AIMC Journal:
Medical image analysis

Showing 471 to 480 of 686 articles

An improved deep network for tissue microstructure estimation with uncertainty quantification.

Medical image analysis Jan 22, 2020
Deep learning based methods have improved the estimation of tissue microstructure from diffusion magnetic resonance imaging (dMRI) scans acquired with a reduced number of diffusion gradients. These methods learn the mapping from diffusion signals in ...
Image Enhancement White Matter Connectome Humans Deep Learning Uncertainty Diffusion Magnetic Resonance Imaging
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Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.

Medical image analysis Jan 17, 2020
Detection of early stages of Alzheimer's disease (AD) (i.e., mild cognitive impairment (MCI)) is important to maximize the chances to delay or prevent progression to AD. Brain connectivity networks inferred from medical imaging data have been commonl...
Humans Early Diagnosis Neuroimaging Calibration Machine Learning Alzheimer Disease
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Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography.

Medical image analysis Jan 13, 2020
We proposed a novel efficient method for 3D left ventricle (LV) segmentation on echocardiography, which is important for cardiac disease diagnosis. The proposed method effectively overcame the 3D echocardiography's challenges: high dimensional data, ...
Deep Learning Imaging, Three-Dimensional Heart Ventricles Humans Echocardiography
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Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networks.

Medical image analysis Jan 11, 2020
The parcellation of the human cortex into meaningful anatomical units is a common step of various neuroimaging studies. There have been multiple successful efforts to process magnetic resonance (MR) brain images automatically and identify specific an...
Humans Neural Networks, Computer Magnetic Resonance Imaging Brain Mapping Image Processing, Computer-Assisted
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Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering.

Medical image analysis Jan 11, 2020
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angiograms in which coronary arteries are opacified with X-ray opaque contrast agents. Interventional cardiologists typically navigate instruments using n...
Respiratory-Gated Imaging Techniques Radiography, Interventional Respiratory Mechanics Radiographic Image Interpretation, Computer-Assisted Humans Deep Learning Motion Fluoroscopy Percutaneous Coronary Intervention Bayes Theorem Pattern Recognition, Automated
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Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.

Medical image analysis Jan 11, 2020
Cardiac magnetic resonance imaging (MRI) provides a wealth of imaging biomarkers for cardiovascular disease care and segmentation of cardiac structures is required as a first step in enumerating these biomarkers. Deep convolutional neural networks (C...
Magnetic Resonance Imaging Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Datasets as Topic Reproducibility of Results Cardiovascular Diseases
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Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis.

Medical image analysis Jan 8, 2020
Neurodegenerative diseases are excessively affecting millions of patients, especially elderly people. Early detection and management of these diseases are crucial as the clinical symptoms take years to appear after the onset of neuro-degeneration. Th...
Early Diagnosis Neuroimaging Image Interpretation, Computer-Assisted Datasets as Topic Humans Machine Learning Neurodegenerative Diseases Alzheimer Disease Parkinson Disease
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Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images.

Medical image analysis Dec 23, 2019
The tracking of the knee femoral condyle cartilage during ultrasound-guided minimally invasive procedures is important to avoid damaging this structure during such interventions. In this study, we propose a new deep learning method to track, accurate...
Deep Learning Female Cartilage, Articular Ultrasonography, Interventional Male Imaging, Three-Dimensional Knee Joint Healthy Volunteers Humans Image Processing, Computer-Assisted Arthroscopy Neural Networks, Computer
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Conflict management in the fusion of complementary segmentations of deformed kidneys and nephroblastoma.

Medical image analysis Dec 18, 2019
The fusion of multiple segmentations aims to improve their accuracy in order to make them exploitable. However, conflicts may appear. In this paper, two conflict-management models are proposed for the fusion of complementary segmentations. This confl...
Wilms Tumor Humans Deep Learning Image Processing, Computer-Assisted Child Datasets as Topic Imaging, Three-Dimensional Kidney Neoplasms
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Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping.

Medical image analysis Dec 12, 2019
A number of studies on lung nodule classification lack clinical/biological interpretations of the features extracted by convolutional neural network (CNN). The methods like class activation mapping (CAM) and gradient-based CAM (Grad-CAM) are tailored...
Sensitivity and Specificity Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Neural Networks, Computer Tomography, X-Ray Computed Humans
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