On the public citation graph

Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images

0 signed · 67 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/(issn)1542-4863openalex-snapshot
CA A Cancer Journal for Clinicians
inferredcites →https://doi.org/10.1006/cviu.1999.0768openalex-snapshot
ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_44openalex-snapshot
Joint Kernel-Based Supervised Hashing for Scalable Histopathological Image Analysis
inferredcites →https://doi.org/10.1007/s001380050104openalex-snapshot
Image-guided decision support system for pathology
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/j.compbiomed.2008.02.004openalex-snapshot
Semantic content analysis and annotation of histological images
inferredcites →https://doi.org/10.1016/j.compmedimag.2011.01.008openalex-snapshot
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data
inferredcites →https://doi.org/10.1016/j.jbi.2007.06.007openalex-snapshot
A method for linking computed image features to histological semantics in neuropathology
inferredcites →https://doi.org/10.1016/j.jbi.2011.01.011openalex-snapshot
Content-based histopathology image retrieval using a kernel-based semantic annotation framework
inferredcites →https://doi.org/10.1016/j.jbi.2014.04.016openalex-snapshot
Histology image search using multimodal fusion
inferredcites →https://doi.org/10.1016/j.juro.2009.10.046openalex-snapshot
An Update of the Gleason Grading System
inferredcites →https://doi.org/10.1016/j.media.2013.06.002openalex-snapshot
Explicit shape descriptors: Novel morphologic features for histopathology classification
inferredcites →https://doi.org/10.1016/j.media.2015.10.005openalex-snapshot
High-throughput histopathological image analysis via robust cell segmentation and hashing
inferredcites →https://doi.org/10.1016/j.neucom.2006.02.010openalex-snapshot
Combining labeled and unlabeled data with graph embedding
inferredcites →https://doi.org/10.1016/s0925-2312(97)90018-7openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1053/hupa.2001.21135openalex-snapshot
Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologist
inferredcites →https://doi.org/10.1097/01.pas.0000173646.99337.b1openalex-snapshot
The 2005 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr.2012.6247912openalex-snapshot
Supervised hashing with kernels
inferredcites →https://doi.org/10.1109/isbi.2014.6868069openalex-snapshot
Mining histopathological images via hashing-based scalable image retrieval
inferredcites →https://doi.org/10.1109/tbme.2010.2053540openalex-snapshot
A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies
inferredcites →https://doi.org/10.1109/tcbb.2008.36openalex-snapshot
Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies
inferredcites →https://doi.org/10.1109/tip.2006.877491openalex-snapshot
Generalized Manifold-Ranking-Based Image Retrieval
inferredcites →https://doi.org/10.1109/tip.2009.2032342openalex-snapshot
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
inferredcites →https://doi.org/10.1109/tip.2009.2035223openalex-snapshot
Biased Discriminant Euclidean Embedding for Content-Based Image Retrieval
inferredcites →https://doi.org/10.1109/titb.2003.808500openalex-snapshot
Histological image retrieval based on semantic content analysis
inferredcites →https://doi.org/10.1109/titb.2003.822952openalex-snapshot
Design and analysis of a content-based pathology image retrieval system
inferredcites →https://doi.org/10.1109/titb.2008.2008801openalex-snapshot
PathMiner: A Web-Based Tool for Computer-Assisted Diagnostics in Pathology
inferredcites →https://doi.org/10.1109/titb.2012.2227270openalex-snapshot
Histology Image Retrieval in Optimized Multifeature Spaces
inferredcites →https://doi.org/10.1109/tmi.2004.834601openalex-snapshot
A Similarity Learning Approach to Content-Based Image Retrieval: Application to Digital Mammography
inferredcites →https://doi.org/10.1109/tmi.2012.2190089openalex-snapshot
An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery
inferredcites →https://doi.org/10.1109/tmi.2014.2361481openalex-snapshot
Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval
inferredcites →https://doi.org/10.1109/tpami.2004.1262185openalex-snapshot
Spectral grouping using the nystrom method
inferredcites →https://doi.org/10.1117/12.339826openalex-snapshot
Evaluation of prostate tumor grades by content-based image retrieval
inferredcites →https://doi.org/10.1117/12.813931openalex-snapshot
A boosted distance metric: application to content based image retrieval and classification of digitized histopathology
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot
A Global Geometric Framework for Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
inferredcites →https://doi.org/10.1162/neco.2009.11-07-651openalex-snapshot
Density-Weighted Nyström Method for Computing Large Kernel Eigensystems
inferredcites →https://doi.org/10.1515/9781400874668openalex-snapshot
Adaptive Control Processes
inferredcites →https://doi.org/10.2217/iim.09.9openalex-snapshot
Digital pathology image analysis: opportunities and challenges
inferredcites →https://doi.org/10.3322/caac.20138openalex-snapshot
Cancer statistics, 2012

What points at this work

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

inferred← citeshttps://doi.org/10.1002/widm.1439openalex-snapshot
Deep learning in histopathology: A review
inferred← citeshttps://doi.org/10.1007/978-3-031-16876-5_1openalex-snapshot
Multi-task Semi-supervised Learning for Vascular Network Segmentation and Renal Cell Carcinoma Classification
inferred← citeshttps://doi.org/10.1016/j.ajpath.2021.01.015openalex-snapshot
Searching Images for Consensus
inferred← citeshttps://doi.org/10.1016/j.annpat.2019.01.003openalex-snapshot
La pathologie cancéreuse pulmonaire à l’heure de l’intelligence artificielle : entre espoir, désespoir et perspectives
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2022.102053openalex-snapshot
Deep contrastive learning based tissue clustering for annotation-free histopathology image analysis
inferred← citeshttps://doi.org/10.1016/j.csbj.2018.01.001openalex-snapshot
Machine Learning Methods for Histopathological Image Analysis
inferred← citeshttps://doi.org/10.1016/j.media.2019.101624openalex-snapshot
Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis
inferred← citeshttps://doi.org/10.1016/j.xcrm.2024.101506openalex-snapshot
Harnessing artificial intelligence for prostate cancer management
inferred← citeshttps://doi.org/10.1038/s41551-022-00929-8openalex-snapshot
Fast and scalable search of whole-slide images via self-supervised deep learning
inferred← citeshttps://doi.org/10.1038/s41598-018-35501-5openalex-snapshot
Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies
inferred← citeshttps://doi.org/10.1038/s41746-019-0131-zopenalex-snapshot
Similar image search for histopathology: SMILY
inferred← citeshttps://doi.org/10.1088/1361-6560/ac910aopenalex-snapshot
Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self-supervised techniques in histopathological image analysis
inferred← citeshttps://doi.org/10.1101/2025.10.25.684566openalex-snapshot
Web engine for tumor pathology image retrievals on massive scales
inferred← citeshttps://doi.org/10.1109/dasa59624.2023.10286677openalex-snapshot
Significant Feature Dimensionality Reduction for Histopathology Image Retrieval as a Tool for Healthcare Decisions Support
inferred← citeshttps://doi.org/10.1109/icass.2018.8651980openalex-snapshot
Semi-Supervised Learning for Medical Application: A Survey
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00049openalex-snapshot
Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images
inferred← citeshttps://doi.org/10.1109/jbhi.2020.3038889openalex-snapshot
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of Lymphocytosis
inferred← citeshttps://doi.org/10.1109/tgrs.2021.3133957openalex-snapshot
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images
inferred← citeshttps://doi.org/10.1109/tmi.2021.3056023openalex-snapshot
Self-Path: Self-Supervision for Classification of Pathology Images With Limited Annotations
inferred← citeshttps://doi.org/10.1186/s12859-016-1086-6openalex-snapshot
Automated prostate tissue referencing for cancer detection and diagnosis
inferred← citeshttps://doi.org/10.17576/jkukm-2018-30(1)-14openalex-snapshot
Content-based Image Retrieval for Medical Application
inferred← citeshttps://doi.org/10.3390/math8111863openalex-snapshot
Objective Diagnosis for Histopathological Images Based on Machine Learning Techniques: Classical Approaches and New Trends
inferred← citeshttps://doi.org/10.3844/jcssp.2024.708.721openalex-snapshot
Challenges of Breast Cancer Detection Based on Histopathology Images
inferred← citeshttps://doi.org/10.48550/arxiv.2107.13587openalex-snapshot
Fast and Scalable Image Search For Histology
inferred← citeshttps://doi.org/10.70675/053d6ac3z8c79z451cz88c8z553669be02c2openalex-snapshot
Unsupervised and weakly supervised deep learning methods for computer vision and medical imaging
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.