3 citations · 5 across the 2 of their papers we have counts for
2 papers
eess.IV2023★ 3 cited
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models
Muhammad Usman Akbar, Måns Larsson, Anders Eklund
Large annotated datasets are required for training deep learning models, but in medical imaging data sharing is often complicated due to ethics, anonymization and data protection l…
cs.CV2022★ 2 cited
Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?
Måns Larsson, Muhammad Usman Akbar, Anders Eklund
Large annotated datasets are required to train segmentation networks. In medical imaging, it is often difficult, time consuming and expensive to create such datasets, and it may al…