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
6 papers
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…
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…
Measuring night sky brightness: methods and challenges
Andreas Hänel, Thomas Posch, Salvador J. Ribas +10
Measuring the brightness of the night sky has become an increasingly important topic in recent years, as artificial lights and their scattering by the Earths atmosphere continue sp…
Imaging and mapping the impact of clouds on skyglow with all-sky photometry
Andreas Jechow, Zoltán Kolláth, Salvador J. Ribas +3
Artificial skyglow is constantly growing on a global scale, with potential ecological consequences ranging up to affecting biodiversity. To understand these consequences, worldwide…
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach
Sergi Valverde, Mariano Cabezas, Eloy Roura +7
In this paper, we present a novel automated method for White Matter (WM) lesion segmentation of Multiple Sclerosis (MS) patient images. Our approach is based on a cascade of two 3D…
Ideograms for Physics and Chemistry
Pablo García-Risueño, Apostolos Syropoulos, Natalia Verges
Ideograms (symbols that represent a word or idea) have great communicative value. They refer to concepts in a simple manner, easing the understanding of related ideas. Moreover, id…