AIMC Topic: Datasets as Topic

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Convolutional Neural Networks with Template-Based Data Augmentation for Functional Lung Image Quantification.

Academic radiology Sep 6, 2018
RATIONALE AND OBJECTIVES: We propose an automated segmentation pipeline based on deep learning for proton lung MRI segmentation and ventilation-based quantification which improves on our previously reported methodologies in terms of computational eff...
Humans Computer Simulation Datasets as Topic Pulmonary Ventilation Protons Lung Deep Learning Magnetic Resonance Imaging
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A hierarchical multimodal system for motion analysis in patients with epilepsy.

Epilepsy & behavior : E&B Aug 31, 2018
During seizures, a myriad of clinical manifestations may occur. The analysis of these signs, known as seizure semiology, gives clues to the underlying cerebral networks involved. When patients with drug-resistant epilepsy are monitored to assess thei...
Movement Humans Epilepsy Datasets as Topic Neurophysiological Monitoring Seizures Biomechanical Phenomena Face Automatism Hand Deep Learning Epilepsy, Temporal Lobe
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As Ontologies Reach Maturity, Artificial Intelligence Starts Being Fully Efficient: Findings from the Section on Knowledge Representation and Management for the Yearbook 2018.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  To select, present, and summarize the best papers published in 2017 in the field of Knowledge Representation and Management (KRM).
Datasets as Topic Biological Ontologies Gene Ontology Humans Artificial Intelligence Genetic Association Studies
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Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.

NeuroImage Aug 18, 2018
A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of Alzheimer's disease (AD). However, while the vast majority of these works use the public dataset ADNI for evaluation, they ...
Middle Aged Neuroimaging Image Processing, Computer-Assisted Positron-Emission Tomography Humans Atlases as Topic Datasets as Topic Aged Machine Learning Data Interpretation, Statistical Female Radiopharmaceuticals Alzheimer Disease Magnetic Resonance Imaging Aged, 80 and over Male Fluorodeoxyglucose F18
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An Associative Memory Approach to Healthcare Monitoring and Decision Making.

Sensors (Basel, Switzerland) Aug 16, 2018
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of sensors and communication technology, have changed healthcare in all its areas, creating the well-known healthcare paradigm of e-Health. In this paper, ...
Machine Learning Coronary Artery Disease Algorithms Datasets as Topic Clinical Decision-Making Humans Biometry Female Sensitivity and Specificity Male
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Gene Ontology Enrichment Improves Performances of Functional Similarity of Genes.

Scientific reports Aug 14, 2018
There exists a plethora of measures to evaluate functional similarity (FS) between genes, which is a widely used in many bioinformatics applications including detecting molecular pathways, identifying co-expressed genes, predicting protein-protein in...
Semantics Base Sequence Molecular Sequence Annotation Gene Ontology Protein Interaction Mapping Gene Expression Profiling Computational Biology Datasets as Topic
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KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.

Journal of proteome research Aug 13, 2018
Cell-penetrating peptides (CPPs) facilitate the transport of pharmacologically active molecules, such as plasmid DNA, short interfering RNA, nanoparticles, and small peptides. The accurate identification of new and unique CPPs is the initial step to ...
Eukaryotic Cells Cell Membrane Permeability Cell-Penetrating Peptides Sequence Analysis, Protein Models, Statistical Machine Learning Amino Acids Humans Benchmarking Software Internet Neural Networks, Computer Amino Acid Sequence Animals Datasets as Topic
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Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles.

Clinical chemistry Aug 10, 2018
BACKGROUND: Urine steroid profiles are used in clinical practice for the diagnosis and monitoring of disorders of steroidogenesis and adrenal pathologies. Machine learning (ML) algorithms are powerful computational tools used extensively for the reco...
Decision Support Systems, Clinical Predictive Value of Tests Datasets as Topic Machine Learning Algorithms Steroids Clinical Chemistry Tests Adrenal Gland Diseases Humans
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Attributes' Importance for Zero-Shot Pose-Classification Based on Wearable Sensors.

Sensors (Basel, Switzerland) Aug 1, 2018
This paper presents a simple yet effective method for improving the performance of zero-shot learning (ZSL). ZSL classifies instances of unseen classes, from which no training data is available, by utilizing the attributes of the classes. Conventiona...
Machine Learning Wearable Electronic Devices Posture Humans Datasets as Topic
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Chemical-induced disease extraction via recurrent piecewise convolutional neural networks.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Extracting relationships between chemicals and diseases from unstructured literature have attracted plenty of attention since the relationships are very useful for a large number of biomedical applications such as drug repositioning and p...
Neural Networks, Computer Datasets as Topic Algorithms Information Storage and Retrieval Deep Learning Chemically-Induced Disorders
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