AIMC Topic: Magnetic Resonance Imaging

Clear Filters Showing 2351 to 2360 of 6074 articles

Application of a convolutional neural network to the quality control of MRI defacing.

Computers in biology and medicine Oct 18, 2022
Large-scale neuroimaging datasets present unique challenges for automated processing pipelines. Motivated by a large clinical trials dataset with over 235,000 MRI scans, we consider the challenge of defacing - anonymisation to remove identifying faci...
Quality Control Neural Networks, Computer Neuroimaging Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.

BMC medical informatics and decision making Oct 18, 2022
BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is time-consu...
Magnetic Resonance Imaging Natural Language Processing Magnetic Resonance Spectroscopy Ventricular Function, Right Cardiomyopathy, Hypertrophic Artificial Intelligence Stroke Volume Humans
View on PubMed DOI

Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial.

Investigative radiology Oct 17, 2022
OBJECTIVES: Computer-aided triaging (CAT) and computer-aided diagnosis (CAD) of screening breast magnetic resonance imaging have shown potential to reduce the workload of radiologists in the context of dismissing normal breast scans and dismissing be...
Diagnosis, Computer-Assisted Deep Learning Mammography Magnetic Resonance Imaging Female Sensitivity and Specificity Animals Neoplasms
View on PubMed DOI

Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs.

Scientific reports Oct 17, 2022
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer's disease demen...
Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Early Diagnosis Deep Learning Cognitive Dysfunction Biomarkers Disease Progression Humans
View on PubMed DOI

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities.

Sensors (Basel, Switzerland) Oct 16, 2022
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated to suffer from MS. Globally, a new case of MS is reported every f...
Reproducibility of Results Deep Learning Magnetic Resonance Imaging Humans Machine Learning Multiple Sclerosis
View on PubMed DOI

Segmentation of Vestibular Schwannomas on Postoperative Gadolinium-Enhanced T1-Weighted and Noncontrast T2-Weighted Magnetic Resonance Imaging Using Deep Learning.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Oct 14, 2022
OBJECTIVE: Surveillance of postoperative vestibular schwannomas currently relies on manual segmentation and measurement of the tumor by content experts, which is both labor intensive and time consuming. We aimed to develop and validate deep learning ...
Neuroma, Acoustic Artificial Intelligence Humans Retrospective Studies Female Adult Deep Learning Magnetic Resonance Imaging Gadolinium
View on PubMed DOI

Deep Learning Approach for Diagnosing Early Osteonecrosis of the Femoral Head Based on Magnetic Resonance Imaging.

The Journal of arthroplasty Oct 13, 2022
BACKGROUND: The diagnosis of early osteonecrosis of the femoral head (ONFH) based on magnetic resonance imaging (MRI) is challenging due to variability in the surgeon's experience level. This study developed an MRI-based deep learning system to detec...
Magnetic Resonance Imaging Femur Head Retrospective Studies Deep Learning Osteonecrosis Femur Head Necrosis Humans
View on PubMed DOI

DSMENet: Detail and Structure Mutually Enhancing Network for under-sampled MRI reconstruction.

Computers in biology and medicine Oct 13, 2022
Reconstructing zero-filled MR images (ZF) from partial k-space by convolutional neural networks (CNN) is an important way to accelerate MRI. However, due to the lack of attention to different components in ZF, it is challenging to learn the mapping f...
Knee Joint Image Processing, Computer-Assisted Humans Knee Magnetic Resonance Imaging Neural Networks, Computer
View on PubMed DOI

Virtual coil augmentation for MR coil extrapoltion via deep learning.

Magnetic resonance imaging Oct 12, 2022
Magnetic resonance imaging (MRI) is a widely used medical imaging modality. However, due to the limitations in hardware, scan time, and throughput, it is often clinically challenging to obtain high-quality MR images. In this article, we propose a met...
Artificial Intelligence Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Attention-based Deep Learning for the Preoperative Differentiation of Axillary Lymph Node Metastasis in Breast Cancer on DCE-MRI.

Journal of magnetic resonance imaging : JMRI Oct 11, 2022
BACKGROUND: Previous studies have explored the potential on radiomics features of primary breast cancer tumor to identify axillary lymph node (ALN) metastasis. However, the value of deep learning (DL) to identify ALN metastasis remains unclear.
Retrospective Studies Female Humans Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Breast Neoplasms Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals