J. Teji

发表

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Aditya M. Sharma, David W. Sobel, Gopal S. Tandel, 2021, Computers in Biology and Medicine.

NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death

J. Suri, S. Gupta, J. Teji, 2022, Comput. Biol. Medicine.

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 using COVLIAS 2.0

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Computers in Biology and Medicine.

COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans

David W. Sobel, Paramjit S. Chadha, J. Suri, 2022, Diagnostics.

Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction—A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review

J. Suri, L. Saba, A. Barqawi, 2022, Diagnostics.

Cardiovascular Risk Stratification in Diabetic Retinopathy via Atherosclerotic Pathway in COVID-19/Non-COVID-19 Frameworks Using Artificial Intelligence Paradigm: A Narrative Review

Renoh Johnson Chalakkal, David W. Sobel, Paramjit S. Chadha, 2022, Diagnostics.

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2022, Diagnostics.

Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2022, Diagnostics.

Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report

David W. Sobel, J. Suri, L. Saba, 2022, Journal of cardiovascular development and disease.

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation

M. Kalra, J. Suri, L. Saba, 2022, Journal of Medical Systems.

Effects of prenatal exposure to maternal COVID-19 and perinatal care on neonatal outcome: results from the INTERCOVID Multinational Cohort Study

A. Papageorghiou, Z. Bhutta, L. Salomon, 2022, American Journal of Obstetrics and Gynecology.

Monitoring the Postnatal Growth of Preterm Infants: A Paradigm Change

J. Hirst, A. Papageorghiou, Z. Bhutta, 2018, Pediatrics.

Management of asymptomatic neonates with prolonged rupture of membranes

R. Pildes, R. Rydman, J. Teji, 1994, Indian journal of pediatrics.

Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study

David W. Sobel, M. Kalra, J. Suri, 2022, Journal of clinical medicine.

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

David W. Sobel, M. Kalra, J. Suri, 2022, Healthcare.

Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection

A. Papageorghiou, Z. Bhutta, F. Prefumo, 2021, JAMA pediatrics.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Harman S. Suri, Aditya M. Sharma, Deepak L. Bhatt, 2020, Reviews in cardiovascular medicine.

COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts

David W. Sobel, Paramjit S. Chadha, M. Kalra, 2021, Diagnostics.

Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

Maternal and Neonatal Morbidity and Mortality Among Pregnant Women With and Without COVID-19 Infection

A. Papageorghiou, Z. Bhutta, F. Prefumo, 2021, JAMA pediatrics.

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

Mainak Biswas, Vijay Viswanathan, Narendra N. Khanna, 2020, Computers in Biology and Medicine.

Pregnancy outcomes and vaccine effectiveness during the period of omicron as the variant of concern, INTERCOVID-2022: a multinational, observational study

A. Papageorghiou, Z. Bhutta, L. Salomon, 2023, The Lancet.

VerSuS STandardS : 2 dIfferenT ToolS To monITor GrowTh of PreTerm InfanTS

J. Hirst, A. Papageorghiou, Z. Bhutta, 2017 .

COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models

Aditya M. Sharma, David W. Sobel, Paramjit S. Chadha, 2021, Diagnostics.

Risk factors of neonatal mortality and child mortality in Bangladesh

Harman S. Suri, J. Suri, A. El-Baz, 2018, Journal of global health.

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort

Jasjit S. Suri, Luca Saba, Narendra N. Khanna, 2018, Comput. Biol. Medicine.