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Computational Biomechanics for Medicine

Recent Trends Towards Accelerated Translation to the Clinic
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Part I Keynote Lectures.- To Measure Is To Know: Quantitative Imaging Is the Future of Diagnostic Radiology.- Brain Atlases With Fast Warping For Neurosurgery and Stroke.- Part II Biomechanical Analysis of Surgical Procedures, Prostheses and Image-based Diagnostics.- In-silico simulation of obstetric forceps placement using the Hilber-Hughes-Taylor implicit integration method with contact constraints.- A framework for CT-guided robotic biopsy: System validation and a physics-informed neural network for inverse kinematics.- Analysis of the influence of material selection on the mechanical properties of the prosthetic foot.- Generating non-melanoma skin cancer histopathology images using latent diffusion representation learning.- Part III Solid and Fluid (Bio-) Mechanics.- Material characterisation in pre-deformed configurations: Equilibrium-based loss and consistent linearisation.- Impact of geometric uncertainty on the computation of abdominal aortic aneurysm wall strain.- Mechanical behaviour of brain-skull interface (meninges) under shear loading through experiment and finite element modelling: Preliminary results.- On the appropriateness of linear stress recovery in biomechanical analysis of abdominal aortic aneurysm.- Simulation of mitral paravalvular leak with respect to hematocrit.

Produktdetails
  • Erscheinungsdatum: 20.08.2026
  • Autor/Autorin: Karol Miller
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 33.1 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 153 Seiten
  • ISBN: 9783032294944
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Darum lohnt sich dieses Buch

Provides selected peer-reviewed contributions from the MICCAI 2025 Computational Biomechanics for Medicine workshop Presents methods of computational biomechanics for computer-assisted therapy Ideal for researchers, students, and professionals working in this field

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