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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 7666-7686 of 14,525 articles

Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgery.

BACKGROUND: Brain metastasis velocity (BMV) predicts outcomes after initial distant brain failure (D...

Aug 2020 33817641

Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices.

Artificial intelligence algorithms based on principles of deep learning (DL) have made a large impac...

Aug 2020 32830874

MR Imaging of Endolymphatic Hydrops: Utility of iHYDROPS-Mi2 Combined with Deep Learning Reconstruction Denoising.

PURPOSE: MRI of endolymphatic hydrops (EH) 4 h after intravenous administration of a single dose of ...

Aug 2020 32830173

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagno...

Aug 2020 32816680

Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing.

The ideal radiology report reduces diagnostic uncertainty, while avoiding ambiguity whenever possibl...

Aug 2020 32813098

Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report.

Artificial intelligence (AI) will transform every step in the imaging value chain, including interpr...

Aug 2020 32809857

High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.

Magnetic resonance imaging (MRI) presents a detailed image of the internal organs via a magnetic fie...

Aug 2020 32861913

Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study.

Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist betwee...

Aug 2020 32824765

Changes in electroencephalography complexity and functional magnetic resonance imaging connectivity following robotic hand training in chronic stroke.

In recent years, robotic training has been utilized for recovery of motor control in patients with ...

Aug 2020 32799771

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model.

Machine learning (ML) algorithms permit the integration of different features into a model to perfor...

Aug 2020 32865533

Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model.

BACKGROUND AND OBJECTIVE: Currently, it is challenging to detect acute ischemic stroke (AIS)-related...

Aug 2020 32858281

Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.

OBJECTIVE: Efficient prediction of the progression of mild cognitive impairment (MCI) to Alzheimer's...

Aug 2020 32829290

Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.

Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is par...

Aug 2020 32797099

Thyroid Ultrasound Reports: Will the Thyroid Imaging, Reporting, and Data System Improve Natural Language Processing Capture of Critical Thyroid Nodule Features?

BACKGROUND: Critical thyroid nodule features are contained in unstructured ultrasound (US) reports. ...

Aug 2020 32799005

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions.

Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function....

Aug 2020 32792507

New convolutional neural network model for screening and diagnosis of mammograms.

Breast cancer is the most common cancer in women and poses a great threat to women's life and health...

Aug 2020 32790772

Development and clinical application of deep learning model for lung nodules screening on CT images.

Lung cancer screening based on low-dose CT (LDCT) has now been widely applied because of its effecti...

Aug 2020 32788705

3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is ess...

Aug 2020 32783134

Browse Categories

Radiomic analysis of magnetic resonance imaging predicts brain metastases velocity and clinical outcome after upfront radiosurgery.

Prospective Deployment of Deep Learning in MRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices.

MR Imaging of Endolymphatic Hydrops: Utility of iHYDROPS-Mi2 Combined with Deep Learning Reconstruction Denoising.

Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing.

Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report.

High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans.

Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study.

Changes in electroencephalography complexity and functional magnetic resonance imaging connectivity following robotic hand training in chronic stroke.

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model.

Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model.

Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.

Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.

Thyroid Ultrasound Reports: Will the Thyroid Imaging, Reporting, and Data System Improve Natural Language Processing Capture of Critical Thyroid Nodule Features?

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions.

New convolutional neural network model for screening and diagnosis of mammograms.

Development and clinical application of deep learning model for lung nodules screening on CT images.

3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Performance of Ga-68 PSMA PET/CT for diagnosis and grading of local prostate cancer.

Passive, yet not inactive: robotic exoskeleton walking increases cortical activation dependent on task.

Development of a Deep Learning-Based Model for Diagnosing Breast Nodules With Ultrasound.

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