Radiology

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

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A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance.

OBJECTIVES: To develop a deep learning algorithm for automated detection and localization of intracr...

May 2020 32474633
Deciphering image contrast in object classification deep networks.

The ultimate goal of neuroscience is to explain how complex behaviour arises from neuronal activity....

May 2020 32480109
Breast ultrasound region of interest detection and lesion localisation.

In current breast ultrasound computer aided diagnosis systems, the radiologist preselects a region o...

May 2020 32828439
Automated computer-assisted detection system for cerebral aneurysms in time-of-flight magnetic resonance angiography using fully convolutional network.

BACKGROUND: As the rupture of cerebral aneurysm may lead to fatal results, early detection of unrupt...

May 2020 32471439
Mass detection in mammograms by bilateral analysis using convolution neural network.

BACKGROUND AND OBJECTIVE: Automatic detection of the masses in mammograms is a big challenge and pla...

May 2020 32480189
Encoder-decoder CNN models for automatic tracking of tongue contours in real-time ultrasound data.

One application of medical ultrasound imaging is to visualize and characterize human tongue shape an...

May 2020 32450205
Leveraging spatial uncertainty for online error compensation in EMT.

PURPOSE: Electromagnetic tracking (EMT) can potentially complement fluoroscopic navigation, reducing...

May 2020 32440957
Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies.

PET attenuation correction (AC) on systems lacking CT/transmission scanning, such as dedicated brain...

May 2020 32436261
Colour Doppler ultrasound of temporal arteries for the diagnosis of giant cell arteritis: a multicentre deep learning study.

OBJECTIVES: Giant cell arteritis (GCA) is the most common systemic vasculitis in adults. In recent y...

May 2020 32441644
Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coro...

May 2020 32432903
Application and Translation of Artificial Intelligence to Cardiovascular Imaging in Nuclear Medicine and Noncontrast CT.

Myocardial perfusion imaging with single photon emission computed tomography or positron emission to...

May 2020 32540032
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings.

Window settings to rescale and contrast stretch raw data from radiographic images such as Computed T...

May 2020 32593388
Machine-learning based exploration of determinants of gray matter volume in the KORA-MRI study.

To identify the most important factors that impact brain volume, while accounting for potential coll...

May 2020 32433583
T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography.

In this paper, we proposed nested encoder-decoder architecture named T-Net. T-Net consists of severa...

May 2020 32447265
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data.

PURPOSE: Attenuation correction (AC) is essential for quantitative PET imaging. In the absence of co...

May 2020 32492585
Supervised machine learning for coronary artery lumen segmentation in intravascular ultrasound images.

Intravascular ultrasound (IVUS) has been widely used to capture cross sectional lumen frames of inne...

May 2020 32368868
Automated fibroglandular tissue segmentation in breast MRI using generative adversarial networks.

Fibroglandular tissue (FGT) segmentation is a crucial step for quantitative analysis of background p...

May 2020 32155611
Ultrasound Deep Learning for Wall Segmentation and Near-Wall Blood Flow Measurement.

Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynam...

May 2020 32746163
A closer look to the new frontier of artificial intelligence in the percutaneous treatment of primary lesions of the liver.

The purpose of thermal ablation is induction of tumor death by means of localized hyperthermia resul...

May 2020 32424627
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