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[TPAMI 2025] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Harmonization of multi-site imaging data with ComBat (Python)
pyComBat is a Python 3 implementation of ComBat, one of the most widely used tool for correcting technical biases, called batch effects, in microarray expression data.
Lectures for INFO8010 Deep Learning, ULiège
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
[Nature Machine Intelligence 2024] Code and evaluation repository for the paper
BiomedParse: A Foundation Model for Joint Segmentation, Detection, and Recognition of Biomedical Objects Across Nine Modalities
3D Slicer Plugin for Segment anything in medical images
CT-FM: A 3D Image-Based Foundation Model for Computed Tomography
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.
MedSAM2: Segment Anything in 3D Medical Images and Videos
Segment Anything in Medical Images
Harmonization of multi-site imaging data with ComBat
An Addon for QuPath to analyse Lymphome with AI
Survival analysis built on top of scikit-learn
QuPath extension for Segment Anything Model (SAM)
A simple LaTeX template for Technical Reports, arXiv preprints & 2-column Conference papers
A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A Python toolkit for pathology image analysis algorithms.
Image augmentation for machine learning experiments.
Interactive Tools for Machine Learning, Deep Learning and Math