Functional connectivity across the human subcortical auditory system using an autoregressive matrix-Gaussian copula graphical model approach with partial correlations. [PDF]
Chandra NK+3 more
europepmc +1 more source
Decomposability and selection of graphical models for multivariate time series [PDF]
Roland Fried, Vanessa Didelez
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Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du+7 more
wiley +1 more source
Operations and evaluation measures for learning possibilistic graphical models [PDF]
Christian Borgelt, Rudolf Kruse
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Abstract Purpose In radiation oncology, the integration and registration of multiple imaging modalities is a crucial aspect of the diagnosis and treatment planning process. These images are often inherently registered, a useful feature in most cases, but possibly a hindrance when registration modifications are required.
Brian M. Anderson, Casey Bojechko
wiley +1 more source
A Spatiotemporal Probabilistic Graphical Model Based on Adaptive Expectation-Maximization Attention for Individual Trajectory Reconstruction Considering Incomplete Observations. [PDF]
Sun X+7 more
europepmc +1 more source
Graphical models: methods for data analysis and mining by Christian Borgelt and Rudolf Kruse, Wiley, Chichester, 2001, No. of pages: 358, Price: £55. ISBN 0‐470‐84337‐3 [PDF]
Valerie Smith
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Correction: Pham et al. Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model. Sensors 2020, 20, 3382. [PDF]
Pham HC+5 more
europepmc +1 more source