang Hoon Song3
1. AIRS Medical, Seoul, Republic of Korea2. Division...
MRI Through the Eyes of Artificial Intelligence: Principles of High-Quality Image Reconstruction
Written by Woojin Jung
Research Scientist in AIRS Medical
Artificial intelligence (AI) has made its debut in the clinical environment, where breakthroughs...
Why does it take so long for an MRI scan?
Written by Sohyun KimResearch Scientist in AIRS Medical
Magnetic Resonance Imaging(MRI), is well-known for imaging that does not use radiation, unlike...
MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images
Authors
Woojin Jung1, Hyun-Soo Lee2, Minkook Seo3, Yoonho Nam4, Yangsean Choi3, Na-Young Shin3, Kook-Jin Ahn3, Bum-soo Kim3, Jinhee Jang3
1....
Highly accelerated 3D MPRAGE using deep neural network–based reconstruction for brain imaging in children and young adults
Authors
Woojin Jung1, JeeYoung Kim2, Jingyu Ko1, Geunu Jeong1 & Hyun Gi Kim2
1. AIRS Medical, Seoul, Republic of Korea 2. Department...
Deep Learning in MR Image Processing
Authors
Doohee Lee1, Jingu Lee1, Jingyu Ko1, Jaeyeon Yoon1, Kanghyun Ryu2, Yoonho Nam3
1. Laboratory for Imaging Science and Technology,...
Real-time processing of myelin water imaging using artificial neural network
Authors
Jieun Lee1, Doohee Lee1, Joon Yul Choi1, Dongmyung Shin1, Hyeong-Geol Shin1, and Jongho Lee1
1. Department of Electrical and...
g-factor attention model for deep neural network powered parallel imaging: gANN
Authors
Jaeyeon Yoon1,2, Doohee Lee1,2, Jingyu Ko1,2, Jingu Lee1, Yoonho Nam3,4, and Jongho Lee1
1. Seoul National University, Seoul,...
Quad-contrast imaging with deep learning-powered reconstruction: 2-minute neuro-evaluation
Authors
Sooyeon Ji1, Doohee Lee1, Se-Hong Oh2, and Jongho Lee1
1. Electrical and Computer Engineering, Seoul National University, Seoul,...
Quantitative susceptibility mapping using deep neural network: QSMnet
Authors
Jaeyeon Yoona, 1, Enhao Gongb, c, 1, Itthi Chatnuntawechd, Berkin Bilgice, Jingu Leea, Woojin Jung a, Jingyu Koa, Hosan Junga, Kawin Setsompope,...