Sivaramakrishnan Rajaraman
Sivaramakrishnan Rajaraman
Research Scientist, National Library of Medicine
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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),, 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
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
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
S Rajaraman, S Jaeger, S Antani
PeerJ 7 (e6977),, 2019
Modality-specific deep learning model ensembles toward improving TB detection in chest radiographs
S Rajaraman, SK Antani
IEEE Access 8, 27318-27326, 2020
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
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
Visual interpretation of convolutional neural network predictions in classifying medical image modalities
I Kim, S Rajaraman, S Antani
Diagnostics 9 (2), 38, 2019
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
Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs
S Rajaraman, S Sornapudi, P Alderson, L Folio, S Antani
PLOS ONE 15 (11), e0242301, 2020
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
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
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
Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detection
S Rajaraman, S Antani
MedRxiv, 2020
Malaria Screener: a smartphone application for automated malaria screening
H Yu, F Yang, S Rajaraman, I Ersoy, G Moallem, M Poostchi, ...
BMC Infectious Diseases 20 (825), 2020
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
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, 200-211, 2019
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
Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles
S Rajaraman, I Kim, S Antani
PeerJ 8 (e8693), 2020
Improved semantic segmentation of tuberculosis—consistent findings in chest x-rays using augmented training of modality-specific u-net models with weak localizations
S Rajaraman, LR Folio, J Dimperio, PO Alderson, SK Antani
Diagnostics 11 (4), 616, 2021
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