Nicola Amoroso
Datos Biográficos
| ID | 7968010 |
|---|---|
| NOMBRE | Nicola Amoroso |
| NOMBRES | Nicola |
| APELLIDO | Amoroso |
| FIRMA | AMOROSO N |
| AFILIACIONES | Ospedale Pediatrico Giovanni XXIII |
| ORCID | 0000-0003-0211-0783 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2021 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Beyond summer fires
Forest fire regimes in Europe are evolving due to complex interactions between climate change, land use, and management strategies. Traditionally concentrated in Mediterranean countries during the summer, fire activity is increasingly affecting regions and periods not historically considered at risk. In this study, we analyzed 20 years (2001–2020) of satellite-derived weekly forest fire data across five European biogeographical regions—Mediterran…
Air pollution and mortality for cancer of the respiratory system in Italy
Respiratory system cancer, encompassing lung, trachea and bronchus cancer, constitute a substantial and evolving public health challenge. Since pollution plays a prominent cause in the development of this disease, identifying which substances are most harmful is fundamental for implementing policies aimed at reducing exposure to these substances. We propose an approach based on explainable artificial intelligence (XAI) based on remote sensing dat…
Brain Age Prediction With Morphological Features Using Deep Neural Networks
Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods. In this work, we present the results of the predict…
Sin obras prominentes en esta página.
Brain Age Prediction With Morphological Features Using Deep Neural Networks
Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods. In this work, we present the results of the predict…
Air pollution and mortality for cancer of the respiratory system in Italy
Respiratory system cancer, encompassing lung, trachea and bronchus cancer, constitute a substantial and evolving public health challenge. Since pollution plays a prominent cause in the development of this disease, identifying which substances are most harmful is fundamental for implementing policies aimed at reducing exposure to these substances. We propose an approach based on explainable artificial intelligence (XAI) based on remote sensing dat…
Beyond summer fires
Forest fire regimes in Europe are evolving due to complex interactions between climate change, land use, and management strategies. Traditionally concentrated in Mediterranean countries during the summer, fire activity is increasingly affecting regions and periods not historically considered at risk. In this study, we analyzed 20 years (2001–2020) of satellite-derived weekly forest fire data across five European biogeographical regions—Mediterran…
Artificial Intelligence (2 obras) · Computer Science (2 obras) · Machine learning (2 obras) · Advanced Neuroimaging Techniques and Applications (1 obras) · Air Quality and Health Impacts (1 obras) · Air Quality Monitoring and Forecasting (1 obras) · Artificial neural network (1 obras) · Boreal (1 obras) · Cancer (1 obras) · Chart (1 obras)