Please find our public repositories here, which showcase our work on AI in healthcare.
Useful links:
- About us
- We also host many of our algorithms on grand-challenge.org where you can try them out. Contact us if you'd like to gain access.
Please find our public repositories here, which showcase our work on AI in healthcare.
Useful links:
Code for training and inference of a 3D CNN for whole-heart segmentation in CCTA
Example code for making an inference algorithm for the AIROGS challenge
Autoencoding of low-resolution MRI for Super-Resolution of anisotropic MRI
UBIX is a method to improve the generalizability of classification models, by introducing built-in robustness to dataset-specific (out-of-distribution) artifacts, without requiring any additional t…
Python 5
PyTorch implementation of the Bounding Box Network (BoBNet) from the ConvNet-Based Localization of Anatomical Structures in 3D Medical Images paper.
Repository for paper on stochastic co-teaching
Code from TMI paper "Deep learning-based regression and classification for automatic landmark localization in medical images".
UBIX is a method to improve the generalizability of classification models, by introducing built-in robustness to dataset-specific (out-of-distribution) artifacts, without requiring any additional training (supervised or unsupervised) on data with such artifacts.
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