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DeepImageJ: A user-friendly environment to run deep learning models in ImageJ

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-00934-2_30openalex-snapshot

Cell Detection with Star-Convex Polygons

inferredcites →https://doi.org/10.1007/978-3-030-76394-7_4openalex-snapshot

Building a Bioimage Analysis Workflow Using Deep Learning

inferredcites →https://doi.org/10.1016/j.compbiomed.2019.03.026openalex-snapshot

DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification

inferredcites →https://doi.org/10.1016/j.csbj.2020.08.003openalex-snapshot

A bird’s-eye view of deep learning in bioimage analysis

inferredcites →https://doi.org/10.1016/j.softx.2019.02.007openalex-snapshot

Usiigaci: Instance-aware cell tracking in stain-free phase contrast microscopy enabled by machine learning

inferredcites →https://doi.org/10.1017/s1431927620021881openalex-snapshot

Cryo-electron Tomography Workflows for Quantitative Analysis of Actin Networks Involved in Cell Migration

inferredcites →https://doi.org/10.1038/nmeth.2019openalex-snapshot

Fiji: an open-source platform for biological-image analysis

inferredcites →https://doi.org/10.1038/nmeth.2089openalex-snapshot

NIH Image to ImageJ: 25 years of image analysis

inferredcites →https://doi.org/10.1038/nmeth.4473openalex-snapshot

An objective comparison of cell-tracking algorithms

inferredcites →https://doi.org/10.1038/s41467-021-22518-0openalex-snapshot

Democratising deep learning for microscopy with ZeroCostDL4Mic

inferredcites →https://doi.org/10.1038/s41551-019-0362-yopenalex-snapshot

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning

inferredcites →https://doi.org/10.1038/s41592-018-0216-7openalex-snapshot

Content-aware image restoration: pushing the limits of fluorescence microscopy

inferredcites →https://doi.org/10.1038/s41592-018-0261-2openalex-snapshot

U-Net: deep learning for cell counting, detection, and morphometry

inferredcites →https://doi.org/10.1038/s41592-019-0403-1openalex-snapshot

Deep learning for cellular image analysis

inferredcites →https://doi.org/10.1038/s41592-019-0582-9openalex-snapshot

ilastik: interactive machine learning for (bio)image analysis

inferredcites →https://doi.org/10.1038/s41592-019-0612-7openalex-snapshot

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

inferredcites →https://doi.org/10.1038/s41592-019-0627-0openalex-snapshot

ImJoy: an open-source computational platform for the deep learning era

inferredcites →https://doi.org/10.1038/s41592-019-0670-xopenalex-snapshot

Deep learning gets scope time

inferredcites →https://doi.org/10.1038/s41598-019-49431-3openalex-snapshot

Deep-Learning-Based Segmentation of Small Extracellular Vesicles in Transmission Electron Microscopy Images

inferredcites →https://doi.org/10.1063/5.0034891openalex-snapshot

Quantitative digital microscopy with deep learning

inferredcites →https://doi.org/10.1091/mbc.e20-10-0660openalex-snapshot

Open-source deep-learning software for bioimage segmentation

inferredcites →https://doi.org/10.1093/bioinformatics/btu080openalex-snapshot

A benchmark for comparison of cell tracking algorithms

inferredcites →https://doi.org/10.1186/s12859-017-1934-zopenalex-snapshot

ImageJ2: ImageJ for the next generation of scientific image data

inferredcites →https://doi.org/10.1364/optica.5.000458openalex-snapshot

Deep-STORM: super-resolution single-molecule microscopy by deep learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/advs.202003743openalex-snapshot

AIDeveloper: Deep Learning Image Classification in Life Science and Beyond

inferred← citeshttps://doi.org/10.1002/pro.3993openalex-snapshot

The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis

inferred← citeshttps://doi.org/10.1007/978-3-030-76394-7openalex-snapshot

Bioimage Data Analysis Workflows ‒ Advanced Components and Methods

inferred← citeshttps://doi.org/10.1007/978-3-030-76394-7_4openalex-snapshot

Building a Bioimage Analysis Workflow Using Deep Learning

inferred← citeshttps://doi.org/10.1016/j.bpj.2021.04.035openalex-snapshot

Imaging developmental cell cycles

inferred← citeshttps://doi.org/10.1016/j.crmeth.2021.100105openalex-snapshot

A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy

inferred← citeshttps://doi.org/10.1016/j.csbj.2021.08.033openalex-snapshot

HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.earscirev.2021.103828openalex-snapshot

Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions

inferred← citeshttps://doi.org/10.1016/j.slast.2021.10.015openalex-snapshot

Benchmarking feature selection methods for compressing image information in high-content screening

inferred← citeshttps://doi.org/10.1016/j.tcb.2021.12.004openalex-snapshot

Nucleus segmentation: towards automated solutions

inferred← citeshttps://doi.org/10.1038/s41467-021-22518-0openalex-snapshot

Democratising deep learning for microscopy with ZeroCostDL4Mic

inferred← citeshttps://doi.org/10.1038/s41592-020-01023-0openalex-snapshot

DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes

inferred← citeshttps://doi.org/10.1038/s42256-021-00379-yopenalex-snapshot

Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy

inferred← citeshttps://doi.org/10.1093/femsre/fuaa062openalex-snapshot

Advances and opportunities in image analysis of bacterial cells and communities

inferred← citeshttps://doi.org/10.1093/genetics/iyac068openalex-snapshot

Visualizing and quantifying molecular and cellular processes in Caenorhabditis elegans using light microscopy

inferred← citeshttps://doi.org/10.1093/jmicro/dfaa007openalex-snapshot

Generative and discriminative model-based approaches to microscopic image restoration and segmentation

inferred← citeshttps://doi.org/10.1098/rsob.220019openalex-snapshot

Live-cell microscopy or fluorescence anisotropy with budded baculoviruses—which way to go with measuring ligand binding to M 4 muscarinic receptors?

inferred← citeshttps://doi.org/10.1101/191858openalex-snapshot

MARS-Net: Deep learning-based segmentation pipeline for profiling cellular morphodynamics from multiple types of live cell microscopy

inferred← citeshttps://doi.org/10.1101/2020.03.20.000133openalex-snapshot

ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy

inferred← citeshttps://doi.org/10.1101/2020.07.15.204891openalex-snapshot

HistoFlow: Label-Efficient and Interactive Deep Learning Cell Analysis

inferred← citeshttps://doi.org/10.1101/505032openalex-snapshot

DeepCell Kiosk: Scaling deep learning-enabled cellular image analysis with Kubernetes

inferred← citeshttps://doi.org/10.1109/jtehm.2023.3262841openalex-snapshot

Fourier Channel Attention Powered Lightweight Network for Image Segmentation

inferred← citeshttps://doi.org/10.1111/gcbb.12886openalex-snapshot

Mobilizing sorghum genetic diversity: Biochemical and histological‐assisted design of a stem ideotype for biomethane production

inferred← citeshttps://doi.org/10.1242/dev.194589openalex-snapshot

EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning

inferred← citeshttps://doi.org/10.1242/dev.199616openalex-snapshot

Deep learning for bioimage analysis in developmental biology

inferred← citeshttps://doi.org/10.1242/jcs.259511openalex-snapshot

GIANI – open-source software for automated analysis of 3D microscopy images

inferred← citeshttps://doi.org/10.12688/f1000research.26872.1openalex-snapshot

Fiji plugins for qualitative image annotations: routine analysis and application to image classification

inferred← citeshttps://doi.org/10.12688/f1000research.50798.1openalex-snapshot

Interactive biomedical segmentation tool powered by deep learning and ImJoy

inferred← citeshttps://doi.org/10.1364/optica.448287openalex-snapshot

Real-time image denoising of mixed Poisson–Gaussian noise in fluorescence microscopy images using ImageJ

inferred← citeshttps://doi.org/10.1371/journal.pcbi.1008374openalex-snapshot

DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation

inferred← citeshttps://doi.org/10.1590/1809-4430-eng.agric.v41n2p161-170/2021openalex-snapshot

SELECTION OF EFFECTIVE SOFTWARE FOR THE ANALYSIS OF THE FRACTIONAL COMPOSITION OF THE CHAOTIC SEED LAYER USING THE EXAMPLE OF OILSEED RADISH

inferred← citeshttps://doi.org/10.70675/953b9f3bz386bz4bcazb277z36d2216d1c68openalex-snapshot

Etude de l’organisation spatiale et de l'hétérogénéité phénotypique d’Escherichia coli O157 : H7 et Listeria monocytogenes dans des matrices gélifiées modèles

inferred← citeshttps://doi.org/10.7287/peerj-cs.1364v0.1/reviews/1openalex-snapshot

Peer Review #1 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1364v0.1/reviews/2openalex-snapshot

Peer Review #2 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1364v0.2/reviews/1openalex-snapshot

Peer Review #1 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1364v0.2/reviews/2openalex-snapshot

Peer Review #2 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1364v0.3/reviews/2openalex-snapshot

Peer Review #2 of "A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations (v0.3)"

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