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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 7687-7707 of 14,525 articles

A machine learning framework to trace tumor tissue-of-origin of 13 types of cancer based on DNA somatic mutation.

Carcinoma of unknown primary (CUP), defined as metastatic cancers with unknown cancer origin, occurs...

Aug 2020 32771416

Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy.

To enable magnetic resonance imaging (MRI)-guided radiotherapy with real-time adaptation, motion mus...

Aug 2020 32408295

Accuracy of Trained Physicians is Inferior to Deep Learning-Based Algorithm for Determining Angles in Ultrasound of the Newborn Hip.

PURPOSE: Sonographic diagnosis of developmental dysplasia of the hip allows treatment with a flexio...

Aug 2020 32767299

A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.

Coronavirus disease 2019 (COVID-19) has spread globally, and medical resources become insufficient i...

Aug 2020 32444412

Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for Quality.

OBJECTIVES: Deep learning for medical imaging analysis uses convolutional neural networks pretrained...

Aug 2020 32757235

Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

The purpose of this study was to evaluate in a multicenter dataset the performance of an artificial...

Aug 2020 32755355

Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging.

The suppression of streak artifacts in computed tomography with a limited-angle configuration is cha...

Aug 2020 32369793

Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques.

BACKGROUND: This study aims to identify robust radiomic features for Magnetic Resonance Imaging (MRI...

Aug 2020 32758279

Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach.

Background Pharmacokinetic (PK) parameters obtained from dynamic contrast agent-enhanced (DCE) MRI e...

Aug 2020 32749203

Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.

Accurate segmentation of brain magnetic resonance imaging (MRI) is an essential step in quantifying ...

Aug 2020 32745102

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs.

BACKGROUND: Magnetic resonance images (MRI) is the main diagnostic tool for risk stratification and ...

Aug 2020 32781421

AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.

INTRODUCTION: Robust and reliable attenuation correction (AC) is a prerequisite for accurate quantif...

Aug 2020 32750498

Robot-assisted ultrasound navigation platform for 3D HIFU treatment planning: Initial evaluation for conformal interstitial ablation.

Interstitial Ultrasound-guided High Intensity Focused Ultrasound (USgHIFU) therapy has the potential...

Aug 2020 32818742

Probing the neural dynamics of mnemonic representations after the initial consolidation.

Memories are not stored as static engrams, but as dynamic representations affected by processes occu...

Jul 2020 32739553

Deep adaptive registration of multi-modal prostate images.

Artificial intelligence, especially the deep learning paradigm, has posed a considerable impact on c...

Jul 2020 32771771

Deep learning for cerebral angiography segmentation from non-contrast computed tomography.

Cerebral computed tomography angiography is a widely available imaging technique that helps in the d...

Jul 2020 32735633

Deep learning using preoperative magnetic resonance imaging information to predict early recovery of urinary continence after robot-assisted radical prostatectomy.

OBJECTIVES: To investigate whether a deep learning model from magnetic resonance imaging information...

Jul 2020 32729184

Browse Categories

A machine learning framework to trace tumor tissue-of-origin of 13 types of cancer based on DNA somatic mutation.

Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy.

Accuracy of Trained Physicians is Inferior to Deep Learning-Based Algorithm for Determining Angles in Ultrasound of the Newborn Hip.

A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.

Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for Quality.

Multicenter Multireader Evaluation of an Artificial Intelligence-Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI.

Artifact removal using a hybrid-domain convolutional neural network for limited-angle computed tomography imaging.

Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques.

Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach.

Automatic segmentation of brain MRI using a novel patch-wise U-net deep architecture.

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs.

AI-driven attenuation correction for brain PET/MRI: Clinical evaluation of a dementia cohort and importance of the training group size.

Robot-assisted ultrasound navigation platform for 3D HIFU treatment planning: Initial evaluation for conformal interstitial ablation.

Probing the neural dynamics of mnemonic representations after the initial consolidation.

Deep adaptive registration of multi-modal prostate images.

Deep learning for cerebral angiography segmentation from non-contrast computed tomography.

Deep learning using preoperative magnetic resonance imaging information to predict early recovery of urinary continence after robot-assisted radical prostatectomy.

Impact of radiomics on the breast ultrasound radiologist's clinical practice: From lumpologist to data wrangler.

Motion correction of respiratory-gated PET images using deep learning based image registration framework.

Efficient Deep Learning Architecture for Detection and Recognition of Thyroid Nodules.

IKWI-net: A cross-domain convolutional neural network for undersampled magnetic resonance image reconstruction.

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