Sivaramakrishnan Rajaraman
United States National Library of Medicine(US)
Publications by Year
Research Areas
COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Lung Cancer Diagnosis and Treatment, Tuberculosis Research and Epidemiology
Most-Cited Works
- → Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images(2018)546 cited
- → Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays(2020)372 cited
- → Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs(2018)312 cited
- → Lipid nanoparticles for skin penetration enhancement—correlation to drug localization within the particle matrix as determined by fluorescence and parelectric spectroscopy(2005)230 cited
- → Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images(2019)194 cited
- → Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs(2020)139 cited
- → Glucocorticoid entrapment into lipid carriers — characterisation by parelectric spectroscopy and influence on dermal uptake(2004)123 cited
- → Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review(2022)94 cited
- → Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays(2020)90 cited
- → Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities(2019)89 cited