Distorting anatomy to test MEG models and metrics. [PDF]
Imaging Neurosci (Camb)López JD +5 more
europepmc +1 more source
On Integral Priors for Multiple Comparison in Bayesian Model Selection
International Statistical Review, EarlyView.Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón +2 more
wiley +1 more source
Privacy-aware deep vein thrombosis segmentation using a multi-model federated learning framework with the federated averaging algorithm. [PDF]
Sci RepB PL, S V.
europepmc +1 more source
MedLedgerFL: a hybrid blockchain-federated learning framework for secure remote healthcare services. [PDF]
Sci RepMurala DK +4 more
europepmc +1 more source
Management of Severely Reduced Interimplant Distance Using a Novel Eccentric Abutment: A 6-Year Case Report Featuring Digital Quantification of Implant Spacing. [PDF]
Case Rep DentSchwarz DM +4 more
europepmc +1 more source
Tail-Latency-Aware Federated Learning with Pinching Antenna: Latency, Participation, and Placement. [PDF]
Entropy (Basel)Lin Y, Ding Z.
europepmc +1 more source
Federated learning for privacy-preserving skin cancer classification using deep neural networks. [PDF]
Front OncolAlfalahi MAM +3 more
europepmc +1 more source
Federated Learning for non-IID Healthcare Data
International Research Journal of Modernization in Engineering Technology & Scienceopenaire +1 more source