AIMC Topic: Magnetic Resonance Imaging

Clear Filters Showing 2271 to 2280 of 6074 articles

NMR spectrum reconstruction as a pattern recognition problem.

Journal of magnetic resonance (San Diego, Calif. : 1997) Nov 24, 2022
A new deep neural network based on the WaveNet architecture (WNN) is presented, which is designed to grasp specific patterns in the NMR spectra. When trained at a fixed non-uniform sampling (NUS) schedule, the WNN benefits from pattern recognition of...
Ubiquitin Magnetic Resonance Imaging Nuclear Magnetic Resonance, Biomolecular Magnetic Resonance Spectroscopy Neural Networks, Computer
View on PubMed DOI

Deep learning-regularized, single-step quantitative susceptibility mapping quantification.

NMR in biomedicine Nov 23, 2022
The purpose of the current study was to develop deep learning-regularized, single-step quantitative susceptibility mapping (QSM) quantification, directly generating QSM from the total phase map. A deep learning-regularized, single-step QSM quantifica...
Brain Deep Learning Humans Algorithms Calcinosis Brain Mapping Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

NeXtQSM-A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data.

Medical image analysis Nov 23, 2022
Deep learning based Quantitative Susceptibility Mapping (QSM) has shown great potential in recent years, obtaining similar results to established non-learning approaches. Many current deep learning approaches are not data consistent, require in vivo ...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Algorithms Brain
View on PubMed DOI

Scientific Advances and Technical Innovations in Musculoskeletal Radiology.

Investigative radiology Nov 23, 2022
Decades of technical innovations have propelled musculoskeletal radiology through an astonishing evolution. New artificial intelligence and deep learning methods capitalize on many past innovations in magnetic resonance imaging (MRI) to reach unprece...
Magnetic Resonance Imaging Radiography Artificial Intelligence Tomography, X-Ray Computed Radiology
View on PubMed DOI

Where Position Matters-Deep-Learning-Driven Normalization and Coregistration of Computed Tomography in the Postoperative Analysis of Deep Brain Stimulation.

Neuromodulation : journal of the International Neuromodulation Society Nov 21, 2022
INTRODUCTION: Recent developments in the postoperative evaluation of deep brain stimulation surgery on the group level warrant the detection of achieved electrode positions based on postoperative imaging. Computed tomography (CT) is a frequently used...
Humans Magnetic Resonance Imaging Brain Deep Learning Deep Brain Stimulation Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

European journal of nuclear medicine and molecular imaging Nov 21, 2022
PURPOSE: This study aimed to develop deep learning (DL) models based on multicentre biparametric magnetic resonance imaging (bpMRI) for the diagnosis of clinically significant prostate cancer (csPCa) and compare the performance of these models with t...
Humans Retrospective Studies Magnetic Resonance Imaging Prostatic Neoplasms Male Deep Learning Prostate
View on PubMed DOI

Application of artificial intelligence to imaging interpretations in the musculoskeletal area: Where are we? Where are we going?

Joint bone spine Nov 21, 2022
The interest of researchers, clinicians and radiologists, in artificial intelligence (AI) continues to grow. Deep learning is a subset of machine learning, in which the computer algorithm itself can determine the optimal imaging features to answer a ...
Radiography Magnetic Resonance Imaging Humans Neural Networks, Computer Artificial Intelligence Algorithms
View on PubMed DOI

Deep convolutional feature details for better knee disorder diagnoses in magnetic resonance images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 21, 2022
Convolutional neural networks (CNNs) applied to magnetic resonance imaging (MRI) have demonstrated their ability in the automatic diagnosis of knee injuries. Despite the promising results, the currently available solutions do not take into account th...
Magnetic Resonance Imaging Neural Networks, Computer
View on PubMed DOI

Deep Learning Prediction of Pathologic Complete Response in Breast Cancer Using MRI and Other Clinical Data: A Systematic Review.

Tomography (Ann Arbor, Mich.) Nov 21, 2022
Breast cancer patients who have pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) are more likely to have better clinical outcomes. The ability to predict which patient will respond to NAC early in the treatment course is importa...
Magnetic Resonance Imaging Breast Female Breast Neoplasms Deep Learning Neoadjuvant Therapy Humans
View on PubMed DOI

Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network.

European radiology Nov 18, 2022
OBJECTIVES: To develop a U-Net-based deep learning model for automated segmentation of craniopharyngioma.
Image Processing, Computer-Assisted Magnetic Resonance Imaging Pituitary Neoplasms Neural Networks, Computer Craniopharyngioma Deep Learning Humans
View on PubMed DOI
Popular Topics
Recent Journals