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Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Training deep learning algorithms with weakly labeled pneumonia chest X-ray data for COVID-19 detectionSivaramakrishnan Rajaraman, Sameer AntaniDiagnostics (Basel, Switzerland)|November 11, 2022
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases"Sivaramakrishnan Rajaraman, Sameer AntaniDiagnostics (Basel, Switzerland)|June 4, 2020
Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-RaysSivaramakrishnan Rajaraman, Sameer AntaniPlos One|January 27, 2022
Deep learning model calibration for improving performance in class-imbalanced medical image classification tasksSivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer AntaniDiagnostics (Basel, Switzerland)|September 14, 2024
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care"Sivaramakrishnan Rajaraman, Zhiyun Xue, Sameer AntaniInformatics in Medicine Unlocked|April 5, 2024
UMS-Rep: Unified modality-specific representation for efficient medical image analysisGhada Zamzmi, Sivaramakrishnan Rajaraman, Sameer AntaniDiagnostics (Basel, Switzerland)|April 17, 2019
Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image ModalitiesIncheol Kim, Sivaramakrishnan Rajaraman, Sameer AntaniFrontiers in Artificial Intelligence|September 20, 2024
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classificationSivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, et al.Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|March 26, 2025
Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-raysSivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, et al.Proceedings of Spie--The International Society for Optical Engineering|March 2, 2023
Open World Active Learning for Echocardiography View ClassificationGhada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, et al.Pageof 15