AIMC Topic: Magnetic Resonance Imaging
Clear Filters Showing 3311 to 3320 of 6201 articles
Automatic classification of medical image modality and anatomical location using convolutional neural network.
PloS one
Jun 11, 2021
Modern radiologic images comply with DICOM (digital imaging and communications in medicine) standard, which, upon conversion to other image format, would lose its image detail and information such as patient demographics or type of image modality tha...
Comparison of Acceptance and Knowledge Transfer in Patient Information Before an MRI Exam Administered by Humanoid Robot Versus a Tablet Computer: A Randomized Controlled Study.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Jun 10, 2021
PURPOSE: To investigate whether a humanoid robot in a clinical radiological setting is accepted as a source of information in conversations before MRI examinations of patients. In addition, the usability and the information transfer were compared wi...
Predictive online 3D target tracking with population-based generative networks for image-guided radiotherapy.
International journal of computer assisted radiology and surgery
Jun 10, 2021
PURPOSE: Respiratory motion of thoracic organs poses a severe challenge for the administration of image-guided radiotherapy treatments. Providing online and up-to-date volumetric information during free breathing can improve target tracking, ultimate...
Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method.
NeuroImage
Jun 9, 2021
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human brain networks during rest. There is considerable interest in distinguishing the individual-shared and individual-specific components in RSFC for the better identi...
Design of MRI structured spiking neural networks and learning algorithms for personalized modelling, analysis, and prediction of EEG signals.
Scientific reports
Jun 8, 2021
This paper proposes a novel method and algorithms for the design of MRI structured personalized 3D spiking neural network models (MRI-SNN) for a better analysis, modeling, and prediction of EEG signals. It proposes a novel gradient-descent learning a...
Deep learning-based multi-modal computing with feature disentanglement for MRI image synthesis.
Medical physics
Jun 7, 2021
PURPOSE: Different Magnetic resonance imaging (MRI) modalities of the same anatomical structure are required to present different pathological information from the physical level for diagnostic needs. However, it is often difficult to obtain full-seq...
Weakly Supervised Deep Learning Approach to Breast MRI Assessment.
Academic radiology
Jun 6, 2021
RATIONALE AND OBJECTIVES: To evaluate a weakly supervised deep learning approach to breast Magnetic Resonance Imaging (MRI) assessment without pixel level segmentation in order to improve the specificity of breast MRI lesion classification.
Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning.
Pediatric research
Jun 5, 2021
BACKGROUND: Differentiating acute bilirubin encephalopathy (ABE) from non-ABE in neonates with hyperbilirubinemia (HB) from routine magnetic resonance imaging (MRI) is extremely challenging since both conditions demonstrate similar T1 hyperintensitie...
Deep learning for diagnosing osteonecrosis of the femoral head based on magnetic resonance imaging.
Computer methods and programs in biomedicine
Jun 5, 2021
BACKGROUND AND OBJECTIVE: Early-stage osteonecrosis of the femoral head (ONFH) can be difficult to detect because of a lack of symptoms. Magnetic resonance imaging (MRI) is sufficiently sensitive to detect ONFH; however, the diagnosis of ONFH require...
Automatic cortical target point localisation in MRI for transcranial magnetic stimulation via a multi-resolution convolutional neural network.
International journal of computer assisted radiology and surgery
Jun 5, 2021
PURPOSE: Transcranial magnetic stimulation (TMS) is a growing therapy for a variety of psychiatric and neurological disorders that arise from or are modulated by cortical regions of the brain represented by singular 3D target points. These target poi...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31155
- Neural Networks, Computer 29777
- Algorithms 26923
- Deep Learning 26427
- Artificial Intelligence 24367
- Robotics 13323
- Image Processing, Computer-Assisted 9556
- Retrospective Studies 9139
- Magnetic Resonance Imaging 6201
- Reproducibility of Results 5603
- Tomography, X-Ray Computed 4779
- Support Vector Machine 4697
- Computational Biology 4248
- Brain 4056
- Computer Simulation 3887
Recent Journals
- Scientific reports 6099
- Sensors (Basel, Switzerland) 4794
- PloS one 4051
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1868
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1137
- Journal of chemical information and modeling 1006
- Nature communications 962
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 862
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 830