| 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 |
| 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 |
| 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 |
| UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable artificial … JS Suri, M Bhagawati, S Agarwal, S Paul, A Pandey, SK Gupta, L Saba, ... Ieee Access 11, 595-645, 2022 | 51 | 2022 |
| Ten fast transfer learning models for carotid ultrasound plaque tissue characterization in augmentation framework embedded with heatmaps for stroke risk stratification SS Sanagala, A Nicolaides, SK Gupta, VK Koppula, L Saba, S Agarwal, ... Diagnostics 11 (11), 2109, 2021 | 51 | 2021 |
| 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 |
| 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 |
| Inter-variability study of COVLIAS 1.0: hybrid deep learning models for COVID-19 lung segmentation in computed tomography JS Suri, S Agarwal, P Elavarthi, R Pathak, V Ketireddy, M Columbu, ... Diagnostics 11 (11), 2025, 2021 | 28 | 2021 |
| Ensemble deep learning derived from transfer learning for classification of COVID-19 patients on hybrid deep-learning-based lung segmentation: a data augmentation and balancing … AK Dubey, GL Chabert, A Carriero, A Pasche, PSC Danna, S Agarwal, ... Diagnostics 13 (11), 1954, 2023 | 27 | 2023 |
| COVLIAS 1.0 vs. MedSeg: artificial intelligence-based comparative study for automated COVID-19 computed tomography lung segmentation in Italian and Croatian cohorts JS Suri, S Agarwal, A Carriero, A Paschè, PSC Danna, M Columbu, ... Diagnostics 11 (12), 2367, 2021 | 27 | 2021 |
| COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans JS Suri, S Agarwal, GL Chabert, A Carriero, A Paschè, PSC Danna, ... Diagnostics 12 (5), 1283, 2022 | 22 | 2022 |
| Multicenter study on COVID-19 lung computed tomography segmentation with varying glass ground opacities using unseen deep learning artificial intelligence paradigms: COVLIAS 1 … JS Suri, S Agarwal, L Saba, GL Chabert, A Carriero, A Paschè, P Danna, ... Journal of Medical Systems 46 (10), 62, 2022 | 16 | 2022 |
| Cardiovascular disease/stroke risk stratification in deep learning framework: a review M Bhagawati, S Paul, S Agarwal, A Protogeron, PP Sfikakis, GD Kitas, ... Cardiovascular Diagnosis and Therapy 13 (3), 557, 2023 | 11 | 2023 |
| COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography S Agarwal, S Saxena, A Carriero, GL Chabert, G Ravindran, S Paul, ... Frontiers in Artificial Intelligence 7, 1304483, 2024 | 3 | 2024 |
| COVLIAS 3.0 XEDL: Multicentre, Cloud-Based, Explainable Ensemble Artificial Intelligence Deep Learning System for COVID-19 in Computed Tomography Scans AK Dubey, S Agarwal, GL Chabert, P Sanga, J Laird, IM Singh, MK Kalra, ... | | 2023 |
| An investigation of the inter-variability in COVLIAS 1.0: hybrid deep learning approaches for segmenting COVID-19 lungs in CT scans V Moningi, S Agarwal, M Biswas, JS Suri Multimodality Imaging, Volume 2: Heart, lungs and peripheral organs, 4-1-4-41, 2023 | | 2023 |
Jasjit Suri PhD MBA, FIEEE, FAIMBE,...Global Biomedical Technologies, Inc., CA, USA; Computer Engineering Dept., Idaho State University確認したメール アドレス: AtheroPoint.com