Radiology

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

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Research on multi-path dense networks for MRI spinal segmentation.

Accurate and robust segmentation of anatomical structures from magnetic resonance images is valuable...

Mar 2021 33711080
Review of Artificial Intelligence Training Tools and Courses for Radiologists.

Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging...

Mar 2021 33714667
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.

Recent developments in artificial intelligence have generated increasing interest to deploy automate...

Mar 2021 33831594
Detection of prenatal alcohol exposure using machine learning classification of resting-state functional network connectivity data.

Fetal Alcohol Spectrum Disorder (FASD), a wide range of physical and neurobehavioral abnormalities a...

Mar 2021 33716098
The evolving role of EUS-guided tissue acquisition.

The introduction of endoscopic ultrasound-guided fine-needle aspiration into clinical practice was a...

Mar 2021 33611846
Liver Fat Assessment in Multiview Sonography Using Transfer Learning With Convolutional Neural Networks.

OBJECTIVES: To develop and evaluate deep learning models devised for liver fat assessment based on u...

Mar 2021 33749862
Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising.

Automatic cerebral cortical surface reconstruction is a useful tool for cortical anatomy quantificat...

Mar 2021 33711484
Differentiating IDH status in human gliomas using machine learning and multiparametric MR/PET.

BACKGROUND: The purpose of this study was to develop a voxel-wise clustering method of multiparametr...

Mar 2021 33691798
Robotic assistant spinal angiography: a case report and technical considerations.

Robotic-assisted technology has shown to be promising in coronary and peripheral vascular interventi...

Mar 2021 33692074
Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.

Background Missing MRI sequences represent an obstacle in the development and use of deep learning (...

Mar 2021 33687284
Extracting clinical terms from radiology reports with deep learning.

Extracting clinical terms from free-text format radiology reports is a first important step toward t...

Mar 2021 33711545
Deep learning classification of lung cancer histology using CT images.

Tumor histology is an important predictor of therapeutic response and outcomes in lung cancer. Tissu...

Mar 2021 33727623
MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer.

Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the stan...

Mar 2021 33686147
Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis.

Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been prove...

Mar 2021 33706149
Micro-morphological feature visualization, auto-classification, and evolution quantitative analysis of tumors by using SR-PCT.

Tissue micro-morphological abnormalities and interrelated quantitative data can provide immediate ev...

Mar 2021 33682368
State of the art in robotic rectal surgery: marginal gains worth the pain?

After their first introduction in the 1990s to overcome the limitations of conventional laparoscopic...

Mar 2021 33675509
TractLearn: A geodesic learning framework for quantitative analysis of brain bundles.

Deep learning-based convolutional neural networks have recently proved their efficiency in providing...

Mar 2021 33689863
Diagnostic Performance of an Artificial Intelligence System in Breast Ultrasound.

OBJECTIVES: We study the performance of an artificial intelligence (AI) program designed to assist r...

Mar 2021 33665833
To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).

Artificial intelligence (AI) has made impressive progress over the past few years, including many ap...

Mar 2021 33666696
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