Search Results - "D'Amico, Natascha"

Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays by Guarrasi, Valerio, D’Amico, Natascha Claudia, Sicilia, Rosa, Cordelli, Ermanno, Soda, Paolo

“…•On the use of chest X-ray to identify patients suffering from COVID-19.•Pareto-based multi-objective optimization to set up best multi-expert…”
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AI applications to medical images: From machine learning to deep learning by Castiglioni, Isabella, Rundo, Leonardo, Codari, Marina, Di Leo, Giovanni, Salvatore, Christian, Interlenghi, Matteo, Gallivanone, Francesca, Cozzi, Andrea, D'Amico, Natascha Claudia, Sardanelli, Francesco

“…•Strategies how to develop AI applications as clinical decision support systems are provided.•We focus on differences between radiomic machine learning and…”
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AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study by Soda, Paolo, D’Amico, Natascha Claudia, Tessadori, Jacopo, Valbusa, Giovanni, Guarrasi, Valerio, Bortolotto, Chandra, Akbar, Muhammad Usman, Sicilia, Rosa, Cordelli, Ermanno, Fazzini, Deborah, Cellina, Michaela, Oliva, Giancarlo, Callea, Giovanni, Panella, Silvia, Cariati, Maurizio, Cozzi, Diletta, Miele, Vittorio, Stellato, Elvira, Carrafiello, Gianpaolo, Castorani, Giulia, Simeone, Annalisa, Preda, Lorenzo, Iannello, Giulio, Del Bue, Alessio, Tedoldi, Fabio, Alí, Marco, Sona, Diego, Papa, Sergio

“…•Early identification of severe outcome risks in COVID-19 patient.•3 AI algorithms using handcrafted features or deep neuronal networks.•Extensive evaluation…”
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Artificial Intelligence in Emergency Radiology: Where Are We Going? by Cellina, Michaela, Cè, Maurizio, Irmici, Giovanni, Ascenti, Velio, Caloro, Elena, Bianchi, Lorenzo, Pellegrino, Giuseppe, D'Amico, Natascha, Papa, Sergio, Carrafiello, Gianpaolo

“…Emergency Radiology is a unique branch of imaging, as rapidity in the diagnosis and management of different pathologies is essential to saving patients' lives…”
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A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI by D’Amico, Natascha C., Grossi, Enzo, Valbusa, Giovanni, Rigiroli, Francesca, Colombo, Bernardo, Buscema, Massimo, Fazzini, Deborah, Ali, Marco, Malasevschi, Ala, Cornalba, Gianpaolo, Papa, Sergio

“…Background Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging (MRI) through radiomic signature. Methods Forty-five…”
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Development of Predictive Models for the Response of Vestibular Schwannoma Treated with Cyberknife ® : A Feasibility Study Based on Radiomics and Machine Learning by Bossi Zanetti, Isa, De Martin, Elena, Pascuzzo, Riccardo, D'Amico, Natascha Claudia, Morlino, Sara, Cane, Irene, Aquino, Domenico, Alì, Marco, Cellina, Michaela, Beltramo, Giancarlo, Fariselli, Laura

“…to predict vestibular schwannoma (VS) response to radiosurgery by applying machine learning (ML) algorithms on radiomic features extracted from pre-treatment…”
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Ultrasound Elastography: Basic Principles and Examples of Clinical Applications with Artificial Intelligence—A Review by Cè, Maurizio, D'Amico, Natascha Claudia, Danesini, Giulia Maria, Foschini, Chiara, Oliva, Giancarlo, Martinenghi, Carlo, Cellina, Michaela

“…Ultrasound elastography (USE) or elastosonography is an ultrasound-based, non-invasive imaging method for assessing tissue elasticity. The different types of…”
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Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest by D’Amico, Natascha Claudia, Sicilia, Rosa, Cordelli, Ermanno, Tronchin, Lorenzo, Greco, Carlo, Fiore, Michele, Carnevale, Alessia, Iannello, Giulio, Ramella, Sara, Soda, Paolo

“…Lung cancer accounts for the largest amount of deaths worldwide with respect to the other oncological pathologies. To guarantee the most effective cure to…”
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A Decision Support System Based on BI-RADS and Radiomic Classifiers to Reduce False Positive Breast Calcifications at Digital Breast Tomosynthesis: A Preliminary Study by Alì, Marco, D’Amico, Natascha Claudia, Interlenghi, Matteo, Maniglio, Marina, Fazzini, Deborah, Schiaffino, Simone, Salvatore, Christian, Castiglioni, Isabella, Papa, Sergio

“…Digital breast tomosynthesis (DBT) studies were introduced as a successful help for the detection of calcification, which can be a primary sign of cancer…”
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A Multi-Expert System to Detect COVID-19 Cases in X-ray Images by Guarrasi, Valerio, D'Amico, Natascha Claudia, Sicilia, Rosa, Cordelli, Ermanno, Soda, Paolo

“…The year 2020 was marked by the worldwide COVID-19 pandemic, which caused over 2.5 million deaths by the end of February 2021. Different methods have been…”
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AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study by Soda, Paolo, D'Amico, Natascha Claudia, Tessadori, Jacopo, Valbusa, Giovanni, Guarrasi, Valerio, Bortolotto, Chandra, Akbar, Muhammad Usman, Sicilia, Rosa, Cordelli, Ermanno, Fazzini, Deborah, Cellina, Michaela, Oliva, Giancarlo, Callea, Giovanni, Panella, Silvia, Cariati, Maurizio, Cozzi, Diletta, Miele, Vittorio, Stellato, Elvira, Carrafiello, Gianpaolo, Castorani, Giulia, Simeone, Annalisa, Preda, Lorenzo, Iannello, Giulio, Del Bue, Alessio, Tedoldi, Fabio, Alí, Marco, Sona, Diego, Papa, Sergio

“…Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease…”
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Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study by DrAmico, Natascha Claudia, Sicilia, Rosa, Cordelli, Ermanno, Valbusa, Giovanni, Grossi, Enzo, Zanetti, Isa Bossi, Beltramo, Giancarlo, Fazzini, Deborah, Scotti, Giuseppe, Iannello, Giulio, Soda, Paolo

“…Vestibular schwannomas, also known as acoustic neuromas, are a primary intracranial tumor of the myelin-forming cells of the 8 th cranial nerve. Stereotactic…”
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AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study by Soda, Paolo, D'Amico, Natascha Claudia, Tessadori, Jacopo, Valbusa, Giovanni, Guarrasi, Valerio, Bortolotto, Chandra, Akbar, Muhammad Usman, Sicilia, Rosa, Cordelli, Ermanno, Fazzini, Deborah, Cellina, Michaela, Oliva, Giancarlo, Callea, Giovanni, Panella, Silvia, Cariati, Maurizio, Cozzi, Diletta, Miele, Vittorio, Stellato, Elvira, Carrafiello, Gian Paolo, Castorani, Giulia, Simeone, Annalisa, Preda, Lorenzo, Iannello, Giulio, Del Bue, Alessio, Tedoldi, Fabio, Alì, Marco, Sona, Diego, Papa, Sergio

“…Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease…”
Get full text