Models (2)
Spark3D (S3D)
German Cancer Research Center (DKFZ) / Heidelberg University / Helmholtz Imaging / National Center for Tumor Diseases (NCT) Heidelberg / FLOY / Humanitas University
Released October 30, 2024
34—154
A masked-autoencoder foundation model that pre-trains a 3D Residual Encoder U-Net on ~39k brain MRIs to improve volumetric medical image segmentation.
Imaging
RudolfV
Aignostics / TU Berlin / BIFOLD / Charité – Universitätsmedizin Berlin / German Cancer Research Center (DKFZ) / LMU Munich / Korea University / Max Planck Institute for Informatics
Released January 8, 2024
69——
A self-supervised foundation model for computational pathology, designed with pathologist input and trained on a diverse multi-stain whole-slide image corpus.
Pathology