Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET.

PURPOSE: The purpose of this study is to develop and validate a 3D deep learning model that predicts...

Jul 2021 34328531
AI-enhanced breast imaging: Where are we and where are we heading?

Significant advances in imaging analysis and the development of high-throughput methods that can ext...

Jul 2021 34392105
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging.

For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the heart is...

Jul 2021 33848244
A novel deep learning approach to extract Chinese clinical entities for lung cancer screening and staging.

BACKGROUND: Computed tomography (CT) reports record a large volume of valuable information about pat...

Jul 2021 34330277
Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning.

Transcranial magnetic stimulation (TMS) is a non-invasive neurostimulation technique that is increas...

Jul 2021 34329328
Improving the predictive potential of diffusion MRI in schizophrenia using normative models-Towards subject-level classification.

Diffusion MRI studies consistently report group differences in white matter between individuals diag...

Jul 2021 34322947
Deep-Learning-Based Color Doppler Ultrasound Image Feature in the Diagnosis of Elderly Patients with Chronic Heart Failure Complicated with Sarcopenia.

The neural network algorithm of deep learning was applied to optimize and improve color Doppler ultr...

Jul 2021 34367535
Generation of synthetic PET images of synaptic density and amyloid from F-FDG images using deep learning.

PURPOSE: Positron emission tomography (PET) imaging with various tracers is increasingly used in Alz...

Jul 2021 34224153
Modeling Texture in Deep 3D CNN for Survival Analysis.

Radiomics has shown remarkable potential for predicting the survival outcome for various types of ca...

Jul 2021 32960772
Application of Artificial Intelligence to Cardiovascular Computed Tomography.

Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innov...

Jul 2021 34402240
A Deep Learning-Based Automatic First-Arrival Picking Method for Ultrasound Sound-Speed Tomography.

Ultrasound sound-speed tomography (USST) has shown great prospects for breast cancer diagnosis due t...

Jul 2021 33886467
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks and Patch Statistics.

Quantitative ultrasound (QUS) can reveal crucial information on tissue properties, such as scatterer...

Jul 2021 33900913
Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.

A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from gliob...

Jul 2021 34312463
Magnetic Resonance Imaging Features of Cerebral Infarction in Critical Patients Based on Convolutional Neural Network.

The clinical application of the artificial intelligence-assisted system in imaging was investigated ...

Jul 2021 34385896
Diagnosis and Treatment Effect of Convolutional Neural Network-Based Magnetic Resonance Image Features on Severe Stroke and Mental State.

The purpose of this paper is to explore the impact of magnetic resonance imaging (MRI) image feature...

Jul 2021 34385898
Evaluation of Effect of Curcumin on Psychological State of Patients with Pulmonary Hypertension by Magnetic Resonance Image under Deep Learning.

This research aimed to evaluate the right ventricular segmentation ability of magnetic resonance ima...

Jul 2021 34385900
Three artificial intelligence data challenges based on CT and ultrasound.

PURPOSE: The 2020 edition of these Data Challenges was organized by the French Society of Radiology ...

Jul 2021 34312111
Evaluation of Deep Learning-Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images.

Attenuation correction remains a challenge in pelvic PET/MRI. In addition to the segmentation/model-...

Jul 2021 34301782
Magnetic-resonance-based measurement of electromagnetic fields and conductivity in vivo using single current administration-A machine learning approach.

Diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT) is a newly developed ...

Jul 2021 34293014
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