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Open access Sep 2026

Toward a computationally efficient numerical approach to simulate the left atrial appendage occlusion in patient-specific anatomies.

The proposed pipeline enables scenario-based, patient-specific LAAO simulation and substantially reduces computational cost while preserving accuracy, whereas neglecting hooks (BFM) is not acceptable.

Chiara Bonfanti, Francesca Danielli, F. Berti et al. · 1 citation
Sep 2026

Reject Option for Medical Image Classification Using CNN-Derived Latent-Space Neighbourhood Analysis.

A logistic regression rejector is trained post hoc using features derived from the latent representations of the base CNN to assess prediction reliability through local latent-space structure, offering a practical tool for uncertainty-aware decision support in biomedical imaging.

Antonio Arcangeli, Lisa Anita De Santi, M. Santarelli et al. · 0 citations
Review Open access Sep 2026

Cardiac CT Roadmap for Left Atrial Appendage Occlusion: From Planning to Strategy to Follow-Up

Cardiac computed tomography (CCT) has emerged as a central imaging modality in the workflow for left atrial appendage occlusion (LAAO), as accurate anatomical assessment is vital for successful intervention. CCT provides superior three-dimensional (3D) anatomical detail and isotropic spatial resolution compared to trad...

A. Meloni, K. Capellini, B. Fanni et al. · 0 citations

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