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A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
2022-01-01 Skandha, S. S.; Nicolaides, A.; Gupta, S. K.; Koppula, V. K.; Saba, L.; Johri, A. M.; Kalra, M. S.; Suri, J. S.
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes
2019-01-01 Jamthikar, Ankush; Gupta, Deep; Khanna, Narendra N; Saba, Luca; Araki, Tadashi; Viskovic, Klaudija; Suri, Harman S; Gupta, Ajay; Mavrogeni, Sophie; Turk, Monika; Laird, John R; Pareek, Gyan; Miner, Martin; Sfikakis, Petros P; Protogerou, Athanasios; Kitas, George D; Viswanathan, Vijay; Nicolaides, Andrew; Bhatt, Deepak L; Suri, Jasjit S
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study
2022-01-01 Jamthikar, A.; Gupta, D.; Johri, A. M.; Mantella, L. E.; Saba, L.; Suri, J. S.
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records
2021-01-01 Gong, K.; Wu, D.; Arru, C. D.; Homayounieh, F.; Neumark, N.; Guan, J.; Buch, V.; Kim, K.; Bizzo, B. C.; Ren, H.; Tak, W. Y.; Park, S. Y.; Lee, Y. R.; Kang, M. K.; Park, J. G.; Carriero, A.; Saba, L.; Masjedi, M.; Talari, H.; Babaei, R.; Mobin, H. K.; Ebrahimian, S.; Guo, N.; Digumarthy, S. R.; Dayan, I.; Kalra, M. K.; Li, Q.
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 new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens
2016-01-01 Araki, Tadashi; Ikeda, Nobutaka; Shukla, Devarshi; Londhe, Narendra D.; Shrivastava, Vimal K.; Banchhor, Sumit K.; Saba, Luca; Nicolaides, Andrew; Shafique, Shoaib; Laird, John R.; Suri, Jasjit S.
A new system of authorship best assessment
2023-01-01 Saba, Luca; Porcu, Michele; De Rubeis, Gianluca; Balestrieri, Antonella; Serra, Alessandra; Carta, Mauro Giovanni
A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort
2021-01-01 Agarwal, M.; Saba, L.; Gupta, S. K.; Carriero, A.; Falaschi, Z.; Pasche, A.; Danna, P.; El-Baz, A.; Naidu, S.; Suri, J. S.
A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool
2023-01-01 Saba, Luca; Maindarkar, Mahesh; Khanna, Narendra N; Johri, Amer M; Mantella, Laura; Laird, John R; Paraskevas, Kosmas I; Ruzsa, Zoltan; Kalra, Manudeep K; Fernandes, Jose Fernandes E; Chaturvedi, Seemant; Nicolaides, Andrew; Rathore, Vijay; Singh, Narpinder; Fouda, Mostafa M; Isenovic, Esma R; Al-Maini, Mustafa; Viswanathan, Vijay; Suri, Jasjit S
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
2022-01-01 Suri, J. S.; Bhagawati, M.; Paul, S.; Protogerou, A. D.; Sfikakis, P. P.; Kitas, G. D.; Khanna, N. N.; Ruzsa, Z.; Sharma, A. M.; Saxena, S.; Faa, G.; Laird, J. R.; Johri, A. M.; Kalra, M. K.; Paraskevas, K. I.; Saba, L.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework | 1-gen-2022 | Skandha, S. S.; Nicolaides, A.; Gupta, S. K.; Koppula, V. K.; Saba, L.; Johri, A. M.; Kalra, M. S.; Suri, J. S. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes | 1-gen-2019 | Jamthikar, Ankush; Gupta, Deep; Khanna, Narendra N; Saba, Luca; Araki, Tadashi; Viskovic, Klaudija; Suri, Harman S; Gupta, Ajay; Mavrogeni, Sophie; Turk, Monika; Laird, John R; Pareek, Gyan; Miner, Martin; Sfikakis, Petros P; Protogerou, Athanasios; Kitas, George D; Viswanathan, Vijay; Nicolaides, Andrew; Bhatt, Deepak L; Suri, Jasjit S | CARDIOVASCULAR DIAGNOSIS AND THERAPY | - |
| A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study | 1-gen-2022 | Jamthikar, A.; Gupta, D.; Johri, A. M.; Mantella, L. E.; Saba, L.; Suri, J. S. | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records | 1-gen-2021 | Gong, K.; Wu, D.; Arru, C. D.; Homayounieh, F.; Neumark, N.; Guan, J.; Buch, V.; Kim, K.; Bizzo, B. C.; Ren, H.; Tak, W. Y.; Park, S. Y.; Lee, Y. R.; Kang, M. K.; Park, J. G.; Carriero, A.; Saba, L.; Masjedi, M.; Talari, H.; Babaei, R.; Mobin, H. K.; Ebrahimian, S.; Guo, N.; Digumarthy, S. R.; Dayan, I.; Kalra, M. K.; Li, Q. | EUROPEAN JOURNAL OF RADIOLOGY | - |
| 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 new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens | 1-gen-2016 | Araki, Tadashi; Ikeda, Nobutaka; Shukla, Devarshi; Londhe, Narendra D.; Shrivastava, Vimal K.; Banchhor, Sumit K.; Saba, Luca; Nicolaides, Andrew; Shafique, Shoaib; Laird, John R.; Suri, Jasjit S. | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | - |
| 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 | - |
| A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort | 1-gen-2021 | Agarwal, M.; Saba, L.; Gupta, S. K.; Carriero, A.; Falaschi, Z.; Pasche, A.; Danna, P.; El-Baz, A.; Naidu, S.; Suri, J. S. | JOURNAL OF MEDICAL SYSTEMS | - |
| A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool | 1-gen-2023 | Saba, Luca; Maindarkar, Mahesh; Khanna, Narendra N; Johri, Amer M; Mantella, Laura; Laird, John R; Paraskevas, Kosmas I; Ruzsa, Zoltan; Kalra, Manudeep K; Fernandes, Jose Fernandes E; Chaturvedi, Seemant; Nicolaides, Andrew; Rathore, Vijay; Singh, Narpinder; Fouda, Mostafa M; Isenovic, Esma R; Al-Maini, Mustafa; Viswanathan, Vijay; Suri, Jasjit S | FRONTIERS IN BIOSCIENCE | - |
| A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review | 1-gen-2022 | Suri, J. S.; Bhagawati, M.; Paul, S.; Protogerou, A. D.; Sfikakis, P. P.; Kitas, G. D.; Khanna, N. N.; Ruzsa, Z.; Sharma, A. M.; Saxena, S.; Faa, G.; Laird, J. R.; Johri, A. M.; Kalra, M. K.; Paraskevas, K. I.; Saba, L. | DIAGNOSTICS | - |
Legenda icone
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- file disponibili sulla rete interna
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Opzioni
Scopri
Tipologia
- 1 Contributo su Rivista 588
- 1 Contributo su Rivista::1.1 Arti... 582
- 1 Contributo su Rivista::1.5 Abst... 5
- 1 Contributo su Rivista::1.2 Rece... 1
Data di pubblicazione
- 2020 - 2024 300
- 2010 - 2019 253
- 2007 - 2009 35
Rivista
- EUROPEAN JOURNAL OF RADIOLOGY 30
- COMPUTERS IN BIOLOGY AND MEDICINE 28
- AJNR, AMERICAN JOURNAL OF NEURORA... 26
- DIAGNOSTICS 23
- CARDIOVASCULAR DIAGNOSIS AND THERAPY 17
- EUROPEAN RADIOLOGY 15
- JOURNAL OF MEDICAL SYSTEMS 12
- CARDIOVASCULAR AND INTERVENTIONAL... 10
- CLINICAL RADIOLOGY 10
- EUROPEAN REVIEW FOR MEDICAL AND P... 10
Keyword
- Humans 42
- Stroke 36
- COVID-19 35
- Atherosclerosis 33
- Radiology 32
- Deep learning 23
- Female 23
- Machine learning 22
- Artificial intelligence 21
- Male 21
Lingua
- eng 540
- ita 6
Accesso al fulltext
- no fulltext 232
- reserved 191
- open 145
- partially open 15
- mixed 3
- embargoed 2