AIMC Journal:
Medical image analysis
Showing 661 to 670 of 699 articles
Characterization of myocardial motion patterns by unsupervised multiple kernel learning.
Medical image analysis
Jun 11, 2016
We propose an independent objective method to characterize different patterns of functional responses to stress in the heart failure with preserved ejection fraction (HFPEF) syndrome by combining multiple temporally-aligned myocardial velocity traces...
Metric hashing forests.
Medical image analysis
Jun 3, 2016
In this paper, we propose metric Hashing Forests (mHF) which is a supervised variant of random forests tailored for the task of nearest neighbor retrieval through hashing. This is achieved by training independent hashing trees that parse and encode t...
Combining deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance.
Medical image analysis
May 26, 2016
We introduce a new methodology that combines deep learning and level set for the automated segmentation of the left ventricle of the heart from cardiac cine magnetic resonance (MR) data. This combination is relevant for segmentation problems, where t...
Brain tumor segmentation with Deep Neural Networks.
Medical image analysis
May 19, 2016
In this paper, we present a fully automatic brain tumor segmentation method based on Deep Neural Networks (DNNs). The proposed networks are tailored to glioblastomas (both low and high grade) pictured in MR images. By their very nature, these tumors ...
Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process.
Medical image analysis
May 14, 2016
The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless capsule endoscopy (WCE). Both of these techniques produce a large number of images in each diagnosis. The lesion detection done by hand from the images above...
A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum.
Medical image analysis
May 3, 2016
In this paper, we extend the one-class Support Vector Machine (SVM) and the regularized discriminative direction analysis to the Multiple Kernel (MK) framework, providing an effective analysis pipeline for the detection and characterization of brain ...
Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks.
Medical image analysis
Apr 21, 2016
The amount of coronary artery calcification (CAC) is a strong and independent predictor of cardiovascular events. CAC is clinically quantified in cardiac calcium scoring CT (CSCT), but it has been shown that cardiac CT angiography (CCTA) may also be ...
A self-taught artificial agent for multi-physics computational model personalization.
Medical image analysis
Apr 21, 2016
Personalization is the process of fitting a model to patient data, a critical step towards application of multi-physics computational models in clinical practice. Designing robust personalization algorithms is often a tedious, time-consuming, model- ...
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization.
Medical image analysis
Mar 17, 2016
In this paper, we propose a supervised domain adaptation (DA) framework for adapting decision forests in the presence of distribution shift between training (source) and testing (target) domains, given few labeled examples. We introduce a novel metho...
A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.
Medical image analysis
Feb 6, 2016
Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction. In this work, we employ deep learning algorithms...
Heart Ventricles
Computer Simulation
Subtraction Technique
Pattern Recognition, Automated
Humans
Ventricular Dysfunction, Left
Image Enhancement
Magnetic Resonance Imaging, Cine
Reproducibility of Results
Image Interpretation, Computer-Assisted
Models, Cardiovascular
Machine Learning
Sensitivity and Specificity
Algorithms
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30540
- Neural Networks, Computer 29462
- Algorithms 26500
- Deep Learning 25982
- Artificial Intelligence 24008
- Robotics 13278
- Image Processing, Computer-Assisted 9374
- Retrospective Studies 8929
- Magnetic Resonance Imaging 6071
- Reproducibility of Results 5535
- Tomography, X-Ray Computed 4676
- Support Vector Machine 4639
- Computational Biology 4186
- Brain 3988
- Computer Simulation 3855
Popular Journals
- Scientific reports 5345
- Sensors (Basel, Switzerland) 4794
- PloS one 3935
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1822
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1116
- Journal of chemical information and modeling 958
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 817