AIMC Topic: Magnetic Resonance Imaging

Clear Filters Showing 2861 to 2870 of 6181 articles

Untangling and segmenting the small intestine in 3D cine-MRI using deep learning.

Medical image analysis Feb 7, 2022
Cine-MRI of the abdomen is a non-invasive imaging technique allowing assessment of small intestinal motility. This is valuable for the evaluation of gastrointestinal disorders. While 2D cine-MRI is increasingly used for this purpose in both clinical ...
Magnetic Resonance Imaging, Cine Magnetic Resonance Imaging Intestine, Small Deep Learning Image Processing, Computer-Assisted Humans
View on PubMed DOI

Artificial intelligence in the diagnosis of multiple sclerosis: A systematic review.

Multiple sclerosis and related disorders Feb 7, 2022
BACKGROUND: In recent years Artificial intelligence (AI) techniques are rapidly evolving into clinical practices such as diagnosis and prognosis processes, assess treatment effectiveness, and monitoring of diseases. The previous studies showed intere...
Humans Artificial Intelligence Magnetic Resonance Imaging Multiple Sclerosis
View on PubMed DOI

Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network.

Frontiers in public health Feb 7, 2022
Alzheimer's Disease (AD) is a progressive, neurodegenerative brain disease and is an incurable ailment. No drug exists for AD, but its progression can be delayed if the disorder is identified at its initial stage. Therefore, an early analysis of AD i...
Alzheimer Disease Neuroimaging Deep Learning Humans Neural Networks, Computer Magnetic Resonance Imaging
View on PubMed DOI

Quality in MR reporting of the prostate – improving acquisition, the role of AI and future perspectives.

The British journal of radiology Feb 4, 2022
The high quality of MRI reporting of the prostate is the most critical component of the service provided by a radiologist. Prostate MRI structured reporting with PI-RADS v. 2.1 has been proven to improve consistency, quality, guideline-based care in ...
Magnetic Resonance Imaging Prostatic Neoplasms Artificial Intelligence Quality Improvement Neoplasm Staging Reproducibility of Results Image Interpretation, Computer-Assisted Humans Male
View on PubMed DOI

A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM).

Magnetic resonance imaging Feb 3, 2022
PURPOSE: This study developed a data-driven optimization to improve the accuracy of deep learning QSM quantification.
Humans Magnetic Resonance Imaging Algorithms Deep Learning Brain Mapping Brain Image Processing, Computer-Assisted
View on PubMed DOI

FastSurferVINN: Building resolution-independence into deep learning segmentation methods-A solution for HighRes brain MRI.

NeuroImage Feb 3, 2022
Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated image analysis pipelines have been validated for high-resolution (HiRes) s...
Humans Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Neuroimaging
View on PubMed DOI

Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior.

Nature communications Feb 3, 2022
The human ability to adaptively implement a wide variety of tasks is thought to emerge from the dynamic transformation of cognitive information. We hypothesized that these transformations are implemented via conjunctive activations in "conjunction hu...
Brain Mapping Psychomotor Performance Neural Pathways Cognition Magnetic Resonance Imaging Nerve Net Adaptation, Psychological Female Young Adult Male Cohort Studies Adult Algorithms Brain Humans Neural Networks, Computer
View on PubMed DOI

Automated segmentation of magnetic resonance bone marrow signal: a feasibility study.

Pediatric radiology Feb 2, 2022
BACKGROUND: Manual assessment of bone marrow signal is time-consuming and requires meticulous standardisation to secure adequate precision of findings.
Humans Prospective Studies Deep Learning Feasibility Studies Magnetic Resonance Spectroscopy Image Processing, Computer-Assisted Magnetic Resonance Imaging Bone Marrow Adolescent Child
View on PubMed DOI

DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value.

IEEE transactions on medical imaging Feb 2, 2022
In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, the inputs of the networks were designed for a specific diffusion gradient scheme (i.e., diffusion gradient directions and numbers) and a specific b-v...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Neural Networks, Computer Magnetic Resonance Imaging Brain Neurites Humans
View on PubMed DOI

Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.

IEEE transactions on medical imaging Feb 2, 2022
Although deep networks have been shown to perform very well on a variety of medical imaging tasks, inference in the presence of pathology presents several challenges to common models. These challenges impede the integration of deep learning models in...
Humans Image Processing, Computer-Assisted Brain Neoplasms Magnetic Resonance Imaging Deep Learning Uncertainty
View on PubMed DOI
Popular Topics
Recent Journals