194 citations · 335 across the 5 of their papers we have counts for
6 papers
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
Moritz Roman Hernandez Petzsche, Ezequiel de la Rosa, Uta Hanning +22
Magnetic resonance imaging (MRI) is a central modality for stroke imaging. It is used upon patient admission to make treatment decisions such as selecting patients for intravenous…
An augmentation strategy to mimic multi-scanner variability in MRI
Maria Ines Meyer, Ezequiel de la Rosa, Nuno Barros +3
Most publicly available brain MRI datasets are very homogeneous in terms of scanner and protocols, and it is difficult for models that learn from such data to generalize to multi-c…
Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data
Mattias Billast, Maria Ines Meyer, Diana M. Sima +1
The evaluation of white matter lesion progression is an important biomarker in the follow-up of MS patients and plays a crucial role when deciding the course of treatment. Current…
Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors
Maria Ines Meyer, Ezequiel de la Rosa, Koen Van Leemput +1
With the increased need for multi-center magnetic resonance imaging studies, problems arise related to differences in hardware and software between centers. Namely, current algorit…
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Adrian Galdran, Aitor Alvarez-Gila, Maria Ines Meyer +7
Dermoscopic skin images are often obtained with different imaging devices, under varying acquisition conditions. In this work, instead of attempting to perform intensity and color…
Towards Adversarial Retinal Image Synthesis
Pedro Costa, Adrian Galdran, Maria Inês Meyer +4
Synthesizing images of the eye fundus is a challenging task that has been previously approached by formulating complex models of the anatomy of the eye. New images can then be gene…