Radiology

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

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Knowledge-based reconstruction for measurement of right ventricular volumes on cardiovascular magnetic resonance images in a mixed population.

OBJECTIVE: Follow-up of right ventricular performance is important for patients with congenital hear...

Jun 2017 28580763
Multi-Velocity Encoding Four-Dimensional Flow Magnetic Resonance Imaging in the Assessment of Chronic Aortic Dissection.

BACKGROUND: Chronic descending thoracic aortic dissection (CDTAD) following surgical repair of ascen...

Jun 2017 29675440
Sparse Representation Based Multi-Instance Learning for Breast Ultrasound Image Classification.

We propose a novel method based on sparse representation for breast ultrasound image classification ...

May 2017 28690670
Robotic distal locking of intramedullary nailing: Technical description and cadaveric testing.

Interlocked intramedullary nailing is the treatment of choice for femoral shaft fractures. However, ...

May 2017 28544676
Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework.

Precision medicine approaches rely on obtaining precise knowledge of the true state of health of an ...

May 2017 28490744
Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis.

A relatively large number of studies have investigated the power of structural magnetic resonance im...

Apr 2017 28426817
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach.

In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Mult...

Apr 2017 28435096
Feature selection using ant colony optimization with tandem-run recruitment to diagnose bronchitis from CT scan images.

BACKGROUND AND OBJECTIVES: Computer-aided diagnosis (CAD) plays a vital role in the routine clinical...

Apr 2017 28552117
Cascade convolutional neural networks for automatic detection of thyroid nodules in ultrasound images.

PURPOSE: It is very important for calculation of clinical indices and diagnosis to detect thyroid no...

Apr 2017 28186630
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.

Neuroimaging has made it possible to measure pathological brain changes associated with Alzheimer's ...

Apr 2017 28414186
Machine learning-based kinetic modeling: a robust and reproducible solution for quantitative analysis of dynamic PET data.

A variety of compartment models are used for the quantitative analysis of dynamic positron emission ...

Apr 2017 28379842
A Novel Fusion Framework Based on Adaptive PCNN in NSCT Domain for Whole-Body PET and CT Images.

The PET and CT fusion images, combining the anatomical and functional information, have important cl...

Apr 2017 28473868
Big Data and Machine Learning-Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference.

The 38th radiology Intersociety Committee reviewed the current state and future direction of clinica...

Mar 2017 28372961
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.

Ultrasound (US) imaging is a widely used screening tool for obstetric examination and diagnosis. Acc...

Mar 2017 28371793
Immunological Approach for Full NURBS Reconstruction of Outline Curves from Noisy Data Points in Medical Imaging.

Curve reconstruction from data points is an important issue for advanced medical imaging techniques,...

Mar 2017 28368829
Automatic segmentation of liver tumors from multiphase contrast-enhanced CT images based on FCNs.

This paper presents a novel, fully automatic approach based on a fully convolutional network (FCN) f...

Mar 2017 28347562
A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks.

Spinal metastasis, a metastatic cancer of the spine, is the most common malignant disease in the spi...

Mar 2017 28364643
Force-assisted ultrasound imaging system through dual force sensing and admittance robot control.

PURPOSE: Ultrasound imaging has been a gold standard for clinical diagnoses due to its unique advant...

Mar 2017 28343302
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