MedVAE is a family of largescale, generalizable 2D and 3D variational autoencoders (VAEs) designed to address critical efficiency and storage challenges in medical imaging. Trained on over one million images across multiple modalities and anatomical regions, MedVAE excels at encoding highresolutio
