Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 28 min ago
Peer-reviewedLicence not statedMedical Image Analysis

ContextMRI: Enhancing compressed sensing MRI through metadata conditioning

6 affiliations
  1. 1Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
  2. 2Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
  3. 3Department of Computing and Mathematical Sciences, California Institute of Technology, CA, USA
  4. 4Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
  5. 5Department of Psychiatry, Yonsei University College of Medicine, Seoul, Republic of Korea
  6. 6Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea

Related

  1. Application of AI-assisted compressed sensing cine sequence in the assessment of cardiac function in children with Kawasaki disease
    Xin Zhao, Xihong Hu, Yipu Li +9
    Translational pediatricsPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  2. ACCURACY OF COMPRESSED SENSING ACCELERATED 3D-FLAIR IN THE DIAGNOSTIC WORK-UP OF MULTIPLE SCLEROSIS AT 1.5 T
    C. G. Iacoban, C. Klüner, H. Bösenberg +5
    medRxivPreprintCC BY-NC-NDFull textMedical imaging & radiologymedRxiv
  3. PROSPECTIVE COMPARISON OF OPTIMIZED COMPRESSED SENSING AND GRAPPA-ACCELERATED 3D-TOF-MRA FOR EVALUATION OF UNTREATED INTRACRANIAL ANEURYSMS AT 1.5 T: A NON-INFERIORITY STUDY
    C. G. Iacoban, H. Bösenberg, C. Klüner +5
    medRxivPreprintCC BY-NC-NDFull textMedical imaging & radiologymedRxiv
  4. Performance of compressed-sensing cardiac accelerated cine MR in evaluating left ventricular function: a systematic review and meta-analysis
    Zhaozhao Wang, Huihui Kong, Zekun Zhou +5
    BMC Medical ImagingPeer-reviewedCC BYFull textMedical imaging & radiologyDOAJ
  5. AI-accelerated compressed sensing and deep learning reconstruction for colon MRI: prospective validation of image quality and preliminary assessment of staging accuracy versus contrast-enhanced CT
    Zhen Guan, Nan Sun, Tian-Jing Chang +7
    Insights into ImagingPeer-reviewedCC BY 4.0Full textMedical imaging & radiologyCrossrefPMC
BibTeX
@article{chung2026contextmri,
  title = {{ContextMRI: Enhancing compressed sensing MRI through metadata conditioning}},
  author = {Hyungjin Chung and Dohun Lee and Zihui Wu and Byung‐Hoon Kim and Katherine L. Bouman and Jong Chul Ye},
  journal = {Medical Image Analysis},
  year = {2026},
  month = nov,
  doi = {10.1016/j.media.2026.104353},
  url = {http://arxiv.org/abs/2501.04284},
}
RIS
TY  - JOUR
TI  - ContextMRI: Enhancing compressed sensing MRI through metadata conditioning
AU  - Hyungjin Chung
AU  - Dohun Lee
AU  - Zihui Wu
AU  - Byung‐Hoon Kim
AU  - Katherine L. Bouman
AU  - Jong Chul Ye
PY  - 2026
DA  - 2026/11/01
JO  - Medical Image Analysis
DO  - 10.1016/j.media.2026.104353
UR  - http://arxiv.org/abs/2501.04284
SN  - 1361-8415
SN  - 1361-8423
SN  - 1361-8431
ER  -