4 citations · 7 across the 4 of their papers we have counts for
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eess.IV2022★ 1 cited
Efficient brain age prediction from 3D MRI volumes using 2D projections
Johan Jönemo, Muhammad Usman Akbar, Robin Kämpe +2
Using 3D CNNs on high resolution medical volumes is very computationally demanding, especially for large datasets like the UK Biobank which aims to scan 100,000 subjects. Here we d…
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…