Radiology

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

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Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.

Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstr...

Jul 2022 35851282
Identification of early invisible acute ischemic stroke in non-contrast computed tomography using two-stage deep-learning model.

Although non-contrast computed tomography (NCCT) is the recommended examination for the suspected a...

Jul 2022 35910809
Multi-mask self-supervised learning for physics-guided neural networks in highly accelerated magnetic resonance imaging.

Self-supervised learning has shown great promise because of its ability to train deep learning (DL) ...

Jul 2022 35789133
Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors.

The performance of deep learning for cardiac magnetic resonance imaging (MRI) segmentation is oftent...

Jul 2022 35872359
3D Convolutional Neural Network Framework with Deep Learning for Nuclear Medicine.

Though artificial intelligence (AI) has been used in nuclear medicine for more than 50 years, more p...

Jul 2022 35924105
A deep learning-based automatic system for intracranial aneurysms diagnosis on three-dimensional digital subtraction angiographic images.

BACKGROUND: Intracranial aneurysms (IAs) are a life-threatening disease. Their rupture can lead to h...

Jul 2022 35792717
Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

PURPOSE: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscatte...

Jul 2022 35840774
Deep learning with multiresolution handcrafted features for brain MRI segmentation.

The segmentation of magnetic resonance (MR) images is a crucial task for creating pseudo computed to...

Jul 2022 36100342
Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review.

OBJECTIVE: Artificial intelligence (AI) has begun to play a pivotal role in hepatic imaging. This sy...

Jul 2022 35816550
External validation of the deep learning system "SpineNet" for grading radiological features of degeneration on MRIs of the lumbar spine.

BACKGROUND: Magnetic resonance imaging (MRI) is used to detect degenerative changes of the lumbar sp...

Jul 2022 35835892
Bone segmentation in contrast enhanced whole-body computed tomography.

Segmentation of bone regions allows for enhanced diagnostics, disease characterisation and treatment...

Jul 2022 34749353
A personalized deep learning denoising strategy for low-count PET images.

. Deep learning denoising networks are typically trained with images that are representative of the ...

Jul 2022 35697017
The 'prostate-muscle index': a simple pelvic cavity measurement predicting estimated blood loss and console time in robot-assisted radical prostatectomy.

This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pe...

Jul 2022 35831361
Deep Learning Automation of Kidney, Liver, and Spleen Segmentation for Organ Volume Measurements in Autosomal Dominant Polycystic Kidney Disease.

Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...

Jul 2022 35894017
Compact pediatric cardiac magnetic resonance imaging protocols.

Cardiac MRI is in many respects an ideal modality for pediatric cardiovascular imaging, enabling a c...

Jul 2022 35821442
Development and clinical applicability of MRI-based 3D prostate models in the planning of nerve-sparing robot-assisted radical prostatectomy.

The interpretation of conventional MRI may be limited by the two-dimensional presentation of the ima...

Jul 2022 35819591
Pedicle Screw Placement in Adolescent Idiopathic Scoliosis: A Comparison between Robotics Coupled with Navigation versus the Freehand Technique.

(1) Background: Robotics coupled with navigation (RAN) is a modern surgical platform shown to increa...

Jul 2022 35890882
A novel end-to-end deep learning solution for coronary artery segmentation from CCTA.

PURPOSE: Coronary computed tomographic angiography (CCTA) plays a vital role in the diagnosis of car...

Jul 2022 35770676
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