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20182022
most citedFeeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN

5 citations · 16 across the 5 of their papers we have counts for

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cs.CV20205 cited

Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE

Mehdi Foroozandeh, Anders Eklund

Training segmentation networks requires large annotated datasets, but manual annotation is time consuming and costly. We here investigate if the combination of a noise-to-image GAN…

cs.CV2020

Vox2Vox: 3D-GAN for Brain Tumour Segmentation

Marco Domenico Cirillo, David Abramian, Anders Eklund

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histological sub-regions, i.e., perit…

cs.CV2018

Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs

Sevil Maghsadhagh, Mousa Shamsi, Anders Eklund +1

The human brain cortical layer has a convoluted morphology that is unique to each individual. Characterization of the cortical morphology is necessary in longitudinal studies of st…

cs.CV2018

Refacing: reconstructing anonymized facial features using GANs

David Abramian, Anders Eklund

Anonymization of medical images is necessary for protecting the identity of the test subjects, and is therefore an essential step in data sharing. However, recent developments in d…

cs.CV2018

Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks

Xuan Gu, Hans Knutsson, Markus Nilsson +1

Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive microstructure assessment technique. Scalar measures, such as FA (fractional anisotropy) and MD (mean diffusi…

cs.CV2018

Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT

Per Welander, Simon Karlsson, Anders Eklund

In medical imaging, a general problem is that it is costly and time consuming to collect high quality data from healthy and diseased subjects. Generative adversarial networks (GANs…