AIMC Topic:
Image Interpretation, Computer-Assisted

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Autofocusing and Polar Body Detection in Automated Cell Manipulation.

IEEE transactions on bio-medical engineering Jul 13, 2016
Autofocusing and feature detection are two essential processes for performing automated biological cell manipulation tasks. In this paper, we have introduced a technique capable of focusing on a holding pipette and a mammalian cell under a bright-fie...
Cell Separation Cell Tracking Micromanipulation Polar Bodies Cells, Cultured Reproducibility of Results Sensitivity and Specificity Animals Mice Robotics Image Interpretation, Computer-Assisted Image Enhancement
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Radiation Dose Estimation by Automated Cytogenetic Biodosimetry.

Radiation protection dosimetry Jul 13, 2016
The dose from ionizing radiation exposure can be interpolated from a calibration curve fit to the frequency of dicentric chromosomes (DCs) at multiple doses. As DC counts are manually determined, there is an acute need for accurate, fully automated b...
Humans Software User-Computer Interface Robotics Equipment Design Flow Cytometry Biological Assay Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiation Dosage Specimen Handling Equipment Failure Analysis Chromosome Aberrations Radiometry
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Machine learning based methodology to identify cell shape phenotypes associated with microenvironmental cues.

Biomaterials Jun 25, 2016
Cell morphology has been identified as a potential indicator of stem cell response to biomaterials. However, determination of cell shape phenotype in biomaterials is complicated by heterogeneous cell populations, microenvironment heterogeneity, and m...
Humans Machine Learning Image Interpretation, Computer-Assisted Cells, Cultured Pattern Recognition, Automated Phenotype Cell Size Mesenchymal Stem Cells Mechanotransduction, Cellular Microscopy Cellular Microenvironment
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A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging.

Neuroscience Jun 22, 2016
Mild cognitive impairment (MCI) represents a transitional state between normal aging and Alzheimer's disease (AD). Non-invasive diagnostic methods are desirable to identify MCI for early therapeutic interventions. In this study, we proposed a support...
Magnetic Resonance Imaging Area Under Curve Image Interpretation, Computer-Assisted Mental Status Schedule Male Humans Middle Aged Cognitive Dysfunction Brain ROC Curve Female Support Vector Machine Aged
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Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.

NeuroImage Jun 10, 2016
Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by deterioration of a neurotransmitter, known as dopamine. Lack of this chemical messenger impairs several brain regions and yields various motor and non-motor symptoms. In...
Sensitivity and Specificity Male Middle Aged Imaging, Three-Dimensional Parkinson Disease Unsupervised Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Humans Algorithms Brain Female
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Adaptive Shape Kernel-Based Mean Shift Tracker in Robot Vision System.

Computational intelligence and neuroscience Jun 9, 2016
This paper proposes an adaptive shape kernel-based mean shift tracker using a single static camera for the robot vision system. The question that we address in this paper is how to construct such a kernel shape that is adaptive to the object shape. W...
Sensitivity and Specificity Humans Pattern Recognition, Automated Artificial Intelligence Locomotion Robotics Algorithms Subtraction Technique Video Recording Reproducibility of Results Image Interpretation, Computer-Assisted
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Development of a control algorithm for the ultrasound scanning robot (NCCUSR) using ultrasound image and force feedback.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 8, 2016
BACKGROUND: Clinicians who frequently perform ultrasound scanning procedures often suffer from musculoskeletal disorders, arthritis, and myalgias. To minimize their occurrence and to assist clinicians, ultrasound scanning robots have been developed w...
Algorithms Reproducibility of Results Sensitivity and Specificity Feedback Ultrasonography Humans Micromanipulation Phantoms, Imaging Equipment Failure Analysis Systems Integration Touch Transducers Robotics Equipment Design Image Interpretation, Computer-Assisted Stress, Mechanical
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Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations.

IEEE/ACM transactions on computational biology and bioinformatics Jun 7, 2016
The problem of constructing classifiers from multiple annotators who provide inconsistent training labels is important and occurs in many application domains. Many existing methods focus on the understanding and learning of the crowd behaviors. Sever...
Breast Neoplasms Models, Theoretical Support Vector Machine Alzheimer Disease Image Interpretation, Computer-Assisted Humans Artificial Intelligence Databases, Factual Female Medical Informatics Facial Expression Data Curation
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Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.

The international journal of cardiovascular imaging Jun 2, 2016
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's...
Image Interpretation, Computer-Assisted Observer Variation Transposition of Great Vessels Magnetic Resonance Imaging, Cine Arterial Switch Operation Hypertrophy, Right Ventricular Feasibility Studies Ventricular Function, Right Ventricular Dysfunction, Right Heart Ventricles Female Knowledge Bases Reproducibility of Results Ontario Humans Male Retrospective Studies Treatment Outcome Adolescent Predictive Value of Tests Time Factors Anatomic Landmarks
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Improved spatial accuracy of functional maps in the rat olfactory bulb using supervised machine learning approach.

NeuroImage May 25, 2016
Functional MRI (fMRI) is a popular and important tool for noninvasive mapping of neural activity. As fMRI measures the hemodynamic response, the resulting activation maps do not perfectly reflect the underlying neural activity. The purpose of this wo...
Supervised Machine Learning Image Interpretation, Computer-Assisted Olfactory Bulb Reproducibility of Results Pattern Recognition, Automated Algorithms Electric Stimulation Rats Sensitivity and Specificity Smell Magnetic Resonance Imaging Image Enhancement Rats, Sprague-Dawley Animals Brain Mapping Male Spatio-Temporal Analysis
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