Gemma Piella

TL;DR: A new framework for segmentation of micro-CT cochlear images using random walks is proposed, where a region term estimated by a Gaussian mixture model is combined with a shape prior initially obtained by a statistical shape model (SSM).

TL;DR: The results show that the sequence and weight of the training samples play an important role in the optimization process of CNNs, and proximal femur fracture classification is improved up to the performance of experienced trauma surgeons.

TL;DR: In this paper, a multiview dimensionality reduction technique was used to capture patterns of response to cardiac stress-testing using a low-dimensional trajectory of patient response to stress, regarding multiple features over consecutive cycles.

TL;DR: The obtained results when applying the proposed methodology on a set of 8 cases show statistically significant differences between the average deformation values of the scar, border zone and normal myocardial tissue areas, thus demonstrating the feasibility of detecting changes in deformation between normal and non-healthy tissue from electro-anatomical maps.

TL;DR: This paper focuses on the extraction of atlas-based biomarkers for the detection of local shape or motion abnormalities, addressing several cardiac applications where the extracted information is used to study and grade different pathologies.