Sivaramakrishnan Rajaraman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Venues

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...

PloS one

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...

National Library of Medicine

Anna University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

National Library of Medicine Dec 03 2016

United States

Research Scientist :: Communications Engineering

Education History

Anna University Jan 23 2011 - May 15 2015

India

PHD :: Information and Communication

Publications

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K Antani
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images. PLOS digital health 3 (1) (2024)
Sivaramakrishnan Rajaraman, Zhiyun Xue, Sameer K Antani
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care". Diagnostics (Basel, Switzerland) 14 (17) (2024)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K Antani
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images. PLOS digital health 3 (1) (2024)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K Antani
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 (2023)
Zhiyun Xue, Feng Yang, Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K Antani
Cross Dataset Analysis of Domain Shift in CXR Lung Region Detection. Diagnostics (Basel, Switzerland) 13 (6) (2023)
Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jaeger, Emmanouil Papagiannakis, Sameer K Antani
Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE access : practical innovations, open solutions 11 (2023)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K Antani
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 (2023)
Zhiyun Xue, Feng Yang, Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K Antani
Cross Dataset Analysis of Domain Shift in CXR Lung Region Detection. Diagnostics (Basel, Switzerland) 13 (6) (2023)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K Antani
Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays. Diagnostics (Basel, Switzerland) 13 (4) (2023)
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K Antani
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 (2023)
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K Antani
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 (2023)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K Antani
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 (2023)
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K Antani
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 (2023)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K Antani
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 (2023)
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K Antani
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 (2023)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K Antani
Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays. Diagnostics (Basel, Switzerland) 13 (4) (2023)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K Antani
Assessing the Impact of Image Resolution on Deep Learning for TB Lesion Segmentation on Frontal Chest X-rays. Diagnostics (Basel, Switzerland) 13 (4) (2023)
Sivaramakrishnan Rajaraman, Gregg Cohen, Lillian Spear, Les Folio, Sameer K Antani
DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs. PloS one 17 (3) (2022)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K Antani
A Systematic Evaluation of Ensemble Learning Methods for Fine-Grained Semantic Segmentation of Tuberculosis-Consistent Lesions in Chest Radiographs. Bioengineering (Basel, Switzerland) 9 (9) (2022)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Stefan Jaeger, Sameer K Antani
Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays. Biomedicines 10 (6) (2022)
K C Santosh, Siva Allu, Sivaramakrishnan Rajaraman, Sameer K Antani
Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review. Journal of medical systems 46 (11) (2022)
Sivaramakrishnan Rajaraman, Peng Guo, Zhiyun Xue, Sameer K Antani
A Deep Modality-Specific Ensemble for Improving Pneumonia Detection in Chest X-rays. Diagnostics (Basel, Switzerland) 12 (6) (2022)
Sivaramakrishnan Rajaraman, Sameer K Antani
Editorial on Special Issue "Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases". Diagnostics (Basel, Switzerland) 12 (11) (2022)
Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K Antani
Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks. PloS one 17 (1) (2022)
Sivaramakrishnan Rajaraman, Les R Folio, Jane Dimperio, Philip O Alderson, Sameer K Antani
Improved Semantic Segmentation of Tuberculosis-Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations. Diagnostics (Basel, Switzerland) 11 (4) (2021)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K Antani
Novel loss functions for ensemble-based medical image classification. PloS one 16 (12) (2021)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio, Philip O Alderson, Sameer K Antani
Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings. Diagnostics (Basel, Switzerland) 11 (5) (2021)
Sivaramakrishnan Rajaraman, Sudhir Sornapudi, Philip O Alderson, Les R Folio, Sameer K Antani
Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs. PloS one 15 (11) (2020)
Incheol Kim, Sivaramakrishnan Rajaraman, Sameer K Antani
Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities. Diagnostics (Basel, Switzerland) 9 (2) (2019)
Sivaramakrishnan Rajaraman, Sema Candemir, Incheol Kim, George Thoma, Sameer K Antani
Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs. Applied sciences (Basel, Switzerland) 8 (10) (2018)
Sivaramakrishnan Rajaraman, Kamolrat Silamut, Md A Hossain, I Ersoy, Richard James Maude, Stefan Jaeger, George R Thoma, Sameer K Antani
Understanding the learned behavior of customized convolutional neural networks toward malaria parasite detection in thin blood smear images. Journal of medical imaging (Bellingham, Wash.) 5 (3) (2018)

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Publication Activity (10 Years)

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Sivaramakrishnan Rajaraman