AIMC Topic: Magnetic Resonance Imaging

Clear Filters Showing 2691 to 2700 of 6167 articles

DARQ: Deep learning of quality control for stereotaxic registration of human brain MRI to the T1w MNI-ICBM 152 template.

NeuroImage Apr 29, 2022
Linear registration to stereotaxic space is a common first step in many automated image-processing tools for analysis of human brain MRI scans. This step is crucial for the success of the subsequent image-processing steps. Several well-established al...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Quality Control Humans Brain
View on PubMed DOI

Deep Learning-Based Multimodal 3 T MRI for the Diagnosis of Knee Osteoarthritis.

Computational and mathematical methods in medicine Apr 29, 2022
The objective of this study was to investigate the application effect of deep learning model combined with different magnetic resonance imaging (MRI) sequences in the evaluation of cartilage injury of knee osteoarthritis (KOA). Specifically, an image...
Cartilage, Articular Deep Learning Humans Knee Joint Magnetic Resonance Imaging Knee Injuries Osteoarthritis, Knee
View on PubMed DOI

[Modern mid-field magnetic resonance imaging in private practice : Field report].

Der Radiologe Apr 28, 2022
BACKGROUND: With the 0.55 T magnetic resonance imaging (MRI) scanner "Free.Max", a new device concept in the mid-field sector is being introduced into the market. New technologies and artificial intelligence (AI) applications as well as a new coil co...
Magnetic Resonance Imaging Research Report Humans Artificial Intelligence Artifacts Private Practice
View on PubMed DOI

Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.

NeuroImage Apr 27, 2022
Parallel imaging is the most clinically used acceleration technique for magnetic resonance imaging (MRI) in part due to its easy inclusion into routine acquisitions. In k-space based parallel imaging reconstruction, sub-sampled k-space data are inter...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Artifacts Neural Networks, Computer Algorithms Humans
View on PubMed DOI

From CNNs to GANs for cross-modality medical image estimation.

Computers in biology and medicine Apr 27, 2022
Cross-modality image estimation involves the generation of images of one medical imaging modality from that of another modality. Convolutional neural networks (CNNs) have been shown to be useful in image-to-image intensity projections, in addition to...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Benchmarking
View on PubMed DOI

Evaluation Algorithm for the Effectiveness of Stroke Rehabilitation Treatment Using Cross-Modal Deep Learning.

Computational and mathematical methods in medicine Apr 27, 2022
It is important to study the evaluation algorithm for the stroke rehabilitation treatment effect to make accurate evaluation and optimize the stroke disease treatment plan according to the evaluation results. To address the problems of poor restorati...
Deep Learning Image Processing, Computer-Assisted Humans Algorithms Magnetic Resonance Imaging Positron-Emission Tomography Stroke Stroke Rehabilitation
View on PubMed DOI

Attention-modulated multi-branch convolutional neural networks for neonatal brain tissue segmentation.

Computers in biology and medicine Apr 26, 2022
Accurate measurement of brain structures is essential for the evaluation of neonatal brain growth and development. The conventional methods use manual segmentation to measure brain tissues, which is very time-consuming and inefficient. Recent deep le...
Attention Gray Matter Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Brain
View on PubMed DOI

Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.

Scientific reports Apr 25, 2022
We introduced Double Attention Res-U-Net architecture to address medical image segmentation problem in different medical imaging system. Accurate medical image segmentation suffers from some challenges including, difficulty of different interest obje...
Neural Networks, Computer Magnetic Resonance Imaging Algorithms Attention Image Processing, Computer-Assisted
View on PubMed DOI

Explainability of deep neural networks for MRI analysis of brain tumors.

International journal of computer assisted radiology and surgery Apr 23, 2022
PURPOSE: Artificial intelligence (AI), in particular deep neural networks, has achieved remarkable results for medical image analysis in several applications. Yet the lack of explainability of deep neural models is considered the principal restrictio...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Artificial Intelligence Brain Neoplasms
View on PubMed DOI

Comprehensive Clinical Evaluation of a Deep Learning-Accelerated, Single-Breath-Hold Abdominal HASTE at 1.5 T and 3 T.

Academic radiology Apr 22, 2022
To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-Fourier acquisition single-shot turbo spin echo (HASTE)-sequence for T2-weighted fat-suppressed MRI of the abdomen at 1.5 T and 3 T in comparison to standard ...
Humans Retrospective Studies Artifacts Abdomen Magnetic Resonance Imaging Deep Learning Liver Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals