Radiology

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

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Transforming UTE-mDixon MR Abdomen-Pelvis Images Into CT by Jointly Leveraging Prior Knowledge and Partial Supervision.

Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...

Feb 2021 32175868
ResNet-SCDA-50 for Breast Abnormality Classification.

(Aim) Breast cancer is the most common cancer in women and the second most common cancer worldwide. ...

Feb 2021 32287004
Sub-2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single-ended readout using convolutional neural networks.

PURPOSE: Depth of interaction (DOI) readout in PET imaging has been researched in efforts to mitigat...

Feb 2021 33305482
Automatic rat brain image segmentation using triple cascaded convolutional neural networks in a clinical PET/MR.

The purpose of this work was to develop and evaluate a deep learning approach for automatic rat brai...

Feb 2021 33527911
Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography.

Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature...

Feb 2021 33136539
Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging.

Deep neural networks exhibit limited generalizability across images with different entangled domain ...

Feb 2021 33141662
Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure.

PURPOSE: To generate diagnostic F-FDG PET images of pediatric cancer patients from ultra-low-dose F-...

Feb 2021 33527176
Brain tumor segmentation using K-means clustering and deep learning with synthetic data augmentation for classification.

Image processing plays a major role in neurologists' clinical diagnosis in the medical field. Severa...

Feb 2021 33524220
Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil.

The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...

Feb 2021 33524039
Pain Treatment Evaluation in COVID-19 Patients with Hesitant Fuzzy Linguistic Multicriteria Decision-Making.

The coronavirus disease 2019 (COVID-19) has emerged as a worldwide pandemic since March 2020. Althou...

Feb 2021 33604012
Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.

PURPOSE: Deep convolutional neural networks (CNN) for single photon emission computed tomography (SP...

Jan 2021 33511425
Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on al...

Jan 2021 33514711
Deep Learning-Based Acute Ischemic Stroke Lesion Segmentation Method on Multimodal MR Images Using a Few Fully Labeled Subjects.

Acute ischemic stroke (AIS) has been a common threat to human health and may lead to severe outcomes...

Jan 2021 33564322
Segmentation and Classification of Heart Angiographic Images Using Machine Learning Techniques.

Heart angiography is a test in which the concerned medical specialist identifies the abnormality in ...

Jan 2021 33575020
Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.

PURPOSE: Accurate brain tumor segmentation on magnetic resonance imaging (MRI) has wide-ranging appl...

Jan 2021 33501512
Denoising non-steady state dynamic PET data using a feed-forward neural network.

The quality of reconstructed dynamic PET images, as well as the statistical reliability of the estim...

Jan 2021 33238255
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