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Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images

Lecture notes in computer science(2024)10.1007/978-3-031-72083-3_43Source: DataRank Database

Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images is a research paper published in Lecture notes in computer science (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)Impact (FWCI 0.52)OA: greenTopics (19)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Xiaoling Hu ORCID,Shahira Abousamra ORCID,Prateek Prasanna ORCID,Joel Saltz ORCID,Chao Chen ORCID

Live enrichment

PubMed:40556771 PMC:PMC12186872 OpenAlex:https://openalex.org/W4403365586

NIGMS NIH HHS

Grant: R01 GM148970

NCI NIH HHS

Grant: UH3 CA225021

NCI NIH HHS

Grant: R21 CA258493

National Science Foundation

Grant: 2144901

CAREER: Topology-Driven Learning for Biomedical Imaging Informatics

National Institutes of Health

Grant: 4UH3CA225021-03

Methods and Tools for Integrating Pathomics Data into Cancer Registries

National Institutes of Health

Grant: 5R21CA258493-02

Computerized platform for interactive annotation and topological characterization of tumor associated vasculature for predicting response to immunotherapy in lung cancer

National Institutes of Health

Grant: 5R01GM148970-03

DMS/NIGMS 1: Topological Study on Histological Images and Spatial Transcriptomics

FWCI

0.52

Citation Percentile

0.7%

Citation Trend

2024

2025

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12186872/pdf/nihms-2090158.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-72083-3_43

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12186872

book serieshttps://doi.org/10.1007/978-3-031-72083-3_43

Fields of Study

Digital Media Forensic DetectionAdvanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceDigital pathologyArtificial intelligenceNatural language processingComputer visionPattern recognition (psychology)DisentanglementContrastive VaeFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video Processing

Sustainable Development Goals

SDG 0: Reduced inequalities