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Computers in Biology and Medicine
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September 24, 2023
A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
International Journal of Environmental Research and Public Health
|
December 16, 2020
SARS-CoV-2 Infections and COVID-19 Fatality: Estimation of Infection Fatality Ratio and Current Prevalence
Marco Pota, Andrea Pota, Maria Luisa Sirico, et al.
Computers in Biology and Medicine
|
November 5, 2023
Generating a novel synthetic dataset for rehabilitation exercises using pose-guided conditioned diffusion models: A quantitative and qualitative evaluation
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Heliyon
|
February 22, 2024
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Computers in Biology and Medicine
|
April 8, 2023
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy
Rosario Catelli, Serena Pelosi, Carmela Comito, et al.
Rivista Di Psichiatria
|
February 11, 2012
[The reciprocity rule in the construction of relationships as the key in relational processes]
Antonio Fenelli, Cecilia Volpi, Emanuele Guarracino, et al.
Computers in Biology and Medicine
|
November 14, 2021
A conversational agent for querying Italian Patient Information Leaflets and improving health literacy
Aniello Minutolo, Emanuele Damiano, Giuseppe De Pietro, et al.
Scientific Reports
|
November 8, 2023
Best practices for portfolio optimization by quantum computing, experimented on real quantum devices
Giuseppe Buonaiuto, Francesco Gargiulo, Giuseppe De Pietro, et al.
IEEE Access : Practical Innovations, Open Solutions
|
November 17, 2021
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records
Rosario Catelli, Francesco Gargiulo, Valentina Casola, et al.
Applied Soft Computing
|
October 14, 2020
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set
Rosario Catelli, Francesco Gargiulo, Valentina Casola, et al.
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Search research articles
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Showing results (11-20 of 34) with videos related to
Sort By:
Page
of 4
Computers in Biology and Medicine
|
September 24, 2023
A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
International Journal of Environmental Research and Public Health
|
December 16, 2020
SARS-CoV-2 Infections and COVID-19 Fatality: Estimation of Infection Fatality Ratio and Current Prevalence
Marco Pota, Andrea Pota, Maria Luisa Sirico, et al.
Computers in Biology and Medicine
|
November 5, 2023
Generating a novel synthetic dataset for rehabilitation exercises using pose-guided conditioned diffusion models: A quantitative and qualitative evaluation
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Heliyon
|
February 22, 2024
Ethical and regulatory challenges of AI technologies in healthcare: A narrative review
Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro, et al.
Computers in Biology and Medicine
|
April 8, 2023
Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy
Rosario Catelli, Serena Pelosi, Carmela Comito, et al.
Rivista Di Psichiatria
|
February 11, 2012
[The reciprocity rule in the construction of relationships as the key in relational processes]
Antonio Fenelli, Cecilia Volpi, Emanuele Guarracino, et al.
Computers in Biology and Medicine
|
November 14, 2021
A conversational agent for querying Italian Patient Information Leaflets and improving health literacy
Aniello Minutolo, Emanuele Damiano, Giuseppe De Pietro, et al.
Scientific Reports
|
November 8, 2023
Best practices for portfolio optimization by quantum computing, experimented on real quantum devices
Giuseppe Buonaiuto, Francesco Gargiulo, Giuseppe De Pietro, et al.
IEEE Access : Practical Innovations, Open Solutions
|
November 17, 2021
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records
Rosario Catelli, Francesco Gargiulo, Valentina Casola, et al.
Applied Soft Computing
|
October 14, 2020
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set
Rosario Catelli, Francesco Gargiulo, Valentina Casola, et al.
Page
of 4