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Radiology Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 1051-1071 of 5,219 articles

Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network.

Attenuation correction is a notable challenge associated with simultaneous PET/MRI, particularly in ...

Aug 2018 30166355

Diagnostic performance of real-time robotic arm-assisted F-FDG PET/CT-guided percutaneous biopsy in metabolically active abdominal and pelvic lesions.

PURPOSE: To evaluate the feasibility and diagnostic performance of F-FDG PET/CT-guided biopsy of abd...

Aug 2018 30167803

Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.

Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners. We describe...

Aug 2018 30166357

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.

A large number of papers have introduced novel machine learning and feature extraction methods for a...

Aug 2018 30130647

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Spatial and intensity normalizations are nowadays a prerequisite for neuroimaging analysis. Influenc...

Jul 2018 30215285

Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

Using a single imaging modality to diagnose Alzheimer's disease (AD) or mild cognitive impairment (M...

Jul 2018 30028716

Quantitative susceptibility mapping using deep neural network: QSMnet.

Deep neural networks have demonstrated promising potential for the field of medical image reconstruc...

Jun 2018 29894829

Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images.

Positron emission tomography (PET) is a functional imaging modality widely used in neuroscience stud...

Jun 2018 29790857

Multicenter validation of [F]-FDG PET and support-vector machine discriminant analysis in automatically classifying patients with amyotrophic lateral sclerosis versus controls.

OBJECTIVE: F-Fluorodeoxyglucose (F-FDG) positron emission tomography (PET) single-center studies usi...

Jun 2018 29862846

Thread/paper- and paper-based microfluidic devices for glucose assays employing artificial neural networks.

This paper describes the fabrication of and data collection from two microfluidic devices: a microfl...

May 2018 29660155

Adaptive template generation for amyloid PET using a deep learning approach.

Accurate spatial normalization (SN) of amyloid positron emission tomography (PET) images for Alzheim...

May 2018 29752765

Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.

Different modalities such as structural MRI, FDG-PET, and CSF have complementary information, which ...

May 2018 29736986

Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.

Increasing the image quality of positron emission tomography (PET) is an essential topic in the PET ...

Apr 2018 29993685

Pharmacokinetics of Iodine and Fluoride following Application of an Anticaries Varnish in Adults.

Researchers have suggested that combining topical fluoride with an antiseptic to reduce cariogenic b...

Apr 2018 30938600

Radiomics - the value of the numbers in present and future radiology.

Radiomics is a new concept that has been functioning in medicine for only a few years. This idea, cr...

Apr 2018 30627231

Development and application of artificial neural network models to estimate values of a complex human thermal comfort index associated with urban heat and cool island patterns using air temperature data from a standard meteorological station.

The present study deals with the development and application of artificial neural network models (AN...

Apr 2018 29644432

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia....

Jan 2018 29352978

Radiology

Browse Categories

Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network.

Diagnostic performance of real-time robotic arm-assisted F-FDG PET/CT-guided percutaneous biopsy in metabolically active abdominal and pelvic lesions.

Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.

Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease.

Quantitative susceptibility mapping using deep neural network: QSMnet.

Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images.

Multicenter validation of [F]-FDG PET and support-vector machine discriminant analysis in automatically classifying patients with amyotrophic lateral sclerosis versus controls.

Thread/paper- and paper-based microfluidic devices for glucose assays employing artificial neural networks.

Adaptive template generation for amyloid PET using a deep learning approach.

Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.

Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.

Pharmacokinetics of Iodine and Fluoride following Application of an Anticaries Varnish in Adults.

Radiomics - the value of the numbers in present and future radiology.

Development and application of artificial neural network models to estimate values of a complex human thermal comfort index associated with urban heat and cool island patterns using air temperature data from a standard meteorological station.

Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning.

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.

Improving the Accuracy of Simultaneously Reconstructed Activity and Attenuation Maps Using Deep Learning.

Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.

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