Predicting early symptomatic osteoarthritis in the human knee using machine learning classification of magnetic resonance images from the osteoarthritis initiative
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Orthopaedic Research"
DOI: 10.1002/jor.23519
Abstract: The purpose of this study is to evaluate the ability of a machine learning algorithm to classify in vivo magnetic resonance images (MRI) of human articular cartilage for development of osteoarthritis (OA). Sixty‐eight subjects were… read more here.
Keywords: machine; machine learning; using machine; magnetic resonance ... See more keywords
Automated T2-mapping of the Menisci From Magnetic Resonance Images in Patients with Acute Knee Injury.
Sign Up to like & getrecommendations! Published in 2017 at "Academic radiology"
DOI: 10.1016/j.acra.2017.03.025
Abstract: RATIONALE AND OBJECTIVES This study aimed to evaluate the accuracy of an automated method for segmentation and T2 mapping of the medial meniscus (MM) and lateral meniscus (LM) in clinical magnetic resonance images from patients… read more here.
Keywords: resonance; patients acute; magnetic resonance; images patients ... See more keywords
Optical scanning holography for tumor extraction from brain magnetic resonance images
Sign Up to like & getrecommendations! Published in 2020 at "Optics and Laser Technology"
DOI: 10.1016/j.optlastec.2020.106158
Abstract: Abstract Tumor segmentation from magnetic resonance images (MRI) is an error-prone and time-absorbing process. Recently, optical methods have opened a new avenue to tack with the aforementioned problem. In this paper, we propose a novel… read more here.
Keywords: scanning holography; magnetic resonance; optical scanning; resonance images ... See more keywords
Averaged head phantoms from magnetic resonance images of Korean children and young adults.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aaa1c7
Abstract: Increased use of mobile phones raises concerns about the health risks of electromagnetic radiation. Phantom heads are routinely used for radiofrequency dosimetry simulations, and the purpose of this study was to construct averaged phantom heads… read more here.
Keywords: children young; phantom heads; magnetic resonance; resonance images ... See more keywords
Interpretation of Magnetic Resonance Images of Temporomandibular Joint Disorders by Using Deep Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277756
Abstract: In recent years, Machine Learning (ML), especially Deep Learning (DL) approaches, has attracted great attention in medical field. In this study, we proposed a deep learning-based approach in order to automatically diagnose Temporomandibular Disorder (TMD)… read more here.
Keywords: magnetic resonance; resonance images; learning; deep learning ... See more keywords
Image Registration for Microwave Tomography of the Breast Using Priors From Nonsimultaneous Previous Magnetic Resonance Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology"
DOI: 10.1109/jerm.2017.2786025
Abstract: Microwave imaging is a low-cost imaging method that has shown promise for breast imaging and, in particular, neoadjuvant chemotherapy monitoring. Early studies of microwave imaging in the therapy monitoring setting are encouraging. For the neoadjuvant… read more here.
Keywords: breast; magnetic resonance; microwave imaging; registration ... See more keywords
Towards Left Ventricle Segmentation From Magnetic Resonance Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2017.2736641
Abstract: Quantitative evaluation of cardiac function from magnetic resonance images generally requires the clinician to first trace the left ventricle contours. However, detection of myocardial walls continues to remain a challenge on magnetic resonance images acquired… read more here.
Keywords: left ventricle; segmentation; magnetic resonance; ventricle ... See more keywords
A New 4-D Nonlocal Transform-Domain Filter for 3-D Magnetic Resonance Images Denoising
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2017.2778230
Abstract: The simultaneous removal of noise and preservation of the integrity of 3-D magnetic resonance (MR) images is a difficult and important task. In this paper, we consider characterizing MR images with 3-D operators, and present… read more here.
Keywords: resonance images; mnl tsvd; transform domain; magnetic resonance ... See more keywords
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2894692
Abstract: In magnetic resonance imaging (MRI), different imaging settings lead to various intensity distributions for a specific imaging object, which brings huge diversity to data-driven medical applications. To standardize the intensity distribution of magnetic resonance (MR)… read more here.
Keywords: adversarial network; magnetic resonance; resonance images; generative adversarial ... See more keywords
Magnetic resonance images and measurements of the volume, proportion, and longitudinal distribution of contractile and non-contractile tissue in the dorsi- and plantar flexor muscles of healthy young and older adults
Sign Up to like & getrecommendations! Published in 2018 at "BMC Research Notes"
DOI: 10.1186/s13104-018-4026-x
Abstract: ObjectiveThis paper presents magnetic resonance images of the dorsi- and plantar flexor muscles for individual young and older healthy adults. Also included are measurements of the volume, proportion, and longitudinal distribution of contractile and non-contractile… read more here.
Keywords: resonance images; magnetic resonance; plantar flexor; dorsi plantar ... See more keywords
Classification of brain disease in magnetic resonance images using two-stage local feature fusion
Sign Up to like & getrecommendations! Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0171749
Abstract: Background Many classification methods have been proposed based on magnetic resonance images. Most methods rely on measures such as volume, the cerebral cortical thickness and grey matter density. These measures are susceptible to the performance… read more here.
Keywords: classification; feature; magnetic resonance; disease ... See more keywords