Stars
Codes for NUH MRI cervical spine project
TREAT-MMTB 2026 | MICCAI Challenge on AI-driven Cavity Segmentation and Multimodal TB Severity Assessment
TREAT-MMTB 2026 | MICCAI Challenge on AI-driven Cavity Segmentation and Multimodal TB Severity Assessment
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
Free-Text Promptable Universal 3D Medical Image Segmentation
Array format specialized for Machine Learning with Blosc2 backend and standardized metadata.
Surface models of bones created from CT datasets of the open source VSDFullBody database.
3D Slicer extension for fully-automatic segmentation of CT and CBCT dental volumes.
Extension for 3D Slicer containing various tools for module development and debugging
3D Slicer nnUNet integration to streamline usage for nnUNet based AI extensions.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
Code related to the paper "Reliable uncertainty quantification for 2D/3D automatic anatomical landmark localization using multi-output conformal prediction" by Jonkers et al. (2025)
PyTorch-based toolkit for landmark localization
This is the official code of Prior Guided 3D Medical Image Landmark Localization
Automatic cranial base landmarking and bone labeling