Work

Deriving new soft tissue contrasts from conventional MR images using deep learning

Year: 2020

Type: article

Source: Magnetic Resonance Imaging

DOI: 10.1016/j.mri.2020.09.014

Authors: Yan Wu, Debiao Li, Lei Xing, Garry Gold

Institutions: Stanford University, Cedars-Sinai Medical Center, Stanford Medicine

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Institutes of Health, National Cancer Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institute of Biomedical Imaging and Bioengineering

Awards: Dual Modality X-ray Luminescence CT for in vivo Cancer Imaging, DASSIM-RT and Compressed Sensing-Based Inverse Planning, Advanced MR Imaging of Early Osteoarthritis, Designing Novel MR Imaging Tools to Quantify Lower-Limb Exercise Adaptations in Knee Osteoarthritis

OpenAlex ID: W3087206665

FWCI: 0.365

Cites: 41

Cited by: 6

Related to: 10