alexanderbaumann99 / S3M
Implementation of MICCAI'23: S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
☆15Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for S3M
- ☆23Updated last year
- ☆25Updated 2 years ago
- ☆36Updated 7 months ago
- Source code for CVPR 19 (Divergence Prior) & 21 (Confluent Vessel Tree) papers.☆28Updated 3 years ago
- PyTorch implementation for "Point Cloud Diffusion Models for Automatic Implant Generation" (MICCAI 2023)☆41Updated last year
- A deep-learning method for segmenting fractures from 3D CT images.☆22Updated 6 months ago
- Implementation of "Mesh2ssm: From surface meshes to statistical shape models of anatomy".☆14Updated 6 months ago
- Pytorch-based Differentiable Slicing for Mesh Learning in Medical Imaging☆12Updated last month
- ☆17Updated 3 months ago
- ☆13Updated last year
- Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)☆91Updated 9 months ago
- ☆17Updated 11 months ago
- Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution☆16Updated last year
- ☆24Updated last year
- A Python library for biomedical statistical shape and appearance modelling.☆30Updated 5 months ago
- Automating Model Generation For Image-Based Cardiac Flow Simulation☆13Updated 2 months ago
- Code, models and dataset for ICCV 2023 (oral) paper on differentiable volumetric rasterisation of point clouds for 3D registration☆17Updated 6 months ago
- ☆25Updated 4 months ago
- 2d and 3d distance transform based skeletonization☆22Updated 11 months ago
- A deep-learning approach for direct whole-heart mesh reconstruction☆83Updated 2 years ago
- This repository contains the code for the ICCV'2023 paper "4D Myocardium Reconstruction with Decoupled Motion and Shape Model".☆17Updated 4 months ago
- An open-source pelvis atlas is constructed to provide pelvis CT segmentations, statistical shape models, and surgical screw trajectories☆15Updated 5 years ago
- Topological losses for spatially coherent CNN-based (multi-class) image segmentation in 2D and 3D☆21Updated last year
- Source code for the paper: "Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes.", IEEE Access☆24Updated last year
- The source code for the Layer Ensembles paper published in MICCAI 2022 (Singapore).☆26Updated 2 years ago
- Official implantation of: OReX Object Reconstruction from Planar Cross-sections Using Neural Fields☆18Updated last year
- ☆33Updated 2 years ago
- MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision☆71Updated 8 months ago
- shape registration☆110Updated 2 years ago
- Code to implement "Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views"☆20Updated last year