integrating-multi-modal-neuroimaging

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun

Multimodal Fully Convolutional Neural networks for Semantic Segmentation.

Train AI models efficiently on medical images using any framework

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

Deep Learning Toolkit for Medical Image Analysis

Advanced Normalization Tools (ANTs)

dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

A Comparative Framework for Multimodal Recommender Systems

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"