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Results: 22
The immunological response to traumatic brain injury.
Traumatic brain injury (TBI) is the leading cause of death and disability in young adults in the developed world. The accuracy of early outcome-prediction remains poor even when all known prognostic factors are considered...
Adaptive immune system Autoimmunity innate immune system Neuroinflammation Traumatic brain injury Adaptive Immunity Alarmins Animals Astrocytes Autoantibodies Autoimmune Diseases of the Nervous System Brain Damage Chronic Brain Injuries Traumatic Cytokines Humans Immunity Innate immunomodulation Lymphocyte Subsets Mice Mice Knockout Microglia Neurodegenerative Diseases Neutrophils pattern recognition Automated Rats Time Factors
Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model.
Thomas H Sanford, Ling Zhang, Stephanie A Harmon, Jonathan Sackett, Dong Yang, Holger Roth, Ziyue Xu, Deepak Kesani, Sherif Mehralivand, Ronaldo H Baroni, Tristan Barrett, Rossano Girometti, Aytekin Oto, Andrei S Purysko, Sheng Xu, Peter A Pinto, Daguang Xu, Bradford J Wood, Peter L Choyke, Baris Turkbey
Oct 22, 2020
OBJECTIVE. Deep learning applications in radiology often suffer from overfitting, limiting generalization to external centers. The objective of this study was to develop a high-quality prostate segmentation model capable of...
Inferring exemplar discriminability in brain representations.
Representational distinctions within categories are important in all perceptual modalities and also in cognitive and motor representations. Recent pattern-information studies of brain activity have used condition-rich designs to...
Linear latent force models using Gaussian processes.
Purely data-driven approaches for machine learning present difficulties when data are scarce relative to the complexity of the model or when the model is forced to extrapolate. On the other hand, purely mechanistic approaches...
Semiautomated text analytics for qualitative data synthesis.
Emily Haynes, Ruth Garside, Judith Green, Michael P Kelly, James Thomas, Cornelia Guell
May 24, 2019
Data pooling Machine Learning qualitative data synthesis secondary analysis Social practice Text analytics text mining Algorithms Data Accuracy Data Mining Data Science Databases Factual Female Humans Machine Learning Male Normal Distribution pattern recognition Automated qualitative research Software United Kingdom
Entity recognition in the biomedical domain using a hybrid approach.
BACKGROUND: This article describes a high-recall, high-precision approach for the extraction of biomedical entities from scientific articles. METHOD: The approach uses a two-stage pipeline, combining a dictionary-based entity...
Prospective motion correction improves the sensitivity of fMRI pattern decoding.
Pei Huang, Johan D Carlin, Arjen Alink, Nikolaus Kriegeskorte, Richard N Henson, Marta M Correia
Oct 10, 2018
fMRI analysis linear discriminant contrast pattern decoding prospective motion correction Adult Artifacts Functional Neuroimaging Head Movements Humans Image Processing Computer-Assisted Magnetic Resonance Imaging pattern recognition Automated pattern recognition Visual Sensitivity and Specificity Support Vector Machine Visual Cortex
Spatial-temporal modelling of fMRI data through spatially regularized mixture of hidden process models.
Previous work investigated a range of spatio-temporal constraints for fMRI data analysis to provide robust detection of neural activation. We present a mixture-based method for the spatio-temporal modelling of fMRI data. This...
Massively parallel C. elegans tracking provides multi-dimensional fingerprints for phenotypic discovery.
Michele Perni, Pavan K Challa, Julius B Kirkegaard, Ryan Limbocker, Mandy Koopman, Maarten C Hardenberg, Pietro Sormanni, Thomas Müller, Kadi L Saar, Lianne WY Roode, Johnny Habchi, Giulia Vecchi, Nilumi Fernando, Samuel Casford, Ellen AA Nollen, Michele Vendruscolo, Christopher M Dobson, Tuomas PJ Knowles
Jul 27, 2018
BACKGROUND: The nematode worm C. elegans is a model organism widely used for studies of genetics and of human disease. The health and fitness of the worms can be quantified in different ways, such as by measuring their bending...
Alzheimer’s disease Automation Drug Discovery neuroscience Parkinson’s disease Animals Behavior Animal Caenorhabditis elegans Data Interpretation Statistical Disease Models Animal Drug Evaluation Preclinical Machine Learning Neurodegenerative Diseases Optical Imaging pattern recognition Automated Phenotype Reproducibility of Results Software
MR fingerprinting with simultaneous B1 estimation.
Construction, visualisation, and clustering of transcription networks from microarray expression data.
Tom C Freeman, Leon Goldovsky, Markus Brosch, Stijn van Dongen, Pierre Mazière, Russell J Grocock, Shiri Freilich, Janet Thornton, Anton J Enright
Jan 22, 2018
Network analysis transcends conventional pairwise approaches to data analysis as the context of components in a network graph can be taken into account. Such approaches are increasingly being applied to genomics data, where...
Pinpointing needles in giant haystacks
Ian Shemilt, Antonia Simon, Gareth J Hollands, Theresa M Marteau, David Ogilvie, Alison O'Mara-Eves, Michael P Kelly, James Thomas
May 09, 2018
In scoping reviews, boundaries of relevant evidence may be initially fuzzy, with refined conceptual understanding of interventions and their proposed mechanisms of action an intended output of the scoping process rather than its...
ChemDataExtractor
The emergence of "big data" initiatives has led to the need for tools that can automatically extract valuable chemical information from large volumes of unstructured data, such as the scientific literature. Since chemical...
Automated identification of Monogeneans using digital image processing and K-nearest neighbour approaches.
BACKGROUND: Monogeneans are flatworms (Platyhelminthes) that are primarily found on gills and skin of fishes. Monogenean parasites have attachment appendages at their haptoral regions that help them to move about the body...
Multicomponent signal unmixing from nanoheterostructures
David Rossouw, Pierre Burdet, Francisco de la Peña, Caterina Ducati, Benjamin R Knappett, Andrew EH Wheatley, Paul A Midgley
May 29, 2015
Magnetic resonance fingerprinting of the pancreas at 1.5 T and 3.0 T.
Eva M Serrao, Dimitri A Kessler, Bruno Carmo, Lucian Beer, Kevin M Brindle, Guido Buonincontri, Ferdia A Gallagher, Fiona J Gilbert, Edmund Godfrey, Martin J Graves, Mary A McLean, Evis Sala, Rolf F Schulte, Joshua D Kaggie
Oct 01, 2020
Relationship Between Cortical Gyrification, White Matter Connectivity, and Autism Spectrum Disorder.
C Ecker, D Andrews, F Dell'Acqua, E Daly, C Murphy, M Catani, M Thiebaut de Schotten, S Baron-Cohen, MC Lai, MV Lombardo, ET Bullmore, J Suckling, S Williams, DK Jones, A Chiocchetti, MRC AIMS Consortium, DGM Murphy
Aug 09, 2017
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition, which is accompanied by differences in gray matter neuroanatomy and white matter connectivity. However, it is unknown whether these differences are linked...
Autism spectrum disorder brain anatomy brain connectivity brain development multimodal neuroimaging Adolescent Adult Autism spectrum disorder Cerebral Cortex Diffusion tensor imaging Gray Matter Humans Imaging Three-Dimensional Intelligence Magnetic Resonance Imaging Male Neural Pathways Organ Size pattern recognition Automated white matter Young Adult
Validation of a semi-automatic co-registration of MRI scans in patients with brain tumors during treatment follow-up.
Anouk van der Hoorn, Jiun-Lin Yan, Timothy J Larkin, Natalie R Boonzaier, Tomasz Matys, Stephen J Price
Apr 01, 2016
MRI brain tumors high-grade gliomas linear co-registration non-linear co-registration structural similarity treatment response validation Adult Aged Algorithms Brain Neoplasms Female Follow-Up Studies Glioblastoma Humans Image Enhancement Image Interpretation Computer-Assisted Longitudinal Studies Magnetic Resonance Imaging Male Middle Aged pattern recognition Automated Sensitivity and Specificity Subtraction Technique Treatment Outcome