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AIRS Medical Receives FDA 510(k) Clearance for AI-Powered MRI Reconstruction Software SwiftMR™

The award-winning MRI recon technology to be showcased at RSNA 2021 (Booth #4157) November 16, 2021 10:00 AM Eastern Standard Time SEOUL, South Korea–(BUSINESS...
20201214

AIRS Medical Wins 'fastMRI Challenge' Hosted by Facebook AI Research & NYU Langone Health

  AIRS Medical, a Korean startup specializing in medical artificial intelligence (AI) software, has won “fastMRI Challenge 2020,” a global competition...
20200712

AIRS Medical Kicks into High Gear Following Selection as a ‘Baby Unicorn’

    AIRS Medical, a medical artificial intelligence (AI) startup based in Seoul, has been selected as one of Korea’s baby unicorn startups by the Ministry...

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,...

AIRS Medical: Set to revolutionise the Global Medical AI field

    MRI or Magnetic Resonance Imaging is a very important tool for diagnosis of complex ailments, but the MRI scanning process is quite long and inconvenient...

AIRS Medical, a Korean Startup, Attracts Investment from Spring Camp

    AIRS Medical, a Korean startup specializing in artificial intelligence (AI) in medicine, has attracted investment from Spring Camp, a venture capital...

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,...

Accelerated multi-contrast imaging powered by machine learning: preliminary results

Authors Doohee Lee1,2, Jaeyeon Yoon1,2, Jingyu Ko1,2, Jingu Lee1,2, Yoonho Nam3,4, and Jongho Lee1     1. Seoul National University, Seoul,...
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