Sivaramakrishnan Rajaraman
Sivaramakrishnan Rajaraman
Research Scientist, National Library of Medicine
Verified email at nih.gov - Homepage
Title
Cited by
Cited by
Year
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
S Rajaraman, SK Antani, M Poostchi, K Silamut, MA Hossain, RJ Maude, ...
PeerJ 6 (e4568), https://doi.org/10.7717/peerj.45, 2018
1722018
Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs
S Rajaraman, S Candemir, I Kim, G Thoma, S Antani
MDPI Applied Sciences 8 (10), 1715, 2018
94*2018
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
S Rajaraman, J Siegelman, P Alderson, L Folio, L Folio, S Antani
IEEE Access 8 (1), 115041 - 115050, 2020
782020
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
S Rajaraman, S Jaeger, S Antani
PeerJ 7 (e6977), https://doi.org/10.7717/peerj.6977, 2019
422019
A novel stacked generalization of models for improved TB detection in chest radiographs
S Rajaraman, S Candemir, Z Xue, PO Alderson, M Kohli, J Abuya, ...
IEEE Engineering in Medicine and Biology Conference (EMBC), 718-721, 2018
362018
Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays
S Rajaraman, S Antani
Diagnostics 10 (6), 358, 2020
242020
Visualizing abnormalities in chest radiographs through salient network activations in Deep Learning
S Rajaraman, SK Antani, Z Xue, S Candemir, S Jaeger, GR Thoma
IEEE Life Sciences Conference (LSC), 71-74, 2018
23*2018
Modality-specific deep learning model ensembles toward improving TB detection in chest radiographs
S Rajaraman, SK Antani
IEEE Access 8, 27318-27326, 2020
222020
Visual interpretation of convolutional neural network predictions in classifying medical image modalities
I Kim, S Rajaraman, S Antani
Diagnostics 9 (2), 38, 2019
212019
Comparing deep learning models for population screening using chest radiography
S Rajaraman, S Antani, S Candemir, Z Xue, J Abuya, M Kohli, P Alderson, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105751E, 2018
212018
NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain
A Ben Abacha, S Gayen, JJ Lau, S Rajaraman, D Demner-Fushman
CLEF2018 Working Notes. CEUR Workshop Proceedings, Avignon, France, CEUR-WS …, 2018
19*2018
Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images
S Rajaraman, K Silamut, H MA, I Ersoy, RJ Maude, S Jaeger, GR Thoma, ...
Journal of Medical Imaging 5 (3), 034501, 2018
132018
Visualizing Deep Learning Activations for Improved Malaria Cell Classification
S Rajaraman, SK Antani, S Jaeger
First workshop on Medical Informatics and Healthcare (MIH 2017) 69, 40-47, 2017
13*2017
Deep Learning for Grading Cardiomegaly Severity in Chest X-rays: An Investigation
S Candemir, S Rajaraman, G Thoma, S Antani
Second Annual IEEE Life Sciences Conference, LSC 2018, Montreal, Quebec …, 2018
112018
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs
S Rajaraman, S Candemir, G Thoma, S Antani
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109500S, 2019
102019
Meditation research: a comprehensive review
S Rajaraman
International Journal of Engineering Research and Application, 2013
102013
Connected components labeling and extraction based interphase removal from chromosome images
S Rajaraman, A Chokkalingam
International Journal of Bio-Science and Bio-Technology 5 (1), 81-90, 2013
102013
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs
P Ganesan, S Rajaraman, R Long, B Ghoraani, S Antani
IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany …, 2019
82019
Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs
S Rajaraman, S Sornapudi, M Kohli, S Antani
IEEE Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany …, 2019
82019
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images. PeerJ 7, e6977 (2019)
S Rajaraman, S Jaeger, SK Antani
7
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