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Privacy-preserving quality control of neuroimaging datasets in federated environment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/hbm.24591openalex-snapshot
Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/3-540-45372-5_26openalex-snapshot
Quality Scheme Assessment in the Clustering Process
inferredcites →https://doi.org/10.1007/978-3-030-11723-8_9openalex-snapshot
Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
inferredcites →https://doi.org/10.1007/978-3-662-53641-4_21openalex-snapshot
More Efficient Constant-Round Multi-party Computation from BMR and SHE
inferredcites →https://doi.org/10.1007/s10803-013-1815-xopenalex-snapshot
The International Collaboration for Autism Registry Epidemiology (iCARE): Multinational Registry-Based Investigations of Autism Risk Factors and Trends
inferredcites →https://doi.org/10.1007/s11682-013-9269-5openalex-snapshot
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
inferredcites →https://doi.org/10.1007/s12021-012-9151-4openalex-snapshot
Sharing Heterogeneous Data: The National Database for Autism Research
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.jbi.2013.03.008openalex-snapshot
EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning
inferredcites →https://doi.org/10.1016/j.neuroimage.2005.02.018openalex-snapshot
Unified segmentation
inferredcites →https://doi.org/10.1016/j.neuroimage.2013.04.083openalex-snapshot
Clinical applications of the functional connectome
inferredcites →https://doi.org/10.1016/j.neuroimage.2015.04.057openalex-snapshot
The Pediatric Imaging, Neurocognition, and Genetics (PING) Data Repository
inferredcites →https://doi.org/10.1016/j.schres.2008.02.007openalex-snapshot
A large scale (N=400) investigation of gray matter differences in schizophrenia using optimized voxel-based morphometry
inferredcites →https://doi.org/10.1016/s2214-109x(18)30406-6openalex-snapshot
Precision medicine and global mental health
inferredcites →https://doi.org/10.1037/h0071325openalex-snapshot
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1038/mp.2013.78openalex-snapshot
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
inferredcites →https://doi.org/10.1038/nbt.2594openalex-snapshot
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia
inferredcites →https://doi.org/10.1038/s41467-017-01689-9openalex-snapshot
Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
inferredcites →https://doi.org/10.1038/s41587-019-0336-3openalex-snapshot
Visualizing structure and transitions in high-dimensional biological data
inferredcites →https://doi.org/10.1080/01969727308546046openalex-snapshot
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
inferredcites →https://doi.org/10.1093/ije/dyu188openalex-snapshot
DataSHIELD: taking the analysis to the data, not the data to the analysis
inferredcites →https://doi.org/10.1093/ije/dyv193openalex-snapshot
ViPAR: a software platform for the Virtual Pooling and Analysis of Research Data
inferredcites →https://doi.org/10.1109/72.554199openalex-snapshot
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets
inferredcites →https://doi.org/10.1109/focs.2010.12openalex-snapshot
Boosting and Differential Privacy
inferredcites →https://doi.org/10.1109/mlsp.2015.7324344openalex-snapshot
Large scale collaboration with autonomy: Decentralized data ICA
inferredcites →https://doi.org/10.1109/t-c.1969.222678openalex-snapshot
A Nonlinear Mapping for Data Structure Analysis
inferredcites →https://doi.org/10.1109/tpami.1979.4766909openalex-snapshot
A Cluster Separation Measure
inferredcites →https://doi.org/10.1111/j.2517-6161.1986.tb01408.xopenalex-snapshot
A Note on Bayes Factors for Log-Linear Contingency Table Models with Vague Prior Information
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/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/2133360.2133363openalex-snapshot
Isolation-Based Anomaly Detection
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1162/089976603321780317openalex-snapshot
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.1561/9781601988195openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.21105/joss.00861openalex-snapshot
UMAP: Uniform Manifold Approximation and Projection
inferredcites →https://doi.org/10.21105/joss.02166openalex-snapshot
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation
inferredcites →https://doi.org/10.24963/ijcai.2017/372openalex-snapshot
See without looking: joint visualization of sensitive multi-site datasets
inferredcites →https://doi.org/10.3389/fninf.2014.00035openalex-snapshot
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
inferredcites →https://doi.org/10.3389/fninf.2016.00009openalex-snapshot
A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets
inferredcites →https://doi.org/10.3389/fnins.2014.00229openalex-snapshot
Deep learning for neuroimaging: a validation study
inferredcites →https://doi.org/10.3389/fnins.2016.00365openalex-snapshot
COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data
inferredcites →https://doi.org/10.48550/arxiv.1806.00582openalex-snapshot
Federated Learning with Non-IID Data
inferredcites →https://doi.org/10.48550/arxiv.1910.12913openalex-snapshot
Improved Differentially Private Decentralized Source Separation for fMRI Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s12021-021-09550-7openalex-snapshot
Federated Analysis of Neuroimaging Data: A Review of the Field
inferred← citeshttps://doi.org/10.1007/s12021-021-09559-yopenalex-snapshot
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability
inferred← citeshttps://doi.org/10.1089/brain.2020.0794openalex-snapshot
A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States
inferred← citeshttps://doi.org/10.1109/isbi52829.2022.9761419openalex-snapshot
Decentralized Spatially Constrained Source-Based Morphometry
inferred← citeshttps://doi.org/10.1609/aaai.v36i8.20827openalex-snapshot
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
inferred← citeshttps://doi.org/10.3390/math9111251openalex-snapshot
Machine Learning-Based Detection Technique for NDT in Industrial Manufacturing
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