LEADER 03989nam 22006255 450 001 9910983486403321 005 20241026125723.0 010 $a3-031-75291-0 024 7 $a10.1007/978-3-031-75291-9 035 $a(MiAaPQ)EBC31741701 035 $a(Au-PeEL)EBL31741701 035 $a(CKB)36403427600041 035 $a(DE-He213)978-3-031-75291-9 035 $a(OCoLC)1465265743 035 $a(EXLCZ)9936403427600041 100 $a20241026d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aShape in Medical Imaging $eInternational Workshop, ShapeMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /$fedited by Christian Wachinger, Beatriz Paniagua, Shireen Elhabian, Gijs Luijten, Jan Egger 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (236 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15275 311 08$a3-031-75290-2 327 $aWeakly 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. 330 $aThis book constitutes the proceedings of the International Workshop on Shape in Medical Imaging, ShapeMI 2024, which took place in Marrakesh, Morocco, on October 6, 2024, held in conjunction with MICCAI 2024. The 16 full papers included in this book were carefully reviewed and selected from 24 submissions. They focus on shape and spectral analysis, geometric learning and modeling algorithms, and application-driven research. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15275 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 $aPaniagua$b Beatriz$01785382 701 $aElhabian$b Shireen$01785383 701 $aLuijten$b Gijs$01785384 701 $aEgger$b Jan$0987938 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983486403321 996 $aShape in Medical Imaging$94316926 997 $aUNINA