Enhancing MRI Image Quality and Diagnostic Accuracy for Carotid Atherosclerotic Plaques Through Deep Learning Reconstruction Techniques - Top-Institutions - MDSpire

Enhancing MRI Image Quality and Diagnostic Accuracy for Carotid Atherosclerotic Plaques Through Deep Learning Reconstruction Techniques

By
Xixiang Chen
Changsheng Liu
Xuefang Lu
Weiyin Vivian Liu
Yabing Huang
Yunfei Zha
Zuneng Lu
April 17, 2026
0 min

Frontiers In Neurology

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

#1

Massachusetts General Hospital

Boston, MA
Key Differentiators
- Radiology
- Neurology
- Artificial Intelligence in Medicine
#2

Johns Hopkins Hospital

Baltimore, MD
Key Differentiators
- Radiology
- Neurology
- Vascular Medicine
#3

Stanford University Medical Center

Stanford, CA
Key Differentiators
- Radiology
- Neurology
- Biomedical Engineering
#4

Mayo Clinic

Rochester, MN
Key Differentiators
- Radiology
- Neurology
- Cardiovascular Medicine
#5

University of California, San Francisco (UCSF) Medical Center

San Francisco, CA
Key Differentiators
- Radiology
- Neurology
- Biomedical Informatics

Original Source(s)

Frontiers In Neurology

Enhancing MRI Image Quality and Diagnostic Accuracy for Carotid Atherosclerotic Plaques Through Deep Learning Reconstruction Techniques

by Xixiang Chen, Changsheng Liu, Xuefang Lu, Weiyin Vivian Liu, Yabing Huang, Yunfei Zha, Zuneng Lu
April 17, 2026

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