Sushant Agarwal 个人学术档案

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Jasjit Suri PhD MBA, FIEEE, FAIMBE,...Global Biomedical Technologies, Inc., CA, USA; Computer Engineering Dept., Idaho State University在 AtheroPoint.com 的电子邮件经过验证
Luca SabaUniversità di Cagliari - AOU di Cagliari在 unica.it 的电子邮件经过验证
Mostafa Fatemi, PhDProfessor of Biomedical Engineering, Mayo Clinic College of Medicine and Science在 mayo.edu 的电子邮件经过验证
Klaudija ViskovicProfessor at the University of Applied Health Sciences, Zagreb, Croatia; Head of Department of在 zvu.hr 的电子邮件经过验证
Suneet K. Gupta, PhDProfessor, SMIEEE在 ieee.org 的电子邮件经过验证
Ayman El-BazDistinguished Professor, Chair of Bioengineering, and University Scholar, University of Louisville在 louisville.edu 的电子邮件经过验证
Amer JohriQueen's University在 queensu.ca 的电子邮件经过验证
Vikas AgarwalProfessor, Clinical Immunology, Sanjay Gandhi Postgraduate Institute of Medical Sciences (SGPGIMS在 sgpgi.ac.in 的电子邮件经过验证
N N KhannaProfessor of cardiology , Indraprastha Apollo Hospital, New Delhi Group Advisor Apollo Group of Hosp在 apollohospitalsdelhi.com 的电子邮件经过验证
Dr. Sudip PaulAssociate Professor, Deptt. of Biomedical Engg., North-Eastern Hill University, Shillong在 nehu.ac.in 的电子邮件经过验证
Mostafa M. FoudaIdaho State University, USA在 isu.edu 的电子邮件经过验证
Azra Alizad, MDProfessor of Radiology, Department of Radiology , Mayo Clinic College of Medicine在 mayo.edu 的电子邮件经过验证
DESINENI SUBBARAM NAIDUUniv. of Minnesota在 d.umn.edu 的电子邮件经过验证
Dr Siva Skandha SanagalaCMR College of Engineering & Technology, Bennett University在 cmrcet.org 的电子邮件经过验证
Dr. Sanjay SaxenaAsst. Prof. Department of Computer Science & Engineering, IIIT Bhubaneswar在 iiit-bh.ac.in 的电子邮件经过验证
Dr. Biswajit JenaAssistant Professor, S'O'A University, Bhubaneswar, India在 soa.ac.in 的电子邮件经过验证
Mrinalini BhagawatiDoctoral Research Scholar, North Eastern Hill University在 nehu.ac.in 的电子邮件经过验证
Dr. Amit Kumar PandeyREC Ambedkar Nagar在 recabn.ac.in 的电子邮件经过验证
zoltán ruzsaSzegedi Tudományegyetem, Ált Orvostud Kar在 med.u-szeged.hu 的电子邮件经过验证
Petros P. SfikakisProfessor of Internal Medicine & Rheumatology, Medical School, National and Kapodistrian University of Athens, Greece在 med.uoa.gr 的电子邮件经过验证

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Sushant Agarwal

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Deep Learning Edge Devices Cloud deployment Bio-medical imaging


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	71	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	60	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	43	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	43	2021
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	41	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	36	2022
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	34	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	29	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	26	2021
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	24	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	20	2023
COVLIAS 1.0_Lesion 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	20	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	11	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	5	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
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, 0

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