Description

Book Synopsis

Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.- PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model.- Deformable vertebra 3D/2D registration from biplanar X-rays using particle-based shape modelling.- Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution.- Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models.- 3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars.- Robust Curve Detection in Volumetric Medical Imaging via Attraction Field.- A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures.- Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging.- Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data.- Leveraging Expert Knowledge for Real-time Online Adaptation of Intraoperative Liver Registration.- MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images.- LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation.- Enhancing Multimodal Image-Based Classification of Alzheimer's Disease with Surface Information.- Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations.- Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging.

Shape in Medical Imaging

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    Order before 4pm tomorrow for delivery by Mon 22 Jun 2026.

    A Paperback by Christian Wachinger

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      View other formats and editions of Shape in Medical Imaging by Christian Wachinger

      Publisher: Springer
      Publication Date: 10/26/2024
      ISBN13: 9783031752902, 978-3031752902
      ISBN10: 3031752902
      Also in:
      Computer vision

      Description

      Book Synopsis

      Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images.- PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model.- Deformable vertebra 3D/2D registration from biplanar X-rays using particle-based shape modelling.- Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution.- Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models.- 3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars.- Robust Curve Detection in Volumetric Medical Imaging via Attraction Field.- A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures.- Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging.- Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data.- Leveraging Expert Knowledge for Real-time Online Adaptation of Intraoperative Liver Registration.- MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images.- LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation.- Enhancing Multimodal Image-Based Classification of Alzheimer's Disease with Surface Information.- Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations.- Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging.

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