Pediatric Case report
Introduction
Radiologic exams including magnetic resonance imaging (MRI) for pediatric patients require utmost attention to safety and efficacy. While...
Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study
Authors
Joohee Lee1, Min Jung2, Jiwoo Park1, Sungjun Kim1, Yunjin Im1, Nim Lee1, Ho-Taek Song1 & Young Han Lee1
1. Department of Radiology,...
Deep Learning-based MR Reconstruction Improves Robustness of Brain Volumetry in Low-Quality MR Images
Authors
Woojin Jung1, Koung Mi Kang2
1AIRS Medical Inc, Korea, Republic of2Seoul National University Hospital, Korea, Republic ofwe3001@gmail.com
KCR...
High-Resolution Bone Image from shoulder MRI Using Deep Neural Network on 3-D Accelerated Dixon GRE (CAIPIRINHA Dixon)
Authors
Sheen Woo Lee1, Seungwook Yang2, Jooyeon Kim1
1The Catholic University of Korea, Eunpyeong St. Mary’s Hospital, Korea, Republic...
Enhancing Radiomic Feature Correlations and Reproducibility in Knee MRI by Deep Learning-Based MR Reconstruction
Authors
Minju Cho1, Seungwook Yang1, Sohyun Kim1, Young Han Lee2
1AIRS Medical, Korea, Republic of2Yonsei University College of Medicine,...
Stability of Deep Learning-based Image Quality Improvement in MRI of the Knee: Correlation with Arthroscopy
Authors
Seung Hoon Choi1, Hee Rin Lee1, Joon-Yong Jung1, Seung Eun Lee1, So Hyun Kim2, Geunu Jeong2
1The Catholic University of Korea,...
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....