Sivaramakrishnan Rajaraman
Sivaramakrishnan Rajaraman
Research Scientist, National Library of Medicine
Verifierad e-postadress på nih.gov - Startsida
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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), https://doi.org/10.7717/peerj.45, 2018
1572018
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
90*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
612020
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
412019
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
322018
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
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
202020
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
20*2018
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
18*2018
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
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
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 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
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
72019
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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Artiklar 1–20