xmed-lab / DIF-Gaussian
MICCAI 2024: Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction
☆46Updated 7 months ago
Alternatives and similar repositories for DIF-Gaussian:
Users that are interested in DIF-Gaussian are comparing it to the libraries listed below
- CVPR 2024, "C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction"☆36Updated 4 months ago
- MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction☆71Updated last year
- Row-Column Scanned Neural Signed Distance Fields for Freehand 3D ultrasound Imaging Shape Reconstruction☆28Updated 3 months ago
- "Neural Attenuation Fields for Sparse-View CBCT Reconstruction" (MICCAI 2022 Oral)☆136Updated 3 months ago
- Generative Enhancement for 3D Medical Images☆62Updated 8 months ago
- [TMI 2024] Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction☆26Updated 3 weeks ago
- VPAL: Vessel Probability Guided Attenuation Learning☆11Updated 4 months ago
- [CVPR 2024] This repository includes the official implementation our paper "MicroDiffusion: Implicit Representation-Guided Diffusion for …☆40Updated 9 months ago
- Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction☆93Updated last year
- "Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)☆110Updated 2 weeks ago
- ☆17Updated last year
- ☆52Updated last year
- ☆22Updated last year
- [NeurIPS 2023] Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction☆31Updated last week
- MICCAI 2023: FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images☆33Updated last year
- ☆97Updated last year
- Code for the paper "Preserving Volume for Unsupervised Registration" (ICCV 2023 Poster)☆13Updated 8 months ago
- Reconstructing a 3D volume from 2D freehand ultrasound images by training a deep network to implicitly represent the volume.☆35Updated last year
- Code for the MIDL 2022 paper Implicit Neural Representations for Deformable Image Registration☆43Updated 7 months ago
- Self-supervised learning enables excellent 3D digital subtraction angiography reconstruction from ultra-sparse 2D projection views☆24Updated 2 years ago
- MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision☆74Updated 10 months ago
- [IEEE TCI] Self-Supervised Coordinate Projection Network for Sparse-View Computed Tomography☆20Updated last year
- Discover the repository for "ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting," a pioneering study that…☆17Updated 2 months ago
- Source Code for our MICCAI Paper: Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations.☆26Updated last year
- [MICCAI 2024] LGS: A Light-weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction☆50Updated 4 months ago
- MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation☆49Updated last year
- Official implementation of the paper "Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains"☆59Updated last year
- Reimplementation of "A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology".☆16Updated 2 years ago
- ☆20Updated last month