Sivaramakrishnan Rajaraman
Affiliations: | National Library of Medicine, Bethesda, MD, United States |
Area:
Machine learning, computer vision, artificial intelligence, biomedical engineeringWebsite:
Sivaramakrishnan RajaramanGoogle:
"Sivaramakrishnan Rajaraman"Bio:
Sivaramakrishnan Rajaraman
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Parents
Sign in to add mentor| Sameer K. Antani | research scientist | National Institutes of Health (Computer Science Tree) |
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Publications
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| Rajaraman S, Zamzmi G, Yang F, et al. (2024) Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images. Plos Digital Health. 3: e0000286 |
| Liang Z, Xue Z, Rajaraman S, et al. (2023) Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. Medical Image Learning With Limited and Noisy Data : Second International Workshop, Milland 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings. Milland (Workshop) : (2nd : 2023 : Vancouver, B.... 14307: 128-137 |
| Rajaraman S, Zamzmi G, Yang F, et al. (2023) Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. Arxiv |
| Zamzmi G, Hsu LY, Rajaraman S, et al. (2023) Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure. The International Journal of Cardiovascular Imaging |
| Rajaraman S, Yang F, Zamzmi G, et al. (2023) Can Deep Adult Lung Segmentation Models Generalize to the Pediatric Population? Expert Systems With Applications. 229 |
| Yang F, Zamzmi G, Angara S, et al. (2023) Assessing Inter-Annotator Agreement for Medical Image Segmentation. Ieee Access : Practical Innovations, Open Solutions. 11: 21300-21312 |
| Xue Z, Yang F, Rajaraman S, et al. (2023) Cross Dataset Analysis of Domain Shift in CXR Lung Region Detection. Diagnostics (Basel, Switzerland). 13 |
| Rajaraman S, Yang F, Zamzmi G, et al. (2023) Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays. Diagnostics (Basel, Switzerland). 13 |
| Rajaraman S, Yang F, Zamzmi G, et al. (2023) Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? Arxiv |
| Rajaraman S, Zamzmi G, Yang F, et al. (2023) Data Characterization for Reliable AI in Medicine. Recent Trends in Image Processing and Pattern Recognition : 5th International Conference, Rtip2r 2022, Kingsville, Tx, Usa, December 01-02, 2022, Revised Selected Papers. International Conference On Recent Trends in Image Processing and.... 1704: 3-11 |