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This book presents peer-reviewed contributions from the MICCAI 2023 Computational Biomechanics for Medicine CBM XVIII Workshop held in conjunction with the 26th International MICCAI Conference. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes medical image computing, application of machine learning in image analysis and biomechanics, atlas based biomechanical simulations, novel algorithms of computational biomechanics and experimental methods for analysis of disease and injury mechanisms. The book details state-of-the-art…mehr
This book presents peer-reviewed contributions from the MICCAI 2023 Computational Biomechanics for Medicine CBM XVIII Workshop held in conjunction with the 26th International MICCAI Conference. The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes medical image computing, application of machine learning in image analysis and biomechanics, atlas based biomechanical simulations, novel algorithms of computational biomechanics and experimental methods for analysis of disease and injury mechanisms.
The book details state-of-the-art progress in the above fields to researchers, students, and professionals.
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.- Random Boundaries: Quantifying Segmentation Uncertainty in Solutions to Boundary-Value Problems.- Open Meshed Anatomy.- Developing a Pipeline to Efficiently Represent MNI-Based Brain Functional Regions For FE Modeling.- Investigating the Impact of Material Properties on the Simulated Response of Heel Soft Tissue in the Context of Pressure Ulcers.
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.- Random Boundaries: Quantifying Segmentation Uncertainty in Solutions to Boundary-Value Problems.- Open Meshed Anatomy.- Developing a Pipeline to Efficiently Represent MNI-Based Brain Functional Regions For FE Modeling.- Investigating the Impact of Material Properties on the Simulated Response of Heel Soft Tissue in the Context of Pressure Ulcers.
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.- Random Boundaries: Quantifying Segmentation Uncertainty in Solutions to Boundary-Value Problems.- Open Meshed Anatomy.- Developing a Pipeline to Efficiently Represent MNI-Based Brain Functional Regions For FE Modeling.- Investigating the Impact of Material Properties on the Simulated Response of Heel Soft Tissue in the Context of Pressure Ulcers.
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.- Random Boundaries: Quantifying Segmentation Uncertainty in Solutions to Boundary-Value Problems.- Open Meshed Anatomy.- Developing a Pipeline to Efficiently Represent MNI-Based Brain Functional Regions For FE Modeling.- Investigating the Impact of Material Properties on the Simulated Response of Heel Soft Tissue in the Context of Pressure Ulcers.
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