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DeepCell Kiosk: Scaling deep learning-enabled cellular image analysis with Kubernetes
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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/bfb0056181openalex-snapshot
Medical Image Computing and Computer-Assisted Intervention — MICCAI’98
inferredcites →https://doi.org/10.1016/j.cell.2018.07.016openalex-snapshot
Cooperative Metabolic Adaptations in the Host Can Favor Asymptomatic Infection and Select for Attenuated Virulence in an Enteric Pathogen
inferredcites →https://doi.org/10.1016/j.cell.2018.08.039openalex-snapshot
A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging
inferredcites →https://doi.org/10.1016/j.cell.2018.09.031openalex-snapshot
In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level
inferredcites →https://doi.org/10.1016/j.compbiomed.2019.04.006openalex-snapshot
Learn to segment single cells with deep distance estimator and deep cell detector
inferredcites →https://doi.org/10.1016/j.cub.2018.12.017openalex-snapshot
Reprogramming Cdr2-Dependent Geometry-Based Cell Size Control in Fission Yeast
inferredcites →https://doi.org/10.1016/j.media.2020.101720openalex-snapshot
DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images
inferredcites →https://doi.org/10.1016/j.neuron.2016.10.001openalex-snapshot
In Situ Transcription Profiling of Single Cells Reveals Spatial Organization of Cells in the Mouse Hippocampus
inferredcites →https://doi.org/10.1038/nmeth.2019openalex-snapshot
Fiji: an open-source platform for biological-image analysis
inferredcites →https://doi.org/10.1038/s41592-018-0106-zopenalex-snapshot
CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation
inferredcites →https://doi.org/10.1038/s41592-018-0111-2openalex-snapshot
Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
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/s41592-019-0658-6openalex-snapshot
Analysis of the Human Protein Atlas Image Classification competition
inferredcites →https://doi.org/10.1073/pnas.1713895115openalex-snapshot
Visualizing long-term single-molecule dynamics in vivo by stochastic protein labeling
inferredcites →https://doi.org/10.1093/bioinformatics/bty699openalex-snapshot
Container-based bioinformatics with Pachyderm
inferredcites →https://doi.org/10.1093/bioinformatics/btz160openalex-snapshot
Interoperable and scalable data analysis with microservices: applications in metabolomics
inferredcites →https://doi.org/10.1093/gigascience/giy149openalex-snapshot
PhenoMeNal: processing and analysis of metabolomics data in the cloud
inferredcites →https://doi.org/10.1093/nar/25.17.3389openalex-snapshot
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
inferredcites →https://doi.org/10.1101/2020.03.20.000133openalex-snapshot
ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy
inferredcites →https://doi.org/10.1101/799270openalex-snapshot
DeepImageJ: A user-friendly environment to run deep learning models in ImageJ
inferredcites →https://doi.org/10.1101/803205openalex-snapshot
Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning
inferredcites →https://doi.org/10.1109/cvpr.2017.305openalex-snapshot
Deep Watershed Transform for Instance Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2019.00656openalex-snapshot
Panoptic Feature Pyramid Networks
inferredcites →https://doi.org/10.1109/cvprw50498.2020.00499openalex-snapshot
CTMC: Cell Tracking with Mitosis Detection Dataset Challenge
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/mcc.2014.51openalex-snapshot
Containers and Cloud: From LXC to Docker to Kubernetes
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1371/journal.pbio.2005970openalex-snapshot
CellProfiler 3.0: Next-generation image processing for biology
inferredcites →https://doi.org/10.1371/journal.pcbi.1005177openalex-snapshot
Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments
inferredcites →https://doi.org/10.1371/journal.pcbi.1006542openalex-snapshot
Eleven quick tips to build a usable REST API for life sciences
inferredcites →https://doi.org/10.15252/msb.20177551openalex-snapshot
Automated analysis of high‐content microscopy data with deep learning
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1901.03353openalex-snapshot
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
inferredcites →https://doi.org/10.48550/arxiv.1905.13105openalex-snapshot
ImJoy: an open-source computational platform for the deep learning era
inferredcites →https://doi.org/10.7717/peerj-cs.232openalex-snapshot
On-demand virtual research environments using microservices
inferredcites →https://doi.org/10.7717/peerj.453openalex-snapshot
scikit-image: image processing in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jbio.201960050openalex-snapshot
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
inferred← citeshttps://doi.org/10.1002/jemt.24480openalex-snapshot
DLgram cloud service for deep‐learning analysis of microscopy images
inferred← citeshttps://doi.org/10.1016/j.bbcan.2021.188585openalex-snapshot
Combinatorial therapy in tumor microenvironment: Where do we stand?
inferred← citeshttps://doi.org/10.1016/j.crmeth.2021.100038openalex-snapshot
CUBIC-Cloud provides an integrative computational framework toward community-driven whole-mouse-brain mapping
inferred← citeshttps://doi.org/10.1038/s41467-025-62593-1openalex-snapshot
Thor: a platform for cell-level investigation of spatial transcriptomics and histology
inferred← citeshttps://doi.org/10.1038/s41477-023-01527-5openalex-snapshot
Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy
inferred← citeshttps://doi.org/10.1038/s41551-024-01271-xopenalex-snapshot
Spatially resolved subcellular protein–protein interactomics in drug-perturbed lung-cancer cultures and tissues
inferred← citeshttps://doi.org/10.1038/s41587-020-0651-8openalex-snapshot
Single-cell metabolic profiling of human cytotoxic T cells
inferred← citeshttps://doi.org/10.1038/s41587-021-01094-0openalex-snapshot
Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning
inferred← citeshttps://doi.org/10.1038/s41590-021-01121-xopenalex-snapshot
The immunoregulatory landscape of human tuberculosis granulomas
inferred← citeshttps://doi.org/10.1038/s41590-023-01678-9openalex-snapshot
Decoding the tumor microenvironment with spatial technologies
inferred← citeshttps://doi.org/10.1038/s41592-023-01939-3openalex-snapshot
SCS: cell segmentation for high-resolution spatial transcriptomics
inferred← citeshttps://doi.org/10.1038/s41596-021-00611-4openalex-snapshot
Tutorial: methods for three-dimensional visualization of archival tissue material
inferred← citeshttps://doi.org/10.1038/s41598-024-66600-1openalex-snapshot
High-throughput image processing software for the study of nuclear architecture and gene expression
inferred← citeshttps://doi.org/10.1038/s41598-025-90592-1openalex-snapshot
Topological data analysis of pattern formation of human induced pluripotent stem cell colonies
inferred← citeshttps://doi.org/10.1101/2020.01.17.909796openalex-snapshot
Multiplexed Single-cell Metabolic Profiles Organize the Spectrum of Cytotoxic Human T Cells
inferred← citeshttps://doi.org/10.1101/2020.06.08.140426openalex-snapshot
Multiplexed imaging of human tuberculosis granulomas uncovers immunoregulatory features conserved across tissue and blood
inferred← citeshttps://doi.org/10.1101/2020.07.15.204891openalex-snapshot
HistoFlow: Label-Efficient and Interactive Deep Learning Cell Analysis
inferred← citeshttps://doi.org/10.1101/2020.08.28.271031openalex-snapshot
CUBIC-Cloud: An Integrative Computational Framework Towards Community-driven Whole-Mouse-Brain Mapping
inferred← citeshttps://doi.org/10.1101/2021.06.03.444997openalex-snapshot
Phenotyping of Klf14 mouse white adipose tissue enabled by whole slide segmentation with deep neural networks
inferred← citeshttps://doi.org/10.1101/2023.11.02.565366openalex-snapshot
HiTIPS: High-Throughput Image Processing Software for the Study of Nuclear Architecture and Gene Expression
inferred← citeshttps://doi.org/10.1101/2025.05.04.652145openalex-snapshot
Streamlining Multiplexed Tissue Image Analysis with PIPΣX: An Integrated Automated Pipeline for Image Processing and EXploration for Diverse Tissue Types
inferred← citeshttps://doi.org/10.1101/803205openalex-snapshot
Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning
inferred← citeshttps://doi.org/10.1109/access.2021.3100082openalex-snapshot
Zeus: Improving Resource Efficiency via Workload Colocation for Massive Kubernetes Clusters
inferred← citeshttps://doi.org/10.1109/access.2024.3390726openalex-snapshot
HDA-Net: H&E and RGB Dual Attention Network for Nuclei Instance Segmentation
inferred← citeshttps://doi.org/10.1111/imm.13646openalex-snapshot
Multi‐omic and spatial dissection of immunotherapy response groups in non‐small cell lung cancer
inferred← citeshttps://doi.org/10.1111/imm.13679openalex-snapshot
A robust platform for integrative spatial multi‐omics analysis to map immune responses to SARS‐CoV ‐2 infection in lung tissues
inferred← citeshttps://doi.org/10.1111/jmi.13433openalex-snapshot
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
inferred← citeshttps://doi.org/10.1111/mmi.14417openalex-snapshot
BactMAP: An R package for integrating, analyzing and visualizing bacterial microscopy data
inferred← citeshttps://doi.org/10.1111/tpj.14543openalex-snapshot
DeepTetrad: high‐throughput image analysis of meiotic tetrads by deep learning in Arabidopsis thaliana
inferred← citeshttps://doi.org/10.1186/s12860-021-00369-3openalex-snapshot
Methodology for comprehensive cell-level analysis of wound healing experiments using deep learning in MATLAB
inferred← citeshttps://doi.org/10.3389/fcomp.2021.734559openalex-snapshot
Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach
inferred← citeshttps://doi.org/10.7554/elife.59187openalex-snapshot
3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images
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