Sivaramakrishnan Rajaraman
Sivaramakrishnan Rajaraman
Research Scientist, National Library of Medicine
Verified email at - Homepage
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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 Model Ensemble for Improved TB Detection in Chest Radiographs
S Rajaraman, S Candemir, Z Xue, P Alderson, G Thoma, S Antani
Medical Imaging Artificial Intelligence, Image Recognition, and Machine …, 2019
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
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
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
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
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
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
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
Advances in deep learning for tuberculosis screening using chest X-rays: the last 5 years review
KC Santosh, S Allu, S Rajaraman, S Antani
Journal of Medical Systems 46 (11), 82, 2022
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
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
Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detection
S Rajaraman, S Antani
MedRxiv, 2020
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
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