Model ID: 00023_PIX2PIXHD_BREAST_DCEMRI. Uploaded via: API Tags: ['dce-mri', 'postcontrast', 'synthesis', 'breast', 'mri', 'treatment', 'i2i', 'pix2pixHD', 'SPIE'] Usage: This GAN is used as part of the medigan library. This GANs metadata is therefore stored in and retrieved from medigan's config file. medigan is an open-source Python library on Github that allows developers and researchers to easily add synthetic imaging data into their model training pipelines. medigan is documented here and can be used via pip install: pip install medigan To run this model in medigan, use the following commands. from medigan import Generators generators = Generators() generators.generate(model_id='00023_PIX2PIXHD_BREAST_DCEMRI',num_samples=10) Description from model config:: {"title": "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation", "provided_date": "11.2023", "trained_date": "2023", "provided_after_epoch": 30, "version": "1.0", "publication": "https://doi.org/10.48550/arXiv.2311.10879", "doi": ["https://doi.org/10.48550/arXiv.2311.10879"], "inputs": ["pre-contrast t1-weighted breast mri"], "comment": "2d breast mri slice by slice generation of postcontrast data"}