AImageLab-zip / ToothFairyLinks
Repository relative to the ToothFairy challenges, MICCAI2023, MICCAI2024, and MICCAI2025
☆41Updated 4 months ago
Alternatives and similar repositories for ToothFairy
Users that are interested in ToothFairy are comparing it to the libraries listed below
Sorting:
- This repository contains the material from the paper "Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagatio…☆35Updated last year
- Champion Solution of MICCAI FAIRY2023 Challenge based on Self-training with Selective Re-training.☆27Updated last year
- Landmark detection engine for 3D medical images (MICCAI workshop 2021)☆46Updated 3 months ago
- MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision☆82Updated last year
- [MICCAI 2023] Multi-View Vertebra Localization and Identification from CT Images☆37Updated last year
- SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI☆113Updated 11 months ago
- ☆31Updated 2 years ago
- Automatic segmentation of CBCT scans with a 3D Unet☆56Updated 3 years ago
- Source code for the paper: "Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes.", IEEE Access☆25Updated 3 years ago
- A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography☆184Updated 6 months ago
- ☆23Updated last year
- [CVPR 2024] Intraoperative 2D/3D registration via differentiable X-ray rendering☆163Updated 7 months ago
- [MICCAI'23] Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset☆39Updated 2 months ago
- this is the official link to request CTooth☆107Updated 2 years ago
- ☆46Updated 11 months ago
- A foundation model for universal 3D blood vessel segmentation. Paper accepted @ CVPR25.☆134Updated last week
- Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"☆104Updated 8 months ago
- NeurIPS 2023 - Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration☆40Updated last year
- [MICCAI 2021] You Only Learn Once: Universal Anatomical Landmark Detection https://arxiv.org/abs/2103.04657☆91Updated 8 months ago
- Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterat…☆79Updated this week
- Automatic landmark identification in CBCT scans☆34Updated 3 years ago
- ☆22Updated last year
- A 3D medical Detection Transformer library. Papers accepted @ MIDL22 & MELBA23/02.☆70Updated last year
- [MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans☆67Updated 10 months ago
- ☆17Updated 2 years ago
- A deep-learning approach for direct whole-heart mesh reconstruction☆93Updated 3 years ago
- XiaoweiXu / ImageCAS-A-Large-Scale-Dataset-and-Benchmark-for-Coronary-Artery-Segmentation-based-on-CT☆79Updated 2 years ago
- Official repository of MICCAI 2023 TDSC-ABUS challenge☆17Updated 10 months ago
- Official code for "Oneshot Medical Landmark Detection' (MICCAI 2021 early accepted)☆53Updated 2 years ago
- Resources of the paper “Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models”.☆166Updated 3 years ago