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Stars
A comprehensive codebase for training and finetuning Image <> Latent models.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…
A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding
[ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.
Official pytorch implementation of "AlphaFlow: Understanding and Improving MeanFlow Models"
A markup-based typesetting system that is powerful and easy to learn.
Toy implementation simplified consistency models using the TrigFlow formulation.
PETPrep: A Robust Preprocessing Pipeline for PET Data
Official implementation of "SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions".
Synthstrip integration to be used across nipreps
Repository of the paper "AnyUp: Universal Feature Upsampling".
BM-MAE: Multimodal Masked Autoencoder Pre-training for 3D MRI-based Brain Tumor Analysis with Missing Modalities
Merlin is a 3D VLM for computed tomography that leverages both structured electronic health records (EHR) and unstructured radiology reports for pretraining.
This is a PyTorch implementation of BrainMVP for mpMRI brain image analysis.
Code for MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis (MICCAI2025)
Official PyTorch Implementation of "Diffusion Transformers with Representation Autoencoders"
Tools to automate simple manipulations and measurements of medical images and segmentations in nifti format.
Build reliable Gen AI solutions without overhead 🍕
DL tool for white matter hyperintensities segmentation
U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking
[npj Digital Medicine] A generalizable 3D framework and model for self-supervised learning in medical imaging