Shape in Medical Imaging, Kartoniert / Broschiert
Shape in Medical Imaging
- International Workshop, ShapeMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Christian Wachinger, Gijs Luijten, Shireen Elhabian, Karthik Gopinath, Jan Egger
- Verlag:
- Springer, 10/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783032067739
- Artikelnummer:
- 12420212
- Umfang:
- 376 Seiten
- Gewicht:
- 569 g
- Maße:
- 235 x 155 mm
- Stärke:
- 21 mm
- Erscheinungstermin:
- 5.10.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Shape in Medical Imaging |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Paperback, Englisch | EUR 63,51* |
Klappentext
.- 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.