Toumanidou T, Noailly J, Ceresa M, Zhang C, López-Linares K, Macía I, González Ballester M.A. Patient-specific modeling of unruptured human abdominal aortic aneurysms using deformable hexahedral meshes. International Journal of Computer Assisted Radiology and Surgery
We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.
The MdM Strategic Research Program has its own community in Zenodo for material available in this repository
as well as at the UPF e-repository 
. Below a non-exhaustive list of datasets representative of the research in the Department.
As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)
Toumanidou T, Noailly J, Ceresa M, Zhang C, López-Linares K, Macía I, González Ballester M.A. Patient-specific modeling of unruptured human abdominal aortic aneurysms using deformable hexahedral meshes. International Journal of Computer Assisted Radiology and Surgery
Toumanidou T, Noailly J, Ceresa M, Zhang C, López-Linares K, Macía I, González Ballester M.A. Patient-specific modeling of unruptured human abdominal aortic aneurysms using deformable hexahedral meshes. International Journal of Computer Assisted Radiology and Surgery, vol. 12, Suppl. 1 (CARS 2017)
Abdominal aortic aneurysm (AAA) disease is a pathological dilation of the aorta involving degeneration of the wall and can lead to aneurysmal rupture with a 90% mortality rate. Although the maximum transverse AAA diameter (DMAX) is the most commonly used predictor of rupture risk and warrants surgery for DMAX>5.5 cm, the reported rupture for smaller aneurysms is up to 23%. Instead, wall stresses obtained through finite element (FE) models that consider the heterogeneous and anisotropic behavior of the wall layers were suggested as a more accurate rupture predictor. Our goal is the generation of patient-specific volumetric FE meshes of unruptured AAA via open-source and automatic workflows aiming to address the following challenges: -Structured hexahedral meshes are required for mesh convergence in the radial direction -Thrombus and outer wall segmentation is challenging because of lack of contrast and fuzzy borders -The workflow should involve few if any manual operations -Ideally, open-source libraries would allow for adaptation of the workflow to any geometry