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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8191-8211 of 14,558 articles

Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke.

PURPOSE: The aim of this study was to develop an interactive deep learning-assisted identification o...

Oct 2019 31673998

Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks.

PURPOSE: Medical image synthesis can simulate a target modality of interest based on existing modali...

Oct 2019 31743880

Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches.

Deep learning algorithms have achieved great success in cancer image classification. However, it is ...

Oct 2019 31671711

Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis.

BACKGROUND: Fractional flow reserve based on coronary CT angiography (CT-FFR) is gaining importance ...

Oct 2019 31664509

Ultrafast Plane Wave Imaging With Line-Scan-Quality Using an Ultrasound-Transfer Generative Adversarial Network.

In the medical ultrasound field, ultrafast imaging has recently become a hot topic. However, the dia...

Oct 2019 31675348

Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.

Tomographic imaging using penetrating waves generates cross-sectional views of the internal anatomy ...

Oct 2019 31659306

MCADNNet: Recognizing Stages of Cognitive Impairment through Efficient Convolutional fMRI and MRI Neural Network Topology Models.

Mild cognitive impairment (MCI) represents the intermediate stage between normal cerebral aging and ...

Oct 2019 32021737

Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM.

Detection and quantification of functional deficits due to moderate traumatic brain injury (mTBI) is...

Oct 2019 31647439

Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography.

Electrical impedance tomography (EIT) is an attractive technique that aims to reconstruct the unknow...

Oct 2019 31647424

Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network.

BACKGROUND AND OBJECTIVE: Cardiac perfusion magnetic resonance imaging (MRI) with first pass dynamic...

Oct 2019 31671341

Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation.

Background Fixed airflow limitation and ventilation heterogeneity are common in chronic obstructive ...

Oct 2019 31638491

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. C...

Oct 2019 31707199

SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis.

Machine learning classification is an attractive approach to automatically differentiate patients fr...

Oct 2019 31734524

Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks.

Neuroanatomical segmentation in magnetic resonance imaging (MRI) of the brain is a prerequisite for ...

Oct 2019 31633863

Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

BACKGROUND: Current lung cancer screening guidelines use mean diameter, volume or density of the lar...

Oct 2019 32864596

Browse Categories

Development of a deep learning model to identify hyperdense MCA sign in patients with acute ischemic stroke.

Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks.

Illuminating Clues of Cancer Buried in Prostate MR Image: Deep Learning and Expert Approaches.

Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis.

Ultrafast Plane Wave Imaging With Line-Scan-Quality Using an Ultrasound-Transfer Generative Adversarial Network.

Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning.

MCADNNet: Recognizing Stages of Cognitive Impairment through Efficient Convolutional fMRI and MRI Neural Network Topology Models.

Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM.

Induced-Current Learning Method for Nonlinear Reconstructions in Electrical Impedance Tomography.

Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network.

Chronic Obstructive Pulmonary Disease: Thoracic CT Texture Analysis and Machine Learning to Predict Pulmonary Ventilation.

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis.

Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks.

Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: A pilot study.

Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning.

Cascade and Fusion of Multitask Convolutional Neural Networks for Detection of Thyroid Nodules in Contrast-Enhanced CT.

Artificial Intelligence in Medicine: Where Are We Now?

cytogenotoxic evaluation of sertraline.

Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network.

Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method.

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