Shape in Medical Imaging

Weakly 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.