5 citations · 7 across the 2 of their papers we have counts for
4 papers
Differentiable Deconvolution for Improved Stroke Perfusion Analysis
Ezequiel de la Rosa, David Robben, Diana M. Sima +2
Perfusion imaging is the current gold standard for acute ischemic stroke analysis. It allows quantification of the salvageable and non-salvageable tissue regions (penumbra and core…
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…
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…
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans
Ezequiel de la Rosa, Diana M. Sima, Thijs Vande Vyvere +2
Computer Tomography (CT) is the gold standard technique for brain damage evaluation after acute Traumatic Brain Injury (TBI). It allows identification of most lesion types and dete…