Radiology

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

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Detecting myocardial scar using electrocardiogram data and deep neural networks.

Ischaemic heart disease is among the most frequent causes of death. Early detection of myocardial pa...

Oct 2020 33006947
How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts.

In recent years, there has been a dramatic increase in research papers about machine learning (ML) a...

Oct 2020 33006018
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.

Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...

Oct 2020 34113927
Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.

Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine...

Oct 2020 33004526
Visual interpretation of [F]Florbetaben PET supported by deep learning-based estimation of amyloid burden.

PURPOSE: Amyloid PET which has been widely used for noninvasive assessment of cortical amyloid burde...

Sep 2020 32990807
Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network.

Background Large vessel occlusion (LVO) stroke is one of the most time-sensitive diagnoses in medici...

Sep 2020 32990513
Potential use of deep learning techniques for postmortem imaging.

The use of postmortem computed tomography in forensic medicine, in addition to conventional autopsy,...

Sep 2020 32990926
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNN.

In breast cancer, undetected lymph node metastases can spread to distal parts of the body for which ...

Sep 2020 33768221
Improving Quantitative Magnetic Resonance Imaging Using Deep Learning.

Deep learning methods have shown promising results for accelerating quantitative musculoskeletal (MS...

Sep 2020 32992372
Clinical evaluation of atlas- and deep learning-based automatic segmentation of multiple organs and clinical target volumes for breast cancer.

Manual segmentation is the gold standard method for radiation therapy planning; however, it is time-...

Sep 2020 32991916
Machine Learning in Nuclear Medicine: Part 2-Neural Networks and Clinical Aspects.

This article is the second part in our machine learning series. Part 1 provided a general overview o...

Sep 2020 32978286
A novel fluoroscopy-based robot system for pedicle screw fixation surgery.

BACKGROUND: Robot-assisted pedicle screw insertion has gained popularity in the spinal surgery field...

Sep 2020 32949442
Truncation compensation and metallic dental implant artefact reduction in PET/MRI attenuation correction using deep learning-based object completion.

The susceptibility of MRI to metallic objects leads to void MR signal and missing information around...

Sep 2020 32976116
BRAVE-NET: Fully Automated Arterial Brain Vessel Segmentation in Patients With Cerebrovascular Disease.

Arterial brain vessel assessment is crucial for the diagnostic process in patients with cerebrovasc...

Sep 2020 33733207
Transfer learning in deep neural network based under-sampled MR image reconstruction.

In Magnetic Resonance Imaging (MRI), the success of deep learning-based under-sampled MR image recon...

Sep 2020 32980504
Automated rotator cuff tear classification using 3D convolutional neural network.

Rotator cuff tear (RCT) is one of the most common shoulder injuries. When diagnosing RCT, skilled or...

Sep 2020 32973192
Deep learning-based synthetic CT generation for paediatric brain MR-only photon and proton radiotherapy.

BACKGROUND AND PURPOSE: To enable accurate magnetic resonance imaging (MRI)-based dose calculations,...

Sep 2020 32976877
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy.

This brief review summarizes the major applications of artificial intelligence (AI), in particular d...

Sep 2020 34191161
Approximating anatomically-guided PET reconstruction in image space using a convolutional neural network.

In the last two decades, it has been shown that anatomically-guided PET reconstruction can lead to i...

Sep 2020 32971267
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