Sivaramakrishnan Rajaraman

National Institutes of Health — United States

Medicine · Health Sciences

30h-index3.7kcitations112works2.22yr avg
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Research Topics

COVID-19 diagnosis using AI(64), Radiomics and Machine Learning in Medical Imaging(46), AI in cancer detection(28), Lung Cancer Diagnosis and Treatment(15), Tuberculosis Research and Epidemiology(10)

Publications112 total

Detecting Oral Cancer Using Tabular Deep Learning
2025· 1 citedOpen Access
Combining Real and Synthetic Data to Overcome Limited Training Datasets in Multimodal Learning
2025Open Access
The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification
2025· 2 citedOpen Access
Artificial Intelligence-based Diagnosis of Kaposi Sarcoma using Photographs in Dark-skinned Patients
2025Open Access
Ensembled YOLO for multiorgan detection in chest x-rays
2025· 2 citedOpen Access
Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays
2024· 2 citedOpen Access
Editorial on Special Issue “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care”
Diagnostics·2024· 1 citedOpen Access
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification
Frontiers in Artificial Intelligence·2024Open Access
Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation
New Microbes and New Infections·2024· 1 citedOpen Access
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays
Computerized Medical Imaging and Graphics·2024· 10 citedOpen Access
Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion
2024Open Access
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images
PLOS Digital Health·2024· 3 citedOpen Access
Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges
Studies in computational intelligence·2024· 6 cited
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic
2023
A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy
2023· 1 cited
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
arXiv (Cornell University)·2023Open Access
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
arXiv (Cornell University)·2023Open Access
Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure
The International Journal of Cardiovascular Imaging·2023· 6 citedOpen Access
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images
2023· 1 citedOpen Access
Can deep adult lung segmentation models generalize to the pediatric population?
Expert Systems with Applications·2023· 7 citedOpen Access
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Frequent Co-authors

Sameer Antani(40), Ghada Zamzmi(13), Zhiyun Xue(11), Stefan Jaeger(8), Feng Yang(8), George R. Thoma(7), Les Folio(7), Philip O. Alderson(6), Sema Candemir(6), K.D. Kramer(4), Richard J. Maude(3), Incheol Kim(3), W. Mehnert(3), Monika Schäfer‐Korting(3), Marc Kohli(3), Mahdieh Poostchi(2), Kamolrat Silamut(2), Md. Aiub Hossain(2), Lucas S. Folio(2), Chié Nakamura(2)