291 citations
- Universitat de BarcelonaES3 papers
- Eötvös Loránd UniversityHU2 papers
- GFZ Helmholtz Centre for GeosciencesDE2 papers
- Leibniz Institute of Freshwater Ecology and Inland FisheriesDE2 papers
- Universitat de GironaES2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Alberta Children's HospitalCA1 paper
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
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eess.IV2023★ 26 cited
MAM-E: Mammographic synthetic image generation with diffusion models
Ricardo Montoya-del-Angel, Karla Sam-Millan, Joan C Vilanova +1
Generative models are used as an alternative data augmentation technique to alleviate the data scarcity problem faced in the medical imaging field. Diffusion models have gathered s…
eess.IV2021★ 16 cited
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29
This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…