| Economics of artificial intelligence in healthcare: diagnosis vs. treatment NN Khanna, MA Maindarkar, V Viswanathan, JFE Fernandes, S Paul, ... Healthcare 10 (12), 2493, 2022 | 139 | 2022 |
| COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review JS Suri, A Puvvula, M Biswas, M Majhail, L Saba, G Faa, IM Singh, ... Computers in biology and medicine 124, 103960, 2020 | 124 | 2020 |
| 3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated … SS Skandha, SK Gupta, L Saba, VK Koppula, AM Johri, NN Khanna, ... Computers in Biology and Medicine 125, 103958, 2020 | 85 | 2020 |
| A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence JS Suri, S Agarwal, SK Gupta, A Puvvula, M Biswas, L Saba, A Bit, ... Computers in Biology and Medicine 130, 104210, 2021 | 81 | 2021 |
| A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes A Jamthikar, D Gupta, NN Khanna, L Saba, T Araki, K Viskovic, HS Suri, ... Cardiovascular diagnosis and therapy 9 (5), 420, 2019 | 81 | 2019 |
| Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application L Saba, SS Sanagala, SK Gupta, VK Koppula, AM Johri, NN Khanna, ... Annals of translational medicine 9 (14), 2021 | 75 | 2021 |
| Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited? L Saba, A Jamthikar, D Gupta, NN Khanna, K Viskovic, HS Suri, A Gupta, ... International angiology 38 (6), 451-465, 2019 | 70 | 2019 |
| Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models A Jamthikar, D Gupta, L Saba, NN Khanna, T Araki, K Viskovic, ... Cardiovascular diagnosis and therapy 10 (4), 919, 2020 | 68 | 2020 |
| Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular … M Biswas, L Saba, S Chakrabartty, NN Khanna, H Song, HS Suri, ... Computers in biology and medicine 123, 103847, 2020 | 68 | 2020 |
| Systematic review of artificial intelligence in acute respiratory distress syndrome for COVID-19 lung patients: a biomedical imaging perspective JS Suri, S Agarwal, SK Gupta, A Puvvula, K Viskovic, N Suri, A Alizad, ... IEEE Journal of Biomedical and Health Informatics 25 (11), 4128-4139, 2021 | 66 | 2021 |
| Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound AD Jamthikar, D Gupta, L Saba, NN Khanna, K Viskovic, S Mavrogeni, ... Computers in biology and medicine 126, 104043, 2020 | 60 | 2020 |
| A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework M Biswas, L Saba, T Omerzu, AM Johri, NN Khanna, K Viskovic, ... Journal of digital imaging 34 (3), 581-604, 2021 | 59 | 2021 |
| 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 … M Agarwal, S Agarwal, L Saba, GL Chabert, S Gupta, A Carriero, ... Computers in biology and medicine 146, 105571, 2022 | 54 | 2022 |
| Ultrasound-based carotid stenosis measurement and risk stratification in diabetic cohort: a deep learning paradigm L Saba, M Biswas, HS Suri, K Viskovic, JR Laird, E Cuadrado-Godia, ... Cardiovascular diagnosis and therapy 9 (5), 439, 2019 | 52 | 2019 |
| COVLIAS 2.0-cXAI: Cloud-based explainable deep learning system for COVID-19 lesion localization in computed tomography scans JS Suri, S Agarwal, GL Chabert, A Carriero, A Paschè, PSC Danna, ... Diagnostics 12 (6), 1482, 2022 | 49 | 2022 |
| Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial L Saba, SK Banchhor, HS Suri, ND Londhe, T Araki, N Ikeda, K Viskovic, ... Computers in biology and medicine 75, 217-234, 2016 | 49 | 2016 |
| Intra-and inter-operator reproducibility of automated cloud-based carotid lumen diameter ultrasound measurement L Saba, SK Banchhor, T Araki, K Viskovic, ND Londhe, JR Laird, HS Suri, ... Indian heart journal 70 (5), 649-664, 2018 | 48 | 2018 |
| COVLIAS 1.0: lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models JS Suri, S Agarwal, R Pathak, V Ketireddy, M Columbu, L Saba, SK Gupta, ... Diagnostics 11 (8), 1405, 2021 | 46 | 2021 |
| Five strategies for bias estimation in artificial intelligence-based hybrid deep learning for acute respiratory distress syndrome COVID-19 lung infected patients using AP (ai … JS Suri, S Agarwal, B Jena, S Saxena, A El-Baz, V Agarwal, MK Kalra, ... IEEE Transactions on Instrumentation and Measurement, 2022 | 42 | 2022 |
| Patient radiation doses in the most common interventional cardiology procedures in Croatia: first results Z Brnić, T Krpan, D Faj, D Kubelka, JP Ramač, D Posedel, R Steiner, ... Radiation protection dosimetry 138 (2), 180-186, 2010 | 42 | 2010 |
