Related references
Note: Only part of the references are listed.MRI-based Synthetic CT in the Detection of Structural Lesions in Patients with Suspected Sacroiliitis: Comparison with MRI
Lennart B. O. Jans et al.
RADIOLOGY (2021)
Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels
Mateusz C. Florkow et al.
MAGNETIC RESONANCE IN MEDICINE (2020)
Quantitative Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of Bone: An Update
Ya-Jun Ma et al.
FRONTIERS IN ENDOCRINOLOGY (2020)
Evaluation of MR-derived CT-like images and simulated radiographs compared to conventional radiography in patients with benign and malignant bone tumors
Alexandra S. Gersing et al.
EUROPEAN RADIOLOGY (2019)
Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction
Angel Torrado-Carvajal et al.
JOURNAL OF NUCLEAR MEDICINE (2019)
Magnetic Resonance Imaging of Hard Tissues and Hard Tissue Engineered Bio-substitutes
Simone Mastrogiacomo et al.
MOLECULAR IMAGING AND BIOLOGY (2019)
Evaluation of osseous cervical foraminal stenosis in spinal radiculopathy using susceptibility-weighted magnetic resonance imaging
Guenther Engel et al.
EUROPEAN RADIOLOGY (2019)
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI
Andrew P. Leynes et al.
JOURNAL OF NUCLEAR MEDICINE (2018)
MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network
Anna M. Dinkla et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging
Fang Liu et al.
RADIOLOGY (2018)
Diagnostic Accuracy of Zero-Echo Time MRI for the Evaluation of Cervical Neural Foraminal Stenosis
Erin C. Argentieri et al.
SPINE (2018)
Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI-guided radiation planning in the pelvic region
Hossein Arabi et al.
MEDICAL PHYSICS (2018)
Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images
Kuang Gong et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
Matteo Maspero et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
The value of CT and MRI in the classification and surgical decision-making among spine surgeons in thoracolumbar spinal injuries
Shanmuganathan Rajasekaran et al.
EUROPEAN SPINE JOURNAL (2017)
Differentiation of Osteophytes and Disc Herniations in Spinal Radiculopathy Using Susceptibility-Weighted Magnetic Resonance Imaging
Yvonne Yi-Na Bender et al.
INVESTIGATIVE RADIOLOGY (2017)
A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research
Terry K. Koo et al.
JOURNAL OF CHIROPRACTIC MEDICINE (2016)
Methods to determine pedicle screw placement accuracy in spine surgery: a systematic review
Ahmed A. Aoude et al.
EUROPEAN SPINE JOURNAL (2015)
How to Demonstrate Similarity by Using Noninferiority and Equivalence Statistical Testing in Radiology Research
Soyeon Ahn et al.
RADIOLOGY (2013)
MRI versus CT for the diagnosis of lumbar spinal stenosis
Sang Soo Eun et al.
JOURNAL OF NEURORADIOLOGY (2012)
Comparison of radiographic and computed tomographic measurement of pedicle and vertebral body dimensions in Koreans: the ratio of pedicle transverse diameter to vertebral body transverse diameter
Ki Ser Kang et al.
EUROPEAN SPINE JOURNAL (2011)
Comparison of Magnetic Resonance Imaging and Computed Tomography-Myelography for Quantitative Evaluation of Lumbar Intracanalar Cross-Section
Hiroyasu Ogura et al.
YONSEI MEDICAL JOURNAL (2011)