BALESTRIERI, ANTONELLA
BALESTRIERI, ANTONELLA
DIPARTIMENTO DI SCIENZE MEDICHE E SANITA' PUBBLICA
Carotid artery calcium score: Definition, classification, application, and limits
2024-01-01 Saba, Luca; Benson, John C; Scicolone, Roberta; Paraskevas, Kosmas I; Gupta, Ajay; Cau, Riccardo; Suri, Jasjit S; Schindler, Andreas; Balestrieri, Antonella; Nardi, Valentina; Song, Jae W; Wintermark, Max; Lanzino, Giuseppe
Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography
2024-01-01 Pisu, Francesco; Williamson, Brady J.; Nardi, Valentina; Paraskevas, Kosmas I.; Puig, Josep; Vagal, Achala; de Rubeis, Gianluca; Porcu, Michele; Cau, Riccardo; Benson, John C.; Balestrieri, Antonella; Lanzino, Giuseppe; Suri, Jasjit S.; Mahammedi, Abdelkader; Saba, Luca
Pericarotid Fat as a Marker of Cerebrovascular Risk
2024-01-01 Cau, Riccardo; Anzalone, Nicoletta; Mannelli, Lorenzo; Edjlali, Myriam; Balestrieri, Antonella; Nardi, Valentina; Lanzino, Giuseppe; Lerman, Amir; Suri, Jasjit S.; Saba, Luca
Photon-Counting Computed Tomography in Atherosclerotic Plaque Characterization
2024-01-01 Cau, Riccardo; Saba, Luca; Balestrieri, Antonella; Meloni, Antonella; Mannelli, Lorenzo; La Grutta, Ludovico; Bossone, Eduardo; Mantini, Cesare; Politi, Carola; Suri, Jasjit S.; Cavaliere, Carlo; Punzo, Bruna; Maffei, Erica; Cademartiri, Filippo
Structural Brain MR Imaging Alterations in Patients with Systemic Lupus Erythematosus with and without Neuropsychiatric Events
2024-01-01 Vacca, S.; Porcu, M.; Piga, M.; Mannelli, L.; Chessa, E.; Suri, J. S.; Balestrieri, A.; Cauli, A.; Saba, L.
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.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Carotid artery calcium score: Definition, classification, application, and limits | 1-gen-2024 | Saba, Luca; Benson, John C; Scicolone, Roberta; Paraskevas, Kosmas I; Gupta, Ajay; Cau, Riccardo; Suri, Jasjit S; Schindler, Andreas; Balestrieri, Antonella; Nardi, Valentina; Song, Jae W; Wintermark, Max; Lanzino, Giuseppe | THE NEURORADIOLOGY JOURNAL | - |
| Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography | 1-gen-2024 | Pisu, Francesco; Williamson, Brady J.; Nardi, Valentina; Paraskevas, Kosmas I.; Puig, Josep; Vagal, Achala; de Rubeis, Gianluca; Porcu, Michele; Cau, Riccardo; Benson, John C.; Balestrieri, Antonella; Lanzino, Giuseppe; Suri, Jasjit S.; Mahammedi, Abdelkader; Saba, Luca | CIRCULATION. CARDIOVASCULAR IMAGING | - |
| Pericarotid Fat as a Marker of Cerebrovascular Risk | 1-gen-2024 | Cau, Riccardo; Anzalone, Nicoletta; Mannelli, Lorenzo; Edjlali, Myriam; Balestrieri, Antonella; Nardi, Valentina; Lanzino, Giuseppe; Lerman, Amir; Suri, Jasjit S.; Saba, Luca | AJNR, AMERICAN JOURNAL OF NEURORADIOLOGY | - |
| Photon-Counting Computed Tomography in Atherosclerotic Plaque Characterization | 1-gen-2024 | Cau, Riccardo; Saba, Luca; Balestrieri, Antonella; Meloni, Antonella; Mannelli, Lorenzo; La Grutta, Ludovico; Bossone, Eduardo; Mantini, Cesare; Politi, Carola; Suri, Jasjit S.; Cavaliere, Carlo; Punzo, Bruna; Maffei, Erica; Cademartiri, Filippo | DIAGNOSTICS | - |
| Structural Brain MR Imaging Alterations in Patients with Systemic Lupus Erythematosus with and without Neuropsychiatric Events | 1-gen-2024 | Vacca, S.; Porcu, M.; Piga, M.; Mannelli, L.; Chessa, E.; Suri, J. S.; Balestrieri, A.; Cauli, A.; Saba, L. | AJNR, AMERICAN JOURNAL OF NEURORADIOLOGY | - |
| 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 | - |