Radiology

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

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Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography Volumes.

Accurate localisation of mandibular canals in lower jaws is important in dental implantology, in whi...

Apr 2020 32245989
Myths and facts about artificial intelligence: why machine- and deep-learning will not replace interventional radiologists.

Artificial intelligence (AI) is revolutionizing healthcare and transforming the clinical practice of...

Apr 2020 32246300
Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.

Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and ...

Apr 2020 32092710
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning.

The classification process of lung nodule detection in a traditional computer-aided detection (CAD) ...

Mar 2020 32318102
Diagnosis of Thyroid Nodule with New Ultrasound Imaging Modalities.

B-mode ultrasound (US) technology is an integral part of diagnosing and assessing risk stratificati...

Mar 2020 32322606
Classification of pulmonary lesion based on multiparametric MRI: utility of radiomics and comparison of machine learning methods.

OBJECTIVES: We develop and validate a radiomics model based on multiparametric magnetic resonance im...

Mar 2020 32222795
Brain MRI analysis using a deep learning based evolutionary approach.

Convolutional neural network (CNN) models have recently demonstrated impressive performance in medic...

Mar 2020 32259762
Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities.

Quantitative susceptibility mapping (QSM) has gained broad interest in the field by extracting bulk ...

Mar 2020 32207195
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.

Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) f...

Mar 2020 32203040
Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions.

OBJECTIVES: The existence of anatomofunctional brain abnormalities in bipolar disorder (BD) is now w...

Mar 2020 32108409
Low-contrast X-ray enhancement using a fuzzy gamma reasoning model.

X-ray images play an important role in providing physicians with satisfactory information correlated...

Mar 2020 32193863
Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN).

Develop a machine learning-based method to generate multi-contrast anatomical textures in the 4D ext...

Mar 2020 32023555
Applications of artificial intelligence in multimodality cardiovascular imaging: A state-of-the-art review.

There has been a tidal wave of recent interest in artificial intelligence (AI), machine learning and...

Mar 2020 32201286
Recurrent attention network for false positive reduction in the detection of pulmonary nodules in thoracic CT scans.

PURPOSE: Multiview two-dimensional (2D) convolutional neural networks (CNNs) and three-dimensional (...

Mar 2020 32030769
Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.

Background Brain metastases are manually identified during stereotactic radiosurgery (SRS) treatment...

Mar 2020 32181729
A convolutional neural network-based system to classify patients using FDG PET/CT examinations.

BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modal...

Mar 2020 32183748
Machine Learning Diagnostic Modeling for Classifying Fibromyalgia Using B-mode Ultrasound Images.

Fibromyalgia (FM) diagnosis remains a challenge for clinicians due to a lack of objective diagnostic...

Mar 2020 32174253
Diabetic retinopathy and ultrawide field imaging.

The introduction of ultrawide field imaging has allowed the visualization of approximately 82% of th...

Mar 2020 32167854
Highly realistic simulation for robot-assisted hypothalamic hamartoma real-time MRI-guided laser interstitial thermal therapy (LITT).

PURPOSE: Real-time MRI-guided laser interstitial thermal therapy (LITT) is a challenging procedure d...

Mar 2020 32166344
A knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI.

BACKGROUND: The classification of benign versus malignant breast lesions on multi-sequence Magnetic ...

Mar 2020 32173583
Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study.

BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). ...

Mar 2020 32164627
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