CARRIERO, ANDREA
CARRIERO, ANDREA
DIPARTIMENTO DI SCIENZE ECONOMICHE ED AZIENDALI
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
2022-01-01 Suri, J. S.; Agarwal, S.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P. S. C.; Saba, L.; Mehmedovic, A.; Faa, G.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A. D.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Teji, J. S.; Al-Maini, M.; Dhanjil, S. K.; Nicolaides, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P. R.; Nagy, F.; Ruzsa, Z.; Fouda, M. M.; Naidu, S.; Viskovic, K.; Kalra, M. K.
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
2022-01-01 Agarwal, M.; Agarwal, S.; Saba, L.; Chabert, G. L.; Gupta, S.; Carriero, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Faa, G.; Shrivastava, S.; Jain, K.; Jain, H.; Jujaray, T.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Mavrogeni, S.; Laird, J. R.; Sobel, D. W.; Miner, M.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Teji, J. S.; Al-Maini, M.; Dhanjil, S. K.; Nicolaides, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P. R.; Yadav, R. R.; Nagy, F.; Kincses, Z. T.; Ruzsa, Z.; Naidu, S.; Viskovic, K.; Kalra, M. K.; Suri, J. S.
Non-invasive coronary imaging in patients with COVID-19: A narrative review
2022-01-01 Onnis, C.; Muscogiuri, G.; Paolo Bassareo, P.; Cau, R.; Mannelli, L.; Cadeddu, C.; Suri, J. S.; Cerrone, G.; Gerosa, C.; Sironi, S.; Faa, G.; Carriero, A.; Pontone, G.; Saba, L.
Role of imaging in rare COVID-19 vaccine multiorgan complications
2022-01-01 Cau, R.; Mantini, C.; Monti, L.; Mannelli, L.; Di Dedda, E.; Mahammedi, A.; Nicola, R.; Roubil, J.; Suri, J. S.; Cerrone, G.; Fanni, D.; Faa, G.; Carriero, A.; Scuteri, A.; Francone, M.; Saba, L.
Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia
2021-01-01 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.
Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: mitigating key radioprotection issues
2021-01-01 Ebrahimian, S.; Oliveira, Bernardo M.; Moscatelli, A.; Tapajos, J.; Leitao Tapajos, L.; Jamil Khoury, H.; Babaei, R.; Karimi Mobin, H.; Mohsen, i. I.; Arru, C.; Carriero, A.; Falaschi, Z.; Pasche, A.; Saba, L.; Homayounieh, F.; Bizzo, B. C.; Vassileva, J.; Kalra, M. K.
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs
2021-01-01 Saba, L.; Agarwal, M.; Patrick, A.; Puvvula, A.; Gupta, S. K.; Carriero, A.; Laird, J. R.; Kitas, G. D.; Johri, A. M.; Balestrieri, A.; Falaschi, Z.; Pasche, A.; Viswanathan, V.; El-Baz, A.; Alam, I.; Jain, A.; Naidu, S.; Oberleitner, R.; Khanna, N. N.; Bit, A.; Fatemi, M.; Alizad, A.; Suri, J. S.
Whole-body MRI in rheumatology: Major advances and future perspectives
2021-01-01 Deplano, L.; Piga, M.; Porcu, M.; Stecco, A.; Suri, J. S.; Mannelli, L.; Cauli, A.; Carriero, A.; Saba, L.
Extracranial Carotid Artery Stenosis: The Effects on Brain and Cognition with a Focus on Resting-State Functional Connectivity
2020-01-01 Porcu, M.; Cocco, L.; Saloner, D.; Suri, J. S.; Montisci, R.; Carriero, A.; Saba, L.
Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
---|---|---|---|---|
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans | 1-gen-2022 | Suri, J. S.; Agarwal, S.; Chabert, G. L.; Carriero, A.; Pasche, A.; Danna, P. S. C.; Saba, L.; Mehmedovic, A.; Faa, G.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A. D.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Teji, J. S.; Al-Maini, M.; Dhanjil, S. K.; Nicolaides, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P. R.; Nagy, F.; Ruzsa, Z.; Fouda, M. M.; Naidu, S.; Viskovic, K.; Kalra, M. K. | DIAGNOSTICS | - |
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0 | 1-gen-2022 | Agarwal, M.; Agarwal, S.; Saba, L.; Chabert, G. L.; Gupta, S.; Carriero, A.; Pasche, A.; Danna, P.; Mehmedovic, A.; Faa, G.; Shrivastava, S.; Jain, K.; Jain, H.; Jujaray, T.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Mavrogeni, S.; Laird, J. R.; Sobel, D. W.; Miner, M.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Teji, J. S.; Al-Maini, M.; Dhanjil, S. K.; Nicolaides, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P. R.; Yadav, R. R.; Nagy, F.; Kincses, Z. T.; Ruzsa, Z.; Naidu, S.; Viskovic, K.; Kalra, M. K.; Suri, J. S. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
Non-invasive coronary imaging in patients with COVID-19: A narrative review | 1-gen-2022 | Onnis, C.; Muscogiuri, G.; Paolo Bassareo, P.; Cau, R.; Mannelli, L.; Cadeddu, C.; Suri, J. S.; Cerrone, G.; Gerosa, C.; Sironi, S.; Faa, G.; Carriero, A.; Pontone, G.; Saba, L. | EUROPEAN JOURNAL OF RADIOLOGY | - |
Role of imaging in rare COVID-19 vaccine multiorgan complications | 1-gen-2022 | Cau, R.; Mantini, C.; Monti, L.; Mannelli, L.; Di Dedda, E.; Mahammedi, A.; Nicola, R.; Roubil, J.; Suri, J. S.; Cerrone, G.; Fanni, D.; Faa, G.; Carriero, A.; Scuteri, A.; Francone, M.; Saba, L. | INSIGHTS INTO IMAGING | - |
Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia | 1-gen-2021 | 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. | CLINICAL IMAGING | - |
Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: mitigating key radioprotection issues | 1-gen-2021 | Ebrahimian, S.; Oliveira, Bernardo M.; Moscatelli, A.; Tapajos, J.; Leitao Tapajos, L.; Jamil Khoury, H.; Babaei, R.; Karimi Mobin, H.; Mohsen, i. I.; Arru, C.; Carriero, A.; Falaschi, Z.; Pasche, A.; Saba, L.; Homayounieh, F.; Bizzo, B. C.; Vassileva, J.; Kalra, M. K. | PHYSICA MEDICA | - |
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs | 1-gen-2021 | Saba, L.; Agarwal, M.; Patrick, A.; Puvvula, A.; Gupta, S. K.; Carriero, A.; Laird, J. R.; Kitas, G. D.; Johri, A. M.; Balestrieri, A.; Falaschi, Z.; Pasche, A.; Viswanathan, V.; El-Baz, A.; Alam, I.; Jain, A.; Naidu, S.; Oberleitner, R.; Khanna, N. N.; Bit, A.; Fatemi, M.; Alizad, A.; Suri, J. S. | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | - |
Whole-body MRI in rheumatology: Major advances and future perspectives | 1-gen-2021 | Deplano, L.; Piga, M.; Porcu, M.; Stecco, A.; Suri, J. S.; Mannelli, L.; Cauli, A.; Carriero, A.; Saba, L. | DIAGNOSTICS | - |
Extracranial Carotid Artery Stenosis: The Effects on Brain and Cognition with a Focus on Resting-State Functional Connectivity | 1-gen-2020 | Porcu, M.; Cocco, L.; Saloner, D.; Suri, J. S.; Montisci, R.; Carriero, A.; Saba, L. | JOURNAL OF NEUROIMAGING | - |