63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sahlgrenska University HospitalSE2 papers
- AIT Austrian Institute of Technology GmbHAT1 paper
- Gdańsk University of TechnologyPL1 paper
- Halmstad UniversitySE1 paper
- Mälardalen UniversitySE1 paper
- Swedish Armed ForcesSE1 paper
- Tallinn University of TechnologyEE1 paper
- Universität UlmDE1 paper
- University College LondonGB1 paper
Showing 2022 · eess.IVShow all
2 papers · 2 filters
eess.IV2022★ 8 cited
GAN-based generative modelling for dermatological applications -- comparative study
Sandra Carrasco Limeros, Sylwia Majchrowska, Mohamad Khir Zoubi +4
The lack of sufficiently large open medical databases is one of the biggest challenges in AI-powered healthcare. Synthetic data created using Generative Adversarial Networks (GANs)…
eess.IV2022★ 27 cited
The (de)biasing effect of GAN-based augmentation methods on skin lesion images
Agnieszka Mikołajczyk, Sylwia Majchrowska, Sandra Carrasco Limeros
New medical datasets are now more open to the public, allowing for better and more extensive research. Although prepared with the utmost care, new datasets might still be a source…