Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 11, Issue 14, Pages 6616
Publisher
MDPI AG
Online
2021-07-19
DOI
10.3390/app11146616
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Impact of Working Experience on Image Perception and Image Evaluation Approaches in Stroke Imaging: Results of an Eye-Tracking Study
- (2019) Sara Kammerer et al. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN
- Logistic regression, neural networks and Dempster-Shafer theory: A new perspective
- (2019) Thierry Denœux KNOWLEDGE-BASED SYSTEMS
- Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System
- (2019) Carolina Saavedra et al. Computational Intelligence and Neuroscience
- Exploring Large-scale Public Medical Image Datasets
- (2019) Luke Oakden-Rayner ACADEMIC RADIOLOGY
- Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis
- (2019) Alejandro Veloz et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Automated estimation of image quality for coronary computed tomographic angiography using machine learning
- (2018) Rine Nakanishi et al. EUROPEAN RADIOLOGY
- License number plate recognition system using entropy-based features selection approach with SVM
- (2018) Muhammad Attique Khan et al. IET Image Processing
- A Machine-learning Framework for Automatic Reference-free Quality Assessment in MRI
- (2018) T. Küstner et al. MAGNETIC RESONANCE IMAGING
- Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank
- (2018) Fidel Alfaro-Almagro et al. NEUROIMAGE
- Quantitative assessment of structural image quality
- (2018) Adon F.G. Rosen et al. NEUROIMAGE
- Assessment of image quality of a radiotherapy-specific hardware solution for PET/MRI in head and neck cancer patients
- (2018) René M. Winter et al. RADIOTHERAPY AND ONCOLOGY
- A review of factors influencing radiologists’ visual search behaviour
- (2018) Aarthi Ganesan et al. Journal of Medical Imaging and Radiation Oncology
- Medical Image Quality Assessment Using CSO Based Deep Neural Network
- (2018) J. Jayageetha et al. JOURNAL OF MEDICAL SYSTEMS
- Image quality transfer and applications in diffusion MRI
- (2017) Daniel C. Alexander et al. NEUROIMAGE
- Review of medical image quality assessment
- (2016) Li Sze Chow et al. Biomedical Signal Processing and Control
- No-reference/Blind Image Quality Assessment: A Survey
- (2016) Shaoping Xu et al. IETE TECHNICAL REVIEW
- Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm
- (2016) Ricardo A. Pizarro et al. Frontiers in Neuroinformatics
- Image quality assessment: A sparse learning way
- (2015) Yuan Yuan et al. NEUROCOMPUTING
- No-reference image quality assessment algorithms: A survey
- (2015) Vipin Kamble et al. OPTIK
- Interrater Reliability and Diagnostic Performance of Subjective Evaluation of Sublingual Microcirculation Images by Physicians and Nurses
- (2015) Alexandre Lima et al. SHOCK
- Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems
- (2014) Romina Torres et al. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
- No-reference image quality assessment in curvelet domain
- (2014) Lixiong Liu et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- Objective assessment of image quality VI: imaging in radiation therapy
- (2013) Harrison H Barrett et al. PHYSICS IN MEDICINE AND BIOLOGY
- Using and Reporting the Delphi Method for Selecting Healthcare Quality Indicators: A Systematic Review
- (2011) Rym Boulkedid et al. PLoS One
- A DCT Statistics-Based Blind Image Quality Index
- (2010) Michele A Saad et al. IEEE SIGNAL PROCESSING LETTERS
- Interobserver Agreement and Intraobserver Reproducibility of the Subjective Determination of Glaucomatous Visual Field Progression
- (2010) Angelo P. Tanna et al. OPHTHALMOLOGY
- Anniversary Paper: Evaluation of medical imaging systems
- (2008) Elizabeth A. Krupinski et al. MEDICAL PHYSICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started