Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Alessio, Paschè"'
Autor:
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Viskovic, Mannudeep K. Kalra
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1482 (2022)
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for understanding lesion localization. This study presents a cloud-based explainable AI, the “COVLIAS
Externí odkaz:
https://doaj.org/article/724250641a304ca5bdab585ac56026fe
Autor:
Riccardo Cau, Zeno Falaschi, Alessio Paschè, Pietro Danna, Roberto Arioli, Chiara D. Arru, Domenico Zagaria, Stefano Tricca, Jasjit S. Suri, Mannudeep K. Karla, Alessandro Carriero, Luca Saba
Publikováno v:
Journal of Public Health Research (2021)
Background: In December 2019, a cluster of unknown etiology pneumonia cases occurred in Wuhan, China leading to identification of the responsible pathogen as SARS-coV-2. Since then, the coronavirus disease 2019 (COVID-19) has spread to the entire wor
Externí odkaz:
https://doaj.org/article/79dfc00ac05a4b2e9577b964b9fd24e2
Autor:
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1283 (2022)
Background: COVID-19 is a disease with multiple variants, and is quickly spreading throughout the world. It is crucial to identify patients who are suspected of having COVID-19 early, because the vaccine is not readily available in certain parts of t
Externí odkaz:
https://doaj.org/article/268fd15b09df4bcab5e7a5ee785a7054
Autor:
Jasjit S. Suri, Sushant Agarwal, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Marta Columbu, Luca Saba, Klaudija Viskovic, Armin Mehmedović, Samriddhi Agarwal, Lakshya Gupta, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Archna Gupta, Subbaram Naidu, Kosmas I. Paraskevas, Mannudeep K. Kalra
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2367 (2021)
(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were semiautomated or automated but not accurate, user-friendly, and industry-standard b
Externí odkaz:
https://doaj.org/article/2e838515d7944bbcbd64e268a0465992
Autor:
Jasjit S. Suri, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro Danna, Armin Mehmedović, Gavino Faa, Tanay Jujaray, Inder M. Singh, Narendra N. Khanna, John R. Laird, Petros P. Sfikakis, Vikas Agarwal, Jagjit S. Teji, Rajanikant R Yadav, Ferenc Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Klaudija Viskovic, Mannudeep K. Kalra
Publikováno v:
Journal of Medical Systems. 46
Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and crazy paving can compromise the ability of solo-deep learning (SDL) or hybrid-deep learning (HDL) artificial intelligence (AI) models in predicting automated COV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::febf9d41aa793bf34730a1d7898b8d48
https://doi.org/10.1007/s10916-022-01850-y
https://doi.org/10.1007/s10916-022-01850-y
Autor:
Alessandro Carriero, Shadi Ebrahimian, Helen J. Khoury, Alessio Paschè, Mônica Oliveira Bernardo, Rosa Babaei, Jenia Vassileva, Iman Mohseni, Zeno Falaschi, Luciano Leitão Tapajós, Chiara Arru, Hadi Karimi Mobin, Fatemeh Homayounieh, Antônio Alberto Moscatelli, Juliana Santana de Melo Tapajós, Luca Saba, Bernardo Bizzo, Mannudeep K. Kalra
Publikováno v:
Physica Medica
Purpose Optimization of CT scan practices can help achieve and maintain optimal radiation protection. The aim was to assess centering, scan length, and positioning of patients undergoing chest CT for suspected or known COVID-19 pneumonia and to inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd56b3d3a21985fc06354f63c0d7dfec
https://doi.org/10.1016/j.ejmp.2021.04.001
https://doi.org/10.1016/j.ejmp.2021.04.001
Autor:
Jasjit S, Suri, Sushant, Agarwal, Gian Luca, Chabert, Alessandro, Carriero, Alessio, Paschè, Pietro S C, Danna, Luca, Saba, Armin, Mehmedović, Gavino, Faa, Inder M, Singh, Monika, Turk, Paramjit S, Chadha, Amer M, Johri, Narendra N, Khanna, Sophie, Mavrogeni, John R, Laird, Gyan, Pareek, Martin, Miner, David W, Sobel, Antonella, Balestrieri, Petros P, Sfikakis, George, Tsoulfas, Athanasios D, Protogerou, Durga Prasanna, Misra, Vikas, Agarwal, George D, Kitas, Jagjit S, Teji, Mustafa, Al-Maini, Surinder K, Dhanjil, Andrew, Nicolaides, Aditya, Sharma, Vijay, Rathore, Mostafa, Fatemi, Azra, Alizad, Pudukode R, Krishnan, Ferenc, Nagy, Zoltan, Ruzsa, Mostafa M, Fouda, Subbaram, Naidu, Klaudija, Viskovic, Manudeep K, Kalra
Publikováno v:
Diagnostics (Basel, Switzerland). 12(5)
COVID-19 is a disease with multiple variants, and is quickly spreading throughout the world. It is crucial to identify patients who are suspected of having COVID-19 early, because the vaccine is not readily available in certain parts of the world.Lun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d3596b03a5f6f0cf422fe5a70dd787bf
https://pubmed.ncbi.nlm.nih.gov/35626438
https://pubmed.ncbi.nlm.nih.gov/35626438
Autor:
Shadi Ebrahimian, Mannudeep K. Kalra, Felix Durlak, Jens Erik Nielsen-Kudsk, Mads Dam Lyhne, Mathis Zimmermann, Luca Saba, Jacob Valentin Hansen, Matthias Mitschke, Zeno Falaschi, Alessio Paschè, Chiara Arru, Alessandro Carriero
Publikováno v:
Arru, C, Ebrahimian, S, Falaschi, Z, Hansen, J V, Pasche, A, Lyhne, M D, Zimmermann, M, Durlak, F, Mitschke, M, Carriero, A, Nielsen-Kudsk, J E, Kalra, M K & Saba, L 2021, ' Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia ', Clinical Imaging, vol. 80, pp. 58-66 . https://doi.org/10.1016/j.clinimag.2021.06.036
Clinical Imaging
Clinical Imaging
PURPOSE: Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for predicting outcome (death or recovery) and intensive care unit (ICU) admission in patients with severe acute respiratory syndrome coronavirus 2 (SARS-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65f0ca98994df3f8f386a4ee6ce334f
https://pure.au.dk/portal/da/publications/comparison-of-deep-learning-radiomics-and-subjective-assessment-of-chest-ct-findings-in-sarscov2-pneumonia(7f47e006-8b29-44ae-8439-e401d3ed14c2).html
https://pure.au.dk/portal/da/publications/comparison-of-deep-learning-radiomics-and-subjective-assessment-of-chest-ct-findings-in-sarscov2-pneumonia(7f47e006-8b29-44ae-8439-e401d3ed14c2).html
Autor:
Massimiliano, Leigheb, Giuseppe, Guzzardi, Michela, Barini, Michele, Abruzzese, Silvia, Riva, Alessio, Paschè, Francesco, Pogliacomi, Lia, Rimondini, Alessandro, Stecco, Federico, Alberto Grassi, Alessandro, Carriero
Publikováno v:
Acta bio-medica : Atenei Parmensis
Objective: The aim of this work is to evaluate the diagnostic accuracy of 0.3T sectoral MR imaging, compared with arthroscopy, for meniscal, cruciate ligaments and chondral knee lesions. Materials and Methods: We conducted a retrospective study analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::585eaf22cdb771fd41062021fccdba53
http://europepmc.org/articles/PMC6503414
http://europepmc.org/articles/PMC6503414
Autor:
Alessio Paschè, Stefano Tricca, Pietro Danna, Mannudeep K Karla, Domenico Zagaria, Riccardo Cau, Zeno Falaschi, Luca Saba, Chiara Arru, Roberto Arioli, Alessandro Carriero, Jasjit S. Suri
Publikováno v:
Journal of Public Health Research (2021)
Background In December 2019, a cluster of unknown etiology pneumonia cases occurred in Wuhan, China leading to identification of the responsible pathogen as SARS-coV-2. Since then, the coronavirus disease 2019 (COVID-19) has spread to the entire worl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fc9404501276ef687da63514303f183
https://jphres.org/index.php/jphres/article/view/2270
https://jphres.org/index.php/jphres/article/view/2270