Sivaramakrishnan Rajaraman

Author

Also Known As

, Linguraru, Marius George, R SIVARAMAKRISHNAN, R Sivaramakrishnan, R. Sivaramakrishnan, Rajaraman, Sivaramakrishnan, S. Rajaraman, Sivaramakrishnan R, Sivaramakrishnan R., Sivaramakrishnan Rajaraman

112

Publications

3.7K

Citations

H-Index

Concepts

All Affiliations

National Institutes of Health United States National Library of Medicine National Center for Biotechnology Information National Institutes of Health Clinical Center Mahidol Oxford Tropical Medicine Research Unit

About

Sivaramakrishnan Rajaraman is an author at National Institutes of Health specializing in medical image computing, engineering, and radiology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	20	805
2	Health Sciences	11	11	412
3	Medicine	6	6	310
4	Biostatistics	4	4	196
5	Public Health	1	1	36

Sivaramakrishnan Rajaraman

Publications

2.5K

Citations

H-Index

Page 1

	Year	Citations
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images Sivaramakrishnan Rajaraman, Sameer Antani, Mahdieh Poostchi, PeerJ	2018	540
Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, Applied Sciences	2018	311
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images Sivaramakrishnan Rajaraman, Stefan Jaeger, Sameer Antani PeerJ	2019	193
Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs Sivaramakrishnan Rajaraman, Sameer Antani IEEE Access	2020	138
Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays Sivaramakrishnan Rajaraman, Sameer Antani Diagnostics Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningDiagnosis	2020	90
Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities Incheol Kim, Sivaramakrishnan Rajaraman, Sameer Antani Diagnostics Convolutional Neural NetworkEngineeringMachine LearningImage ModalitiesImage Classification	2019	89
A novel stacked generalization of models for improved TB detection in chest radiographs Sivaramakrishnan Rajaraman, Sema Candemir, Zhiyun Xue, Convolutional Neural NetworkEngineeringMachine LearningDiagnosisDiagnostic Imaging	2018	79
Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer Antani PLoS ONE	2022	67
Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images Sivaramakrishnan Rajaraman, Kamolrat Silamut, Md. Aiub Hossain, Journal of Medical Imaging	2018	66
Assessing Inter-Annotator Agreement for Medical Image Segmentation Feng Yang, Ghada Zamzmi, Sandeep Angara, IEEE Access Artificial IntelligenceMedical Image SegmentationEngineeringMachine LearningAutomatic Annotation Tool	2023	63

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