AIMC Topic: Data Interpretation, Statistical

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Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.

Medical image analysis Jul 7, 2015
Many automatic segmentation methods are based on supervised machine learning. Such methods have proven to perform well, on the condition that they are trained on a sufficiently large manually labeled training set that is representative of the images ...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Subtraction Technique Statistical Distributions Diffusion Magnetic Resonance Imaging Reproducibility of Results Humans Sensitivity and Specificity Algorithms Data Interpretation, Statistical Brain Supervised Machine Learning
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Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity--A multi-center study.

Progress in neuro-psychopharmacology & biological psychiatry Jul 4, 2015
BACKGROUND: Resting-state functional magnetic resonance imaging studies examining low frequency fluctuations (0.01-0.08 Hz) have revealed atypical whole brain functional connectivity patterns in adolescents with autism spectrum disorder (ASD), and th...
Male Severity of Illness Index Adolescent Child Rest Autism Spectrum Disorder Multivariate Analysis Brain Neural Pathways Female Humans Head Movements Databases, Factual Support Vector Machine Magnetic Resonance Imaging Brain Mapping Data Interpretation, Statistical
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LogDet Rank Minimization with Application to Subspace Clustering.

Computational intelligence and neuroscience Jul 2, 2015
Low-rank matrix is desired in many machine learning and computer vision problems. Most of the recent studies use the nuclear norm as a convex surrogate of the rank operator. However, all singular values are simply added together by the nuclear norm, ...
Machine Learning Data Interpretation, Statistical Algorithms Cluster Analysis Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Journal of biomedical informatics Jun 26, 2015
De-identification, identifying and removing all protected health information (PHI) present in clinical data including electronic medical records (EMRs), is a critical step in making clinical data publicly available. The 2014 i2b2 (Center of Informati...
Electronic Health Records China Cohort Studies Data Mining Pattern Recognition, Automated Computer Security Vocabulary, Controlled Narration Natural Language Processing Data Interpretation, Statistical Confidentiality
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A Markov random field approach to group-wise registration/mosaicing with application to ultrasound.

Medical image analysis Jun 3, 2015
In this paper we present a group-wise non-rigid registration/mosaicing algorithm based on block-matching, which is developed within a probabilistic framework. The discrete form of its energy functional is linked to a Markov Random Field (MRF) contain...
Subtraction Technique Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Female Reproducibility of Results Sensitivity and Specificity Ultrasonography Imaging, Three-Dimensional Models, Statistical Data Interpretation, Statistical Markov Chains Machine Learning Algorithms Computer Simulation Pregnancy Humans
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Toward Synthesizing Our Knowledge of Morphology: Using Ontologies and Machine Reasoning to Extract Presence/Absence Evolutionary Phenotypes across Studies.

Systematic biology May 26, 2015
The reality of larger and larger molecular databases and the need to integrate data scalably have presented a major challenge for the use of phenotypic data. Morphology is currently primarily described in discrete publications, entrenched in noncompu...
Biological Evolution Amphibians Phenotype Computational Biology Animals Data Interpretation, Statistical Biological Ontologies Classification
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Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.

Neural networks : the official journal of the International Neural Network Society May 21, 2015
Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explicit hypotheses made to simplify the analysis. In this work the attention is focused on two such commonly accepted hypotheses: (i) the hemodynamic respon...
Humans Neural Networks, Computer Machine Learning Algorithms Computer Simulation Markov Chains Datasets as Topic Magnetic Resonance Imaging Reproducibility of Results Models, Statistical Hemodynamics Data Interpretation, Statistical Image Processing, Computer-Assisted Oxygen
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A global optimization approach to multi-polarity sentiment analysis.

PloS one Apr 24, 2015
Following the rapid development of social media, sentiment analysis has become an important social media mining technique. The performance of automatic sentiment analysis primarily depends on feature selection and sentiment classification. While info...
Algorithms Support Vector Machine Social Media Humans Data Interpretation, Statistical Data Mining Information Theory
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A general proof of consistency of heuristic classification for cognitive diagnosis models.

The British journal of mathematical and statistical psychology Apr 15, 2015
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633-665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is g...
Psychometrics Humans Algorithms Educational Measurement Data Interpretation, Statistical Computer Simulation Cognition Heuristics Reproducibility of Results Models, Statistical Computer Heuristics Sensitivity and Specificity
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Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

Medical image analysis Feb 23, 2015
We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (SA) system, and a hybrid system. Like most traditional systems, the new FA system requires only a sin...
Reproducibility of Results Sensitivity and Specificity Lung Neoplasms Solitary Pulmonary Nodule Algorithms Humans Databases, Factual Regression Analysis Neural Networks, Computer Tomography, X-Ray Computed Data Interpretation, Statistical Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Radiography, Thoracic Radiographic Image Enhancement
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