{"product_id":"shape-in-medical-imaging-9783032067739","title":"Shape in Medical Imaging","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e.- Anisotropic Fourier Features for Positional Encoding in Medical Imaging.\u003cbr\u003e.- PSGM-TR: A Transformer-Based Approach for Pulmonary Segment Segmentation Using Gaussian Mixture Models.\u003cbr\u003e.- A Unified Pipeline for Explainable Gait Analysis.\u003cbr\u003e.- ShapeKit.\u003cbr\u003e.- Posterior Shape Models Revisited: Improving 3D Reconstructions from Partial Data Using Target-Specific Models.\u003cbr\u003e.- Anatomically-Focused Patches for Lightweight and Explainable Knee OA Grading.\u003cbr\u003e.- Benchmarking Evaluation Metrics for Tubular Structure Segmentation in Biomedical Images.\u003cbr\u003e.- Large Intestine 3D Shape Refinement Using Conditional Latent Point Diffusion Models.\u003cbr\u003e.- A Statistical 3D Stomach Shape Model for Anatomical Analysis.\u003cbr\u003e.- AnatomyGen: Generating Anatomically Plausible Human Phantoms at High Resolution.\u003cbr\u003e.- Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation.\u003cbr\u003e.- Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting.\u003cbr\u003e.- OsteoDeform: Osteophyte-Aware Shape Deformations of Distal Femur Models for Surgical Planning in Total Knee Arthroplasty.\u003cbr\u003e.- Spline-based shape compression for interventional device tracking.\u003cbr\u003e.- End-to-End Learning of Multi-Organ Implicit Surfaces from 3D Medical Imaging Data.\u003cbr\u003e.- A Simple Modality-Agnostic Representation for Scoliosis Phenotyping.\u003cbr\u003e.- US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery.\u003cbr\u003e.- A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry.\u003cbr\u003e.- Parametric shape models for vessels learned from segmentations via differentiable voxelization.\u003cbr\u003e.- Deep Learning Enables Large-Scale Shape and Appearance Modeling in Total-Body DXA Imaging.\u003cbr\u003e.- GReAT: leveraging geometric artery data to improve wall shear stress assessment.\u003cbr\u003e.- Shape vs flow: a 2D statistical shape analysis of the projection of common iliac veins in patients with deep vein thrombosis.\u003cbr\u003e.- Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation.\u003cbr\u003e.- Point Set Registration Metrics Reloaded for Computer-Assisted Surgery.\u003cbr\u003e.- Benchmark-Ready 3D Anatomical Shape Classification.\u003cbr\u003e.- SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195529847127,"sku":"9783032067739","price":44.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/shape-in-medical-imaging-9783032067739","provider":"Book Curl","version":"1.0","type":"link"}