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Metadata-Guided Visual Representation Learning for Biomedical Images

https://doi.org/10.1101/725754
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-24261-3_7openalex-snapshot
Deep Metric Learning Using Triplet Network
inferredcites →https://doi.org/10.1007/978-3-319-46466-4_5openalex-snapshot
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
inferredcites →https://doi.org/10.1007/978-3-319-49409-8_46openalex-snapshot
Transfer Learning for Cell Nuclei Classification in Histopathology Images
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1016/j.jvlc.2008.01.002openalex-snapshot
A survey of methods for image annotation
inferredcites →https://doi.org/10.1016/j.tcb.2016.03.008openalex-snapshot
High-Content Screening for Quantitative Cell Biology
inferredcites →https://doi.org/10.1038/nmeth.2083openalex-snapshot
Annotated high-throughput microscopy image sets for validation
inferredcites →https://doi.org/10.1091/mbc.e17-05-0333openalex-snapshot
A deep learning and novelty detection framework for rapid phenotyping in high-content screening
inferredcites →https://doi.org/10.1101/161422openalex-snapshot
Improving Phenotypic Measurements in High-Content Imaging Screens
inferredcites →https://doi.org/10.1101/361410openalex-snapshot
Unsupervised phenotypic analysis of cellular images with multi-scale convolutional neural networks
inferredcites →https://doi.org/10.1109/cvpr.2005.202openalex-snapshot
Learning a Similarity Metric Discriminatively, with Application to Face Verification
inferredcites →https://doi.org/10.1109/cvpr.2006.100openalex-snapshot
Dimensionality Reduction by Learning an Invariant Mapping
inferredcites →https://doi.org/10.1109/cvpr.2014.180openalex-snapshot
Learning Fine-Grained Image Similarity with Deep Ranking
inferredcites →https://doi.org/10.1109/cvpr.2014.222openalex-snapshot
Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00202openalex-snapshot
Revisiting Self-Supervised Visual Representation Learning
inferredcites →https://doi.org/10.1158/1535-7163.mct-09-1148openalex-snapshot
High-Content Phenotypic Profiling of Drug Response Signatures across Distinct Cancer Cells
inferredcites →https://doi.org/10.1177/1087057110370894openalex-snapshot
Automated Image Analysis for High-Content Screening and Analysis
inferredcites →https://doi.org/10.1186/gb-2006-7-10-r100openalex-snapshot
CellProfiler: image analysis software for identifying and quantifying cell phenotypes
inferredcites →https://doi.org/10.1371/journal.pcbi.1007348openalex-snapshot
Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting
inferredcites →https://doi.org/10.2174/15734056mtez4nzmc0openalex-snapshot
A Tour of Unsupervised Deep Learning for Medical Image Analysis
inferredcites →https://doi.org/10.3109/10409238.2015.1135868openalex-snapshot
Computer vision for high content screening
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.5120/4616-6295openalex-snapshot
A Study on Image Annotation Techniques

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-030-87589-3_58openalex-snapshot
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
inferred← citeshttps://doi.org/10.1007/978-3-032-09513-8_42openalex-snapshot
Scheduled Cross-Domain Multi-center DINO for Robust High-Content Screening Representation Learning
inferred← citeshttps://doi.org/10.1093/bib/bbae284openalex-snapshot
Morphological profiling for drug discovery in the era of deep learning
inferred← citeshttps://doi.org/10.1093/bioinformatics/btab497openalex-snapshot
Fully unsupervised deep mode of action learning for phenotyping high-content cellular images
inferred← citeshttps://doi.org/10.1101/2022.05.15.491989openalex-snapshot
High-content cellular screen image analysis benchmark study
inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10095058openalex-snapshot
Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity
inferred← citeshttps://doi.org/10.34133/2022/9861263openalex-snapshot
Deep Learning in Cell Image Analysis
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