Radiology

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

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MedGAN: Medical image translation using GANs.

Image-to-image translation is considered a new frontier in the field of medical image analysis, with...

Nov 2019 31812132
Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression.

PURPOSE: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative for perfusion imag...

Nov 2019 31751497
Partial-ring PET image restoration using a deep learning based method.

PET scanners with partial-ring geometry have been proposed for various imaging purposes. The incompl...

Nov 2019 31581143
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.

BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and co...

Nov 2019 31752923
Deep segmentation networks predict survival of non-small cell lung cancer.

Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is t...

Nov 2019 31754135
Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.

PURPOSE: To investigate the predictive capability of machine learning-based multiparametric magnetic...

Nov 2019 31783344
A fuzzy clustering based color-coded diagram for effective illustration of blood perfusion parameters in contrast-enhanced ultrasound videos.

BACKGROUND AND OBJECTIVE: Early identification and diagnosis of tumors are of great significance to ...

Nov 2019 31796224
Deep learning modeling using normal mammograms for predicting breast cancer risk.

PURPOSE: To investigate two deep learning-based modeling schemes for predicting short-term risk of d...

Nov 2019 31667873
Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Background Deep learning (DL) algorithms are gaining extensive attention for their excellent perform...

Nov 2019 31746687
Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.

Schizophrenia is a severe psychiatric disorder associated with both structural and functional brain ...

Nov 2019 31737978
Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

PURPOSE: To assess the performance of texture analysis of conventional magnetic resonance imaging (M...

Nov 2019 31741126
Energy enhanced tissue texture in spectral computed tomography for lesion classification.

Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the ...

Nov 2019 32226923
Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning.

Obstetric ultrasound examination of physiological parameters has been mainly used to estimate the fe...

Nov 2019 31980089
Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternati...

Nov 2019 31811981
Response surface methodology and artificial neural network approach for the optimization of ultrasound-assisted extraction of polyphenols from garlic.

This paper aimed to establish the optimal conditions for ultrasound-assisted extraction of polypheno...

Nov 2019 31743742
Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.

Liver disease causes millions of deaths per year worldwide, and approximately half of these cases ar...

Nov 2019 31730265
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.

Precise 3D segmentation of infant brain tissues is an essential step towards comprehensive volumetri...

Nov 2019 31785402
Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks.

Labeled medical imaging data is scarce and expensive to generate. To achieve generalizable deep lear...

Nov 2019 31729403
Deep learning segmentation of major vessels in X-ray coronary angiography.

X-ray coronary angiography is a primary imaging technique for diagnosing coronary diseases. Although...

Nov 2019 31729445
Statistical modeling and knowledge-based segmentation of cerebral artery based on TOF-MRA and MR-T1.

BACKGROUND AND OBJECTIVE: For cerebrovascular segmentation from time-of-flight (TOF) magnetic resona...

Nov 2019 31751871
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