A collection of pre-trained, state-of-the-art models in the ONNX format

Cell2Sentence: Teaching Large Language Models the Language of Biology

HoVer-Net inference code for simultaneous nuclear segmentation and classification

[Medical Image Analysis] Adversarial Data Augmentation with Chained Differentiable Transformations (AdvChain)

Scripts to benchmark and train foldseek

[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Code for ST_IGI package

[MICCAI 2020 Oral] Realistic Adversarial Data Augmentation for MR Image Segmentation

LeeQ is a python package for orchestrating pulse sequences for quantum computing experiment with easy to use syntax.