BALESTRIERI, ANTONELLA
BALESTRIERI, ANTONELLA
DIPARTIMENTO DI SCIENZE MEDICHE E SANITA' PUBBLICA
A new system of authorship best assessment
2023-01-01 Saba, Luca; Porcu, Michele; De Rubeis, Gianluca; Balestrieri, Antonella; Serra, Alessandra; Carta, Mauro Giovanni
Application of multi-spectral CT imaging in Crohn's disease: a systematic review
2023-01-01 Grassi, Giovanni; Laino, Maria Elena; Kalra, Mannudeep; Cherchi, Maria Valeria; Nicola, Refky; Mannelli, Lorenzo; Balestrieri, Antonella; Suri, Jasjit S; Sala, Evis; Saba, Luca
Epicardial fat volume assessed with cardiac magnetic resonance imaging in patients with Takotsubo cardiomyopathy
2023-01-01 Cau, Riccardo; Bassareo, Pierpaolo; Cademartiri, Filippo; Cadeddu, Christian; Balestrieri, Antonella; Mannelli, Lorenzo; Suri, Jasjit S; Saba, Luca
The human carotid atherosclerotic plaque: an observational review of histological scoring systems
2023-01-01 Gerosa, C.; Cerrone, G.; Suri, J. S.; Aimola, V.; Cau, F.; Coni, P.; Piras, M.; Cau, R.; Balestrieri, A.; Scano, A.; Orru, G.; VAN EYKEN, P.; LA NASA, G.; Coghe, F.; Castagnola, M.; Gibo, Y.; Fanni, D.; Saba, L.
Advanced imaging and Crohn's disease: An overview of clinical application and the added value of artificial intelligence
2022-01-01 Grassi, Giovanni; Laino, Maria Elena; Fantini, Massimo Claudio; Argiolas, Giovanni Maria; Cherchi, Maria Valeria; Nicola, Refky; Gerosa, Clara; Cerrone, Giulia; Mannelli, Lorenzo; Balestrieri, Antonella; Suri, Jasjit S; Carriero, Alessandro; Saba, Luca
Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework
2022-01-01 Jena, B.; Saxena, S.; Nayak, G. K.; Balestrieri, A.; Gupta, N.; Khanna, N. N.; Laird, J. R.; Kalra, M. K.; Fouda, M. M.; Saba, L.; Suri, J. S.
Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/non-COVID-19 Frameworks using Artificial Intelligence Paradigm: A Narrative Review
2022-01-01 Munjral, S.; Maindarkar, M.; Ahluwalia, P.; Puvvula, A.; Jamthikar, A.; Jujaray, T.; Suri, N.; Paul, S.; Pathak, R.; Saba, L.; Chalakkal, R. J.; Gupta, S.; Faa, G.; Singh, I. M.; Chadha, P. S.; Turk, M.; Johri, A. M.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Kolluri, R.; Teji, J.; Al-Maini, M.; Dhanjil, S. K.; Sockalingam, M.; Saxena, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Viswanathan, V.; Krishnan, P. R.; Omerzu, T.; Naidu, S.; Nicolaides, A.; Fouda, M. M.; Suri, J. S.
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study
2022-01-01 Khanna, Narendra N; Maindarkar, Mahesh A; Viswanathan, Vijay; Puvvula, Anudeep; Paul, Sudip; Bhagawati, Mrinalini; Ahluwalia, Puneet; Ruzsa, Zoltan; Sharma, Aditya; Kolluri, Raghu; Krishnan, Padukone R; Singh, Inder M; Laird, John R; Fatemi, Mostafa; Alizad, Azra; Dhanjil, Surinder K; Saba, Luca; Balestrieri, Antonella; Faa, Gavino; Paraskevas, Kosmas I; Misra, Durga Prasanna; Agarwal, Vikas; Sharma, Aman; Teji, Jagjit S; Al-Maini, Mustafa; Nicolaides, Andrew; Rathore, Vijay; Naidu, Subbaram; Liblik, Kiera; Johri, Amer M; Turk, Monika; Sobel, David W; Miner, Martin; Viskovic, Klaudija; Tsoulfas, George; Protogerou, Athanasios D; Mavrogeni, Sophie; Kitas, George D; Fouda, Mostafa M; Kalra, Mannudeep K; Suri, Jasjit S
Carotid Artery Plaque Calcifications: Lessons From Histopathology to Diagnostic Imaging
2022-01-01 Saba, Luca; Nardi, Valentina; Cau, Riccardo; Gupta, Ajay; Kamel, Hooman; Suri, Jasjit S; Balestrieri, Antonella; Congiu, Terenzio; Butler, Anthony P H; Gieseg, Steven; Fanni, Daniela; Cerrone, Giulia; Sanfilippo, Roberto; Puig, Josep; Yang, Qi; Mannelli, Lorenzo; Faa, Gavino; Lanzino, Giuseppe
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung 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.
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.
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID‐19: A Narrative Review
2022-01-01 Suri, J. S.; Maindarkar, M. A.; Paul, S.; Ahluwalia, P.; Bhagawati, M.; Saba, L.; Faa, G.; Saxena, S.; Singh, I. M.; Chadha, P. S.; Turk, M.; Johri, A.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A. D.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Kolluri, R.; Teji, J. S.; Al-maini, M.; Dhanjil, S. K.; Sockalingam, M.; Saxena, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P. R.; Omerzu, T.; Naidu, S.; Nicolaides, A.; Paraskevas, K. I.; Kalra, M.; Ruzsa, Z.; Fouda, M. M.
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.
Long-COVID diagnosis: From diagnostic to advanced AI-driven models
2022-01-01 Cau, R.; Faa, G.; Nardi, V.; Balestrieri, A.; Puig, J.; Suri, J. S.; Sanfilippo, R.; Saba, L.
The role of fetal programming in human carcinogenesis - May the Barker hypothesis explain interindividual variability in susceptibility to cancer insurgence and progression?
2022-01-01 Coghe, F.; Fanni, D.; Gerosa, C.; Ravarino, A.; Mureddu, M.; Cerrone, G.; Coni, P.; Pichiri, G.; Congiu, T.; Piras, M.; Cau, F.; Aimola, V.; Balestrieri, A.; Lai, E.; Manchia, M.; Scano, A.; Orru, G.; La Nasa, G.; Van Eyken, P.; Saba, L.; Scartozzi, M.; Castagnola, M.; Faa, G.
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report
2022-01-01 Khanna, N. N.; Maindarkar, M.; Puvvula, A.; Paul, S.; Bhagawati, M.; Ahluwalia, P.; Ruzsa, Z.; Sharma, A.; Munjral, S.; Kolluri, R.; Krishnan, P. R.; Singh, I. M.; Laird, J. R.; Fatemi, M.; Alizad, A.; Dhanjil, S. K.; Saba, L.; Balestrieri, A.; Faa, G.; Paraskevas, K. I.; Misra, D. P.; Agarwal, V.; Sharma, A.; Teji, J.; Al-Maini, M.; Nicolaides, A.; Rathore, V.; Naidu, S.; Liblik, K.; Johri, A. M.; Turk, M.; Sobel, D. W.; Pareek, G.; Miner, M.; Viskovic, K.; Tsoulfas, G.; Protogerou, A. D.; Mavrogeni, S.; Kitas, G. D.; Fouda, M. M.; Kalra, M. K.; Suri, J. S.
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
2021-01-01 Suri, J. S.; Agarwal, S.; Gupta, S. K.; Puvvula, A.; Biswas, M.; Saba, L.; Bit, A.; Tandel, G. S.; Agarwal, M.; Patrick, A.; Faa, G.; Singh, I. M.; Oberleitner, R.; Turk, M.; Chadha, P. S.; Johri, A. M.; Miguel Sanches, J.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Ahluwalia, P.; Teji, J.; Al-Maini, M.; Dhanjil, S. K.; Sockalingam, M.; Saxena, A.; Nicolaides, A.; Sharma, A.; Rathore, V.; Ajuluchukwu, J. N. A.; Fatemi, M.; Alizad, A.; Viswanathan, V.; Krishnan, P. K.; Naidu, S.
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework
2021-01-01 Biswas, M.; Saba, L.; Omerzu, T.; Johri, A. M.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Balestrieri, A.; Sfikakis, P. P.; Protogerou, A.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Kolluri, R.; Sharma, A.; Viswanathan, V.; Ruzsa, Z.; Nicolaides, A.; Suri, J. S.
COVLIAS 1.0: Lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models
2021-01-01 Suri, J. S.; Agarwal, S.; Pathak, R.; Ketireddy, V.; Columbu, M.; Saba, L.; Gupta, S. K.; Faa, G.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A.; 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.; Frence, N.; Ruzsa, Z.; Gupta, A.; Naidu, S.; Kalra, M.
Fetal programming of atherosclerosis: may the barker hypothesis explain the susceptibility of a subset of patients to develop stroke or cardiac infarct?
2021-01-01 Gerosa, C; Faa, G; Fanni, D; Cerrone, G; Suri, J S; Barcellona, D; Coni, P; Congiu, T; Lai, M L; Piras, M; Cau, F; Coghe, F; Balestrieri, A; Cau, R; Orru', G; Scano, A; Van Eyken, P; La Nasa, G; Campagna, M; Castagnola, M; Gibo, Y; Marongiu, F; Saba, L
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| A new system of authorship best assessment | 1-gen-2023 | Saba, Luca; Porcu, Michele; De Rubeis, Gianluca; Balestrieri, Antonella; Serra, Alessandra; Carta, Mauro Giovanni | JOURNAL OF PUBLIC HEALTH RESEARCH | - |
| Application of multi-spectral CT imaging in Crohn's disease: a systematic review | 1-gen-2023 | Grassi, Giovanni; Laino, Maria Elena; Kalra, Mannudeep; Cherchi, Maria Valeria; Nicola, Refky; Mannelli, Lorenzo; Balestrieri, Antonella; Suri, Jasjit S; Sala, Evis; Saba, Luca | ACTA RADIOLOGICA | - |
| Epicardial fat volume assessed with cardiac magnetic resonance imaging in patients with Takotsubo cardiomyopathy | 1-gen-2023 | Cau, Riccardo; Bassareo, Pierpaolo; Cademartiri, Filippo; Cadeddu, Christian; Balestrieri, Antonella; Mannelli, Lorenzo; Suri, Jasjit S; Saba, Luca | EUROPEAN JOURNAL OF RADIOLOGY | - |
| The human carotid atherosclerotic plaque: an observational review of histological scoring systems | 1-gen-2023 | Gerosa, C.; Cerrone, G.; Suri, J. S.; Aimola, V.; Cau, F.; Coni, P.; Piras, M.; Cau, R.; Balestrieri, A.; Scano, A.; Orru, G.; VAN EYKEN, P.; LA NASA, G.; Coghe, F.; Castagnola, M.; Gibo, Y.; Fanni, D.; Saba, L. | EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES | - |
| Advanced imaging and Crohn's disease: An overview of clinical application and the added value of artificial intelligence | 1-gen-2022 | Grassi, Giovanni; Laino, Maria Elena; Fantini, Massimo Claudio; Argiolas, Giovanni Maria; Cherchi, Maria Valeria; Nicola, Refky; Gerosa, Clara; Cerrone, Giulia; Mannelli, Lorenzo; Balestrieri, Antonella; Suri, Jasjit S; Carriero, Alessandro; Saba, Luca | EUROPEAN JOURNAL OF RADIOLOGY | - |
| Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework | 1-gen-2022 | Jena, B.; Saxena, S.; Nayak, G. K.; Balestrieri, A.; Gupta, N.; Khanna, N. N.; Laird, J. R.; Kalra, M. K.; Fouda, M. M.; Saba, L.; Suri, J. S. | CANCERS | - |
| Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/non-COVID-19 Frameworks using Artificial Intelligence Paradigm: A Narrative Review | 1-gen-2022 | Munjral, S.; Maindarkar, M.; Ahluwalia, P.; Puvvula, A.; Jamthikar, A.; Jujaray, T.; Suri, N.; Paul, S.; Pathak, R.; Saba, L.; Chalakkal, R. J.; Gupta, S.; Faa, G.; Singh, I. M.; Chadha, P. S.; Turk, M.; Johri, A. M.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Kolluri, R.; Teji, J.; Al-Maini, M.; Dhanjil, S. K.; Sockalingam, M.; Saxena, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Viswanathan, V.; Krishnan, P. R.; Omerzu, T.; Naidu, S.; Nicolaides, A.; Fouda, M. M.; Suri, J. S. | DIAGNOSTICS | - |
| Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study | 1-gen-2022 | Khanna, Narendra N; Maindarkar, Mahesh A; Viswanathan, Vijay; Puvvula, Anudeep; Paul, Sudip; Bhagawati, Mrinalini; Ahluwalia, Puneet; Ruzsa, Zoltan; Sharma, Aditya; Kolluri, Raghu; Krishnan, Padukone R; Singh, Inder M; Laird, John R; Fatemi, Mostafa; Alizad, Azra; Dhanjil, Surinder K; Saba, Luca; Balestrieri, Antonella; Faa, Gavino; Paraskevas, Kosmas I; Misra, Durga Prasanna; Agarwal, Vikas; Sharma, Aman; Teji, Jagjit S; Al-Maini, Mustafa; Nicolaides, Andrew; Rathore, Vijay; Naidu, Subbaram; Liblik, Kiera; Johri, Amer M; Turk, Monika; Sobel, David W; Miner, Martin; Viskovic, Klaudija; Tsoulfas, George; Protogerou, Athanasios D; Mavrogeni, Sophie; Kitas, George D; Fouda, Mostafa M; Kalra, Mannudeep K; Suri, Jasjit S | JOURNAL OF CLINICAL MEDICINE | - |
| Carotid Artery Plaque Calcifications: Lessons From Histopathology to Diagnostic Imaging | 1-gen-2022 | Saba, Luca; Nardi, Valentina; Cau, Riccardo; Gupta, Ajay; Kamel, Hooman; Suri, Jasjit S; Balestrieri, Antonella; Congiu, Terenzio; Butler, Anthony P H; Gieseg, Steven; Fanni, Daniela; Cerrone, Giulia; Sanfilippo, Roberto; Puig, Josep; Yang, Qi; Mannelli, Lorenzo; Faa, Gavino; Lanzino, Giuseppe | STROKE | - |
| COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung 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 | - |
| 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 | - |
| Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID‐19: A Narrative Review | 1-gen-2022 | Suri, J. S.; Maindarkar, M. A.; Paul, S.; Ahluwalia, P.; Bhagawati, M.; Saba, L.; Faa, G.; Saxena, S.; Singh, I. M.; Chadha, P. S.; Turk, M.; Johri, A.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A. D.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Kolluri, R.; Teji, J. S.; Al-maini, M.; Dhanjil, S. K.; Sockalingam, M.; Saxena, A.; Sharma, A.; Rathore, V.; Fatemi, M.; Alizad, A.; Krishnan, P. R.; Omerzu, T.; Naidu, S.; Nicolaides, A.; Paraskevas, K. I.; Kalra, M.; Ruzsa, Z.; Fouda, M. M. | 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 | - |
| Long-COVID diagnosis: From diagnostic to advanced AI-driven models | 1-gen-2022 | Cau, R.; Faa, G.; Nardi, V.; Balestrieri, A.; Puig, J.; Suri, J. S.; Sanfilippo, R.; Saba, L. | EUROPEAN JOURNAL OF RADIOLOGY | - |
| The role of fetal programming in human carcinogenesis - May the Barker hypothesis explain interindividual variability in susceptibility to cancer insurgence and progression? | 1-gen-2022 | Coghe, F.; Fanni, D.; Gerosa, C.; Ravarino, A.; Mureddu, M.; Cerrone, G.; Coni, P.; Pichiri, G.; Congiu, T.; Piras, M.; Cau, F.; Aimola, V.; Balestrieri, A.; Lai, E.; Manchia, M.; Scano, A.; Orru, G.; La Nasa, G.; Van Eyken, P.; Saba, L.; Scartozzi, M.; Castagnola, M.; Faa, G. | EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES | - |
| Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report | 1-gen-2022 | Khanna, N. N.; Maindarkar, M.; Puvvula, A.; Paul, S.; Bhagawati, M.; Ahluwalia, P.; Ruzsa, Z.; Sharma, A.; Munjral, S.; Kolluri, R.; Krishnan, P. R.; Singh, I. M.; Laird, J. R.; Fatemi, M.; Alizad, A.; Dhanjil, S. K.; Saba, L.; Balestrieri, A.; Faa, G.; Paraskevas, K. I.; Misra, D. P.; Agarwal, V.; Sharma, A.; Teji, J.; Al-Maini, M.; Nicolaides, A.; Rathore, V.; Naidu, S.; Liblik, K.; Johri, A. M.; Turk, M.; Sobel, D. W.; Pareek, G.; Miner, M.; Viskovic, K.; Tsoulfas, G.; Protogerou, A. D.; Mavrogeni, S.; Kitas, G. D.; Fouda, M. M.; Kalra, M. K.; Suri, J. S. | JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE | - |
| A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence | 1-gen-2021 | Suri, J. S.; Agarwal, S.; Gupta, S. K.; Puvvula, A.; Biswas, M.; Saba, L.; Bit, A.; Tandel, G. S.; Agarwal, M.; Patrick, A.; Faa, G.; Singh, I. M.; Oberleitner, R.; Turk, M.; Chadha, P. S.; Johri, A. M.; Miguel Sanches, J.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Ahluwalia, P.; Teji, J.; Al-Maini, M.; Dhanjil, S. K.; Sockalingam, M.; Saxena, A.; Nicolaides, A.; Sharma, A.; Rathore, V.; Ajuluchukwu, J. N. A.; Fatemi, M.; Alizad, A.; Viswanathan, V.; Krishnan, P. K.; Naidu, S. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework | 1-gen-2021 | Biswas, M.; Saba, L.; Omerzu, T.; Johri, A. M.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Balestrieri, A.; Sfikakis, P. P.; Protogerou, A.; Misra, D. P.; Agarwal, V.; Kitas, G. D.; Kolluri, R.; Sharma, A.; Viswanathan, V.; Ruzsa, Z.; Nicolaides, A.; Suri, J. S. | JOURNAL OF DIGITAL IMAGING | - |
| COVLIAS 1.0: Lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models | 1-gen-2021 | Suri, J. S.; Agarwal, S.; Pathak, R.; Ketireddy, V.; Columbu, M.; Saba, L.; Gupta, S. K.; Faa, G.; Singh, I. M.; Turk, M.; Chadha, P. S.; Johri, A. M.; Khanna, N. N.; Viskovic, K.; Mavrogeni, S.; Laird, J. R.; Pareek, G.; Miner, M.; Sobel, D. W.; Balestrieri, A.; Sfikakis, P. P.; Tsoulfas, G.; Protogerou, A.; 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.; Frence, N.; Ruzsa, Z.; Gupta, A.; Naidu, S.; Kalra, M. | DIAGNOSTICS | - |
| Fetal programming of atherosclerosis: may the barker hypothesis explain the susceptibility of a subset of patients to develop stroke or cardiac infarct? | 1-gen-2021 | Gerosa, C; Faa, G; Fanni, D; Cerrone, G; Suri, J S; Barcellona, D; Coni, P; Congiu, T; Lai, M L; Piras, M; Cau, F; Coghe, F; Balestrieri, A; Cau, R; Orru', G; Scano, A; Van Eyken, P; La Nasa, G; Campagna, M; Castagnola, M; Gibo, Y; Marongiu, F; Saba, L | EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES | - |