Radiology

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

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Region-of-interest undersampled MRI reconstruction: A deep convolutional neural network approach.

Compressive sensing enables fast magnetic resonance imaging (MRI) reconstruction with undersampled k...

Jul 2019 31352015
Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.

BACKGROUND: The variation in articular cartilage thickness (ACT) in healthy knees is difficult to qu...

Jul 2019 31445869
Prediction of Chemotherapy Response of Osteosarcoma Using Baseline F-FDG Textural Features Machine Learning Approaches with PCA.

PURPOSE: Patients with high-grade osteosarcoma undergo several chemotherapy cycles before surgical i...

Jul 2019 31427908
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.

Manual annotation is considered to be the "gold standard" in medical imaging analysis. However, medi...

Jul 2019 31521252
Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However...

Jul 2019 31329113
Learning the implicit strain reconstruction in ultrasound elastography using privileged information.

Quasi-static ultrasound elastography is an importance imaging technology to assess the conditions of...

Jul 2019 31352179
Disentangled representation learning in cardiac image analysis.

Typically, a medical image offers spatial information on the anatomy (and pathology) modulated by im...

Jul 2019 31351230
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.

PURPOSE: Diffusion-weighted magnetic resonance imaging (DW-MRI) is of critical importance for charac...

Jul 2019 31323317
MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.

Magnetic resonance imaging (MRI) has been widely used in combination with computed tomography (CT) r...

Jul 2019 31146267
High-Resolution SPECT Imaging of Stimuli-Responsive Soft Microrobots.

Untethered small-scale robots have great potential for biomedical applications. However, critical ba...

Jul 2019 31304653
Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.

BACKGROUND: Diffusion-weighted imaging (DWI) in MRI plays an increasingly important role in diagnost...

Jul 2019 31301201
Cine MRI analysis by deep learning of optical flow: Adding the temporal dimension.

Accurate segmentation of the left ventricle (LV) from cine magnetic resonance imaging (MRI) is an im...

Jul 2019 31323604
Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy.

PURPOSE: Glioblastoma is routinely treated by concomitant radiochemotherapy. Current target definiti...

Jul 2019 31302391
DeepHarmony: A deep learning approach to contrast harmonization across scanner changes.

Magnetic resonance imaging (MRI) is a flexible medical imaging modality that often lacks reproducibi...

Jul 2019 31301354
Machine learning for differentiating metastatic and completely responded sclerotic bone lesion in prostate cancer: a retrospective radiomics study.

OBJECTIVE: Using CT texture analysis and machine learning methods, this study aims to distinguish th...

Jul 2019 31219712
Flexible Prediction of CT Images From MRI Data Through Improved Neighborhood Anchored Regression for PET Attenuation Correction.

Given the complicated relationship between the magnetic resonance imaging (MRI) signals and the atte...

Jul 2019 31295129
A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction.

Compressed sensing (CS) theory can accelerate multi-contrast magnetic resonance imaging (MRI) by sam...

Jul 2019 31295112
Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists.

BackgroundManagement of thyroid nodules may be inconsistent between different observers and time con...

Jul 2019 31287391
Undersampled MR image reconstruction using an enhanced recursive residual network.

When using aggressive undersampling, it is difficult to recover the high quality image with reliably...

Jul 2019 31323504
Holistic decomposition convolution for effective semantic segmentation of medical volume images.

Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance in many different 2D...

Jul 2019 31302511
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