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Sushant Agarwal
Sushant Agarwal
Excelra Knowledge Sol.
Верификована је имејл адреса на computer.org - Почетна страница
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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
802021
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
672021
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
542022
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
532022
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
512022
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
502021
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
472021
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
422022
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
282023
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
282021
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
262021
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
222022
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
162022
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
122023
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
22024
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
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