Description

Book Synopsis

.- Anisotropic Fourier Features for Positional Encoding in Medical Imaging.
.- PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models.
.- A Unified Pipeline for Explainable Gait Analysis.
.- ShapeKit.
.- Posterior Shape Models Revisited: Improving 3D Reconstructions from Partial Data Using Target-Specific Models.
.- Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading.
.- Benchmarking Evaluation Metrics for Tubular Structure Segmentation in Biomedical Images.
.- Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models.
.- A Statistical 3D Stomach Shape Model for Anatomical Analysis.
.- AnatomyGen: Generating Anatomically Plausible Human Phantoms at High Resolution.
.- Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation.
.- Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting.
.- OsteoDeform: Osteophyte-Aware Shape Deformations of Distal Femur Models for Surgical Planning in Total Knee Arthroplasty.
.- Spline-based shape compression for interventional device tracking.
.- End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data.
.- A Simple Modality-Agnostic Representation for Scoliosis Phenotyping.
.- US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery.
.- A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry.
.- Parametric shape models for vessels learned from segmentations via differentiable voxelization.
.- Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging.
.- GReAT: leveraging geometric artery data to improve wall shear stress assessment.
.- Shape vs flow: a 2D statistical shape analysis of the projection of common iliac veins in patients with deep vein thrombosis.
.- Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation.
.- Point Set Registration Metrics Reloaded for Computer-Assisted Surgery.
.- Benchmark-Ready 3D Anatomical Shape Classification.
.- SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction.

Shape in Medical Imaging

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    Order before 4pm today for delivery by Fri 7 Aug 2026.

    A Paperback by Christian Wachinger

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      Publisher: Springer
      Publication Date: Publication Date: 30/10/2025
      ISBN13: 9783032067739, 978-3032067739
      ISBN10:
      Also in:
      Computer vision

      Description

      Book Synopsis

      .- Anisotropic Fourier Features for Positional Encoding in Medical Imaging.
      .- PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models.
      .- A Unified Pipeline for Explainable Gait Analysis.
      .- ShapeKit.
      .- Posterior Shape Models Revisited: Improving 3D Reconstructions from Partial Data Using Target-Specific Models.
      .- Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading.
      .- Benchmarking Evaluation Metrics for Tubular Structure Segmentation in Biomedical Images.
      .- Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models.
      .- A Statistical 3D Stomach Shape Model for Anatomical Analysis.
      .- AnatomyGen: Generating Anatomically Plausible Human Phantoms at High Resolution.
      .- Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation.
      .- Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting.
      .- OsteoDeform: Osteophyte-Aware Shape Deformations of Distal Femur Models for Surgical Planning in Total Knee Arthroplasty.
      .- Spline-based shape compression for interventional device tracking.
      .- End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data.
      .- A Simple Modality-Agnostic Representation for Scoliosis Phenotyping.
      .- US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery.
      .- A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry.
      .- Parametric shape models for vessels learned from segmentations via differentiable voxelization.
      .- Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging.
      .- GReAT: leveraging geometric artery data to improve wall shear stress assessment.
      .- Shape vs flow: a 2D statistical shape analysis of the projection of common iliac veins in patients with deep vein thrombosis.
      .- Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation.
      .- Point Set Registration Metrics Reloaded for Computer-Assisted Surgery.
      .- Benchmark-Ready 3D Anatomical Shape Classification.
      .- SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction.

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