AIMC Journal:
IEEE transactions on medical imaging

Showing 591 to 600 of 699 articles

Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network.

IEEE transactions on medical imaging Sep 15, 2017
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction algorithms are one of the most promising way to compensate for the increased noise due to reduction of photon flu...
Humans Neural Networks, Computer Algorithms Radiation Dosage Thorax Tomography, X-Ray Computed Abdomen Radiographic Image Interpretation, Computer-Assisted
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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

IEEE transactions on medical imaging Sep 12, 2017
We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-lateral oblique (MLO) mammography views in order to estimate the patient's risk of developing breast cancer. The main innovation behind this methodolog...
Humans Imaging, Three-Dimensional Mammography Radiographic Image Interpretation, Computer-Assisted Female Machine Learning Breast Breast Neoplasms Databases, Factual ROC Curve
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Unsupervised Segmentation of 5D Hyperpolarized Carbon-13 MRI Data Using a Fuzzy Markov Random Field Model.

IEEE transactions on medical imaging Sep 4, 2017
Hyperpolarized MRI with C-labelled compounds is an emerging clinical technique allowing in vivo metabolic processes to be characterized non-invasively. Accurate quantification of C data, both for clinical and research purposes, typically relies on th...
Magnetic Resonance Imaging Fuzzy Logic Models, Statistical Animals Rats Contrast Media Neoplasms, Experimental Phantoms, Imaging Carbon Isotopes Unsupervised Machine Learning Markov Chains Image Interpretation, Computer-Assisted Algorithms Computer Simulation
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Unsupervised Myocardial Segmentation for Cardiac BOLD.

IEEE transactions on medical imaging Jul 12, 2017
A fully automated 2-D+time myocardial segmentation framework is proposed for cardiac magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia detection with CINE BOLD CMR relies on spatio-temporal patterns in myocardial intens...
Algorithms Unsupervised Machine Learning Magnetic Resonance Imaging, Cine Heart Dogs Animals Image Processing, Computer-Assisted
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SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound.

IEEE transactions on medical imaging Jul 11, 2017
Identifying and interpreting fetal standard scan planes during 2-D ultrasound mid-pregnancy examinations are highly complex tasks, which require years of training. Apart from guiding the probe to the correct location, it can be equally difficult for ...
Video Recording Ultrasonography, Prenatal Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Pregnancy Female
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Constrained Deep Weak Supervision for Histopathology Image Segmentation.

IEEE transactions on medical imaging Jul 7, 2017
In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep weak supervision (DWS);...
Histocytochemistry Tissue Array Analysis Algorithms Databases, Factual Colon Image Processing, Computer-Assisted Colonic Neoplasms Supervised Machine Learning Humans Neural Networks, Computer
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Modeling Task fMRI Data Via Deep Convolutional Autoencoder.

IEEE transactions on medical imaging Jun 15, 2017
Task-based functional magnetic resonance imaging (tfMRI) has been widely used to study functional brain networks under task performance. Modeling tfMRI data is challenging due to at least two problems: the lack of the ground truth of underlying neura...
Connectome Magnetic Resonance Imaging Unsupervised Machine Learning Humans Brain Deep Learning
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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.

IEEE transactions on medical imaging Jun 13, 2017
Given the potential risk of X-ray radiation to the patient, low-dose CT has attracted a considerable interest in the medical imaging field. Currently, the main stream low-dose CT methods include vendor-specific sinogram domain filtration and iterativ...
Humans Liver Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Abdomen Computer Simulation Tomography, X-Ray Computed
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Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases.

IEEE transactions on medical imaging Jun 9, 2017
Collecting large databases of annotated medical images is crucial for the validation and testing of feature extraction, statistical analysis, and machine learning algorithms. Recent advances in cardiac electromechanical modeling and image synthesis p...
Young Adult Adult Male Image Processing, Computer-Assisted Magnetic Resonance Imaging, Cine Humans Algorithms Machine Learning Databases, Factual Female
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Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning.

IEEE transactions on medical imaging May 26, 2017
Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype cardiac indices with consistently reliable and high accuracy is still a great challenge due...
Machine Learning Image Interpretation, Computer-Assisted Regression Analysis Heart Function Tests Heart Humans Magnetic Resonance Imaging, Cine Neural Networks, Computer
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