LEADER 04648nam 22006135 450 001 996691664703316 005 20251004130449.0 010 $a3-032-06774-X 024 7 $a10.1007/978-3-032-06774-6 035 $a(MiAaPQ)EBC32329177 035 $a(Au-PeEL)EBL32329177 035 $a(CKB)41543368600041 035 $a(DE-He213)978-3-032-06774-6 035 $a(EXLCZ)9941543368600041 100 $a20251004d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aShape in Medical Imaging $eInternational Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings /$fedited by Christian Wachinger, Gijs Luijten, Shireen Elhabian, Karthik Gopinath, Jan Egger 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (573 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16171 311 08$a3-032-06773-1 327 $a -- 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. 330 $aThis book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2025, which took place in Daejeon, South Korea, on September 23, 2025, held in conjunction with MICCAI 2025. The 26 full papers included in this book were carefully reviewed and selected from 28 submissions. They focus on shape and spectral analysis, geometric learning and modeling algorithms, and application-driven research. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16171 606 $aComputer vision 606 $aMachine learning 606 $aComputers, Special purpose 606 $aComputer Vision 606 $aMachine Learning 606 $aSpecial Purpose and Application-Based Systems 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aComputers, Special purpose. 615 14$aComputer Vision. 615 24$aMachine Learning. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a006.37 700 $aWachinger$b Christian$01785381 701 $aLuijten$b Gijs$01785384 701 $aElhabian$b Shireen$01785383 701 $aGopinath$b Karthik$01860767 701 $aEgger$b Jan$0987938 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996691664703316 996 $aShape in Medical Imaging$94466494 997 $aUNISA