Research graph
References from Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1086/421946
10.1086/421946 · External reference
Presentation of the PATH Alliance® registry for prospective data collection and analysis of the epidemiology, therapy, and outcomes of invasive fungal infections
10.1016/j.diagmicrobio.2007.06.008 · 2007 · External reference
Nosocomial fungal infections: epidemiology, diagnosis, treatment and prevention
2018 · External reference
A virtual infection model quantifies innate effector mechanisms and Candida albicans immune escape in human blood
10.1371/journal.pcbi.1003479 · 2014 · External reference
Transcriptome analysis of Neisseria meningitidis in human whole blood and mutagenesis studies identify virulence factors involved in blood survival
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Failure to control growth of mycobacteria in blood from children infected with human immunodeficiency virus and its relationship to T cell function
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10.1128/cvi.00007-09
10.1128/cvi.00007-09 · External reference
Inhibition of C5a-induced inflammation with preserved C5b-9-mediated bactericidal activity in a human whole blood model of meningococcal sepsis
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Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions
10.3389/fmicb.2015.00608 · 2015 · External reference
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10.1111/cmi.12443 · External reference
Migration and interaction tracking for quantitative analysis of phagocyte–pathogen confrontation assays
10.1016/j.media.2016.11.007 · 2017 · External reference
Comparative assessment of immune evasion mechanisms in human whole-blood infection assays by a systems biology approach
10.1371/journal.pone.0249372 · 2021 · External reference
Ex vivo immune profiling in patient blood enables quantification of innate immune effector functions
10.1038/s41598-021-91362-5 · 2021 · External reference
10.1016/j.csbj.2022.05.007 · Admitted local publication
Image-based systems biology of infection
10.1002/cyto.a.22638 · 2015 · External reference
Quantitative simulations predict treatment strategies against fungal infections in virtual neutropenic patients
10.3389/fimmu.2018.00667 · 2018 · External reference
Degranulation, membrane addition, and shape change during chemotactic factor-induced aggregation of human neutrophils
10.1083/jcb.95.1.234 · 1982 · External reference
Topographical interrogation of the living cell surface reveals its role in rapid cell shape changes during phagocytosis and spreading
2017 · External reference
Growth strain-induced wrinkled membrane morphology of white blood cells
10.1039/c1sm06637d · 2011 · External reference
10.4049/jimmunol.1801071
10.4049/jimmunol.1801071 · External reference
Automated tracking of label-free cells with enhanced recognition of whole tracks
10.1038/s41598-019-39725-x · 2019 · External reference
Enhanced segmentation of label-free cells for automated migration and interaction tracking
10.1002/cyto.a.24466 · 2021 · External reference
Biomedical image classification in a big data architecture using machine learning algorithms
10.1155/2021/9998819 · 2021 · External reference
Convolutional neural networks improve fungal classification
10.1038/s41598-020-69245-y · 2020 · External reference
Deep learning approach to describe and classify fungi microscopic images
2020 · External reference
An overview of supervised machine learning methods and data analysis for COVID-19 detection
10.1155/2021/4733167 · 2021 · External reference
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Object detection with deep learning: a review
2019 · External reference
Long short-term memory
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10.1007/978-0-387-84858-7 · 2009 · External reference
10.1109/iccv.2017.74
10.1109/iccv.2017.74 · External reference
10.1016/j.inffus.2019.12.012
10.1016/j.inffus.2019.12.012 · External reference
Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms
10.1007/bf03178082 · 1998 · External reference
10.1186/s40537-014-0007-7 · 2015 · Admitted local publication
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10.1007/s11263-015-0816-y
10.1007/s11263-015-0816-y · External reference
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10.1038/s41586-020-2649-2
10.1038/s41586-020-2649-2 · External reference
Learning internal representations by error propagation
2013 · External reference
Cognitron: a self-organizing multilayered neural network
10.1007/bf00342633 · 1975 · External reference
Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition
10.1007/978-3-642-76153-9_28 · 1990 · External reference
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Deep residual learning for image recognition: a survey
10.3390/app12188972 · 2022 · External reference
10.1109/cvpr.2016.308
10.1109/cvpr.2016.308 · External reference
10.1109/cvpr.2017.195
10.1109/cvpr.2017.195 · External reference
A state-of-the-art survey on deep learning theory and architectures
10.3390/electronics8030292 · 2019 · External reference
10.1007/3-540-45014-9_1
10.1007/3-540-45014-9_1 · External reference
Ensemble learning: a survey
2018 · External reference
Ensemble deep learning: a review
10.1016/j.engappai.2022.105151 · 2022 · External reference
10.1007/s10462-021-09975-1
10.1007/s10462-021-09975-1 · External reference
ImageNet classification with deep convolutional neural networks
2012 · External reference
