An algorithm for Parkinson’s disease speech classification based on isolated words analysis

Automatic assessment of speech impairment is a cutting edge topic in Parkinson’s disease (PD). Language disorders are known to occur several years earlier than typical motor symptoms, thus speech analysis may contribute to the early diagnosis of the disease. Moreover, the remote monitoring of dysphonia could allow achieving an effective follow-up of PD clinical condition, possibly performed in the home environment.

Continua a leggereAn algorithm for Parkinson’s disease speech classification based on isolated words analysis

A Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction

Glioma is a type of heterogeneous tumor originating in the brain, characterized by the coexistence of multiple subregions with different phenotypic characteristics, which further determine heterogeneous profiles, likely to respond variably to treatment. Identifying spatial variations of gliomas is necessary for targeted therapy.

Continua a leggereA Two-Stage Atrous Convolution Neural Network for Brain Tumor Segmentation and Survival Prediction

Three-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?

The actual role of landmarks labeling before three-dimensional (3D) facial acquisition is still debated. In this study, several measurements were compared among textured labeled (TL), unlabeled (NL), and untextured (NTL) 3D facial models.

Continua a leggereThree-Dimensional Facial Anthropometric Analysis With and Without Landmark Labelling: Is There a Real Difference?

Fluid-dynamics and biological features of unstable plaques: different shear stress for different plaques

The use of Optical Coherence Tomography (OCT) in acute coronary syndromes (ACS) allows recognizing ruptured fibrous cap (RFC) and intact fibrous cap (IFC) culprit lesions. The biological differences between them, as recently pointed out in translation studies, highlight different mechanisms for a similar clinical manifestation that might deserve different therapeutic approaches. The relationship between endothelial wall shear stress (WSS) and ACS has been demonstrated, however the differences in WSS features between RFC and IFC have not been elucidated.

Continua a leggereFluid-dynamics and biological features of unstable plaques: different shear stress for different plaques

Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob

In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid storyteller robot. Our main goal was to implement the cognitive processes of the agents played by the robot within a narrative context environment.

Continua a leggereExploiting Cognitive Architectures to Design Storytelling Activities for NarRob

Child–display interaction: Lessons learned on touchless avatar-based large display interfaces

During the last decade, touchless gestural interfaces have been widely studied as one of the most promising interaction paradigms in the context of pervasive displays. In particular, avatars and silhouettes have proved to be effective in making the touchless capacity of displays self-evident.

Continua a leggereChild–display interaction: Lessons learned on touchless avatar-based large display interfaces

Development of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project

Despite advances in treatments, 30% to 50% of stage III-IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after treatment. The Big Data to Decide (BD2Decide) project aimed to build a database for prognostic prediction modeling.

Continua a leggereDevelopment of a multiomics database for personalized prognostic forecasting in head and neck cancer: The Big Data to Decide EU Project

3D reconstruction of coronary artery bifurcations from coronary angiography and optical coherence tomography: feasibility, validation, and reproducibility

The three-dimensional (3D) representation of the bifurcation anatomy and disease burden is essential for better understanding of the anatomical complexity of bifurcation disease and planning of stenting strategies.

Continua a leggere3D reconstruction of coronary artery bifurcations from coronary angiography and optical coherence tomography: feasibility, validation, and reproducibility

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