Sivaramakrishnan Rajaraman
Orcid: 0000-0003-0871-8634Affiliations:
- U.S. National Library of Medicine, Bethesda, MD, USA
- Anna University, Chennai, India (PhD 2015)
According to our database1,
Sivaramakrishnan Rajaraman
authored at least 39 papers
between 2014 and 2024.
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Bibliography
2024
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification.
Frontiers Artif. Intell., 2024
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays.
Comput. Medical Imaging Graph., 2024
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024
Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Expert Syst. Appl., November, 2023
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images.
CoRR, 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
CoRR, 2023
IEEE Access, 2023
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Medical Image Anal., 2022
Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review.
J. Medical Syst., 2022
Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases.
Data, 2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study.
CoRR, 2022
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs.
CoRR, 2022
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
CoRR, 2021
Does deep learning model calibration improve performance in class-imbalanced medical image classification?
CoRR, 2021
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization.
CoRR, 2021
IEEE Access, 2021
2020
IEEE Access, 2020
Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs.
IEEE Access, 2020
2019
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
A novel stacked generalization of models for improved TB detection in chest radiographs.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Proceedings of the Working Notes of CLEF 2018, 2018
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
2017
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017
2014
Performance Evaluation of Nature - Inspired Optimization Techniques in Disentangling Text Pattern Overlaps.
J. Multiple Valued Log. Soft Comput., 2014