Sunil B. Nagaraj - Concepedia

Author

Sunil B. Nagaraj

University Medical Center Groningen ORCID

Also Known As

S Nagaraj, S. B. Nagaraj, S. Belur Nagaraj, S. Nagaraj, SUNIL BELUR NAGARAJ, Sakthi Shalini Nagaraj, Santhosh Kumar Sagar Nagaraj, Sunil B Nagaraj, Sunil B. Nagaraj, Sunil Belur Nagaraj

Publications

828

Citations

H-Index

Concepts

All Affiliations

University Medical Center Groningen University of Groningen Massachusetts General Hospital University of Twente Harvard University

About

Sunil B. Nagaraj is an author at University Medical Center Groningen specializing in medicine, neuroimaging, and neurophysiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	6	6	242
2	Social Sciences	4	4	178
3	Engineering	3	3	91
4	Emergency Medicine	2	2	55
5	Anesthesia	1	1	12

Sunil B. Nagaraj

Publications

733

Citations

H-Index

Page 1

	Year	Citations
Quantitative EEG reactivity and machine learning for prognostication in hypoxic-ischemic brain injury Edilberto Amorim, M Van Der Stoel, Sunil B. Nagaraj, Clinical Neurophysiology Hypoxic-ischemic Brain InjuryMachine LearningNeurophysiological BiomarkersSocial SciencesStroke	2019	85
Machine‐learning–based early prediction of end‐stage renal disease in patients with diabetic kidney disease using clinical trials data Sunil B. Nagaraj, Michelle J. Pena, Wenjun Ju, Diabetes Obesity and Metabolism	2020	80
STQS: Interpretable multi-modal Spatial-Temporal-seQuential model for automatic Sleep scoring Shreyasi Pathak, Changqing Lu, Sunil B. Nagaraj, Artificial Intelligence in Medicine	2021	66
A metabolomics‐based molecular pathway analysis of how the sodium‐glucose co‐transporter‐2 inhibitor dapagliflozin may slow kidney function decline in patients with diabetes Skander Mulder, Ann Hammarstedt, Sunil B. Nagaraj, Diabetes Obesity and Metabolism	2020	54
Automated tracking of level of consciousness and delirium in critical illness using deep learning Haoqi Sun, Eyal Y. Kimchi, Oluwaseun Akeju, npj Digital Medicine Artificial IntelligenceEngineeringMachine LearningIntelligent DiagnosticsDeep Learning Model	2019	44
The revised Cerebral Recovery Index improves predictions of neurological outcome after cardiac arrest Sunil B. Nagaraj, Marleen C. Tjepkema‐Cloostermans, Barry J. Ruijter, Clinical Neurophysiology NeuropsychologyStroke RehabilitationCardiopulmonary ResuscitationMedicineFunctional Recovery	2018	43
Patient-Specific Classification of ICU Sedation Levels From Heart Rate Variability* Sunil B. Nagaraj, Siddharth Biswal, Emily J. Boyle, Critical Care Medicine	2017	40
Dexmedetomidine-induced deep sedation mimics non-rapid eye movement stage 3 sleep: large-scale validation using machine learning Sowmya M. Ramaswamy, Maud A. S. Weerink, Michel Struys, SLEEP	2020	40
Predicting short‐ and long‐term glycated haemoglobin response after insulin initiation in patients with type 2 diabetes mellitus using machine‐learning algorithms Sunil B. Nagaraj, Grigory Sidorenkov, Job F. M. van Boven, Diabetes Obesity and Metabolism	2019	36
Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary Sunil B. Nagaraj, Nathan J. Stevenson, William P. Marnane, IEEE Transactions on Biomedical Engineering Seizure DetectionStatistical Signal ProcessingEngineeringSensor Signal ProcessingNeurophysiology	2014	35

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