A data-driven approach for real-time soft tissue deformation prediction using nonlinear presurgical simulations

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Pubblicato in:	PLoS One vol. 20, no. 4 (Apr 2025), p. e0319196
Autore principale:	Liu, Haolin
Altri autori:	Han, Ye, Emerson, Daniel, Rabin, Yoed, Kara, Levent Burak
Pubblicazione:	Public Library of Science
Soggetti:	Digital imaging Finite element method Imaging techniques Software Accuracy Aorta Datasets Data acquisition Boundary conditions Medical imaging Neural networks Image processing Registration Tracking Surgery Machine learning Simulation Soft tissues Predictions Tissues Aneurysms Computed tomography Coronary vessels Biomarkers Three dimensional models Ultrasound Image acquisition Real time Geometry Ultrasonic imaging Environmental
Accesso online:	Citation/Abstract Full Text Full Text - PDF
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