Revitalizing regression activities through modern training procedures. Applications in medical image analysis
This work describes an approach to estimate the percentage of COVID-19-specific infection in lung tissue.
Visit our Scientific Research Area: a section dedicated to professionals in the field, where you can find official resources—official documents, publications, and advanced research—on the scientific research topics of the synbrAIn team.
Speech Impairment in Parkinson’s Disease: Acoustic Analysis of Unvoiced Consonants in Italian Native Speakers
The study of the influence of Parkinson’s Disease (PD) on vocal signals has received much attention over the last decades. Increasing interest has been devoted to articulation and acoustic characterization of different phonemes.
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.
EMoCy: Towards Physiological Signals-Based Stress Detection
Early detection of stress can prevent long-term consequences for people's health, the economy, and society.
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.
COVID Detection in Chest CTs: Improving the Baseline on COV19-CT-DB
The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs.
DECAY CLASSIFICATION USING ARTIFICIAL INTELLIGENCE
DECAY uses machine learning algorithms to identify materials, deterioration, or surface defects in an object in a semi-automated manner.
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.
A Smart Assistant for Visual Recognition of Painted Scenes
Nowadays, smart devices allow people to easily interact with the surrounding environment thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi.
Photogrammetric Survey for a Fast Construction of Synthetic Dataset
In this work we show how Physically Based Rendering tools can be used to extend the training image datasets of Machine Learning algorithms.
