Sivaramakrishnan Rajaraman

According to our database, Sivaramakrishnan Rajaraman authored at least 36 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Can deep adult lung segmentation models generalize to the pediatric population?

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani

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.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani

CoRR, 2023

Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani

CoRR, 2023

Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani

CoRR, 2023

Assessing Inter-Annotator Agreement for Medical Image Segmentation.

Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani

IEEE Access, 2023

Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning.

Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K. Antani

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

A Comparative Study of Fairness in Medical Machine Learning.

Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani

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.

Evanjelin Mahmoodi, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani

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.

Zhaohui Liang, Zhiyun Xue, Yang Feng, Sivaramakrishnan Rajaraman, Jimmy Xiangji Huang, Sameer K. Antani

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Real-time echocardiography image analysis and quantification of cardiac indices.

Ghada Zamzmi, Sivaramakrishnan Rajaraman, Li-Yueh Hsu, Vandana Sachdev, Sameer K. Antani

Medical Image Anal., 2022

Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review.

KC Santosh, Siva Allu, Sivaramakrishnan Rajaraman, Sameer K. Antani

J. Medical Syst., 2022

Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases.

Feng Yang, Pu Xuan Lu, Min Deng, Yi-Xiang J. Wang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Les R. Folio, Sameer K. Antani, Stefan Jäger

Data, 2022

Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study.

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani

CoRR, 2022

Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs.

Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani

CoRR, 2022

Data Characterization for Reliable AI in Medicine.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022

Image Quality Classification for Automated Visual Evaluation of Cervical Precancer.

Zhiyun Xue, Sandeep Angara, Peng Guo, Sivaramakrishnan Rajaraman, Jose Jeronimo, Ana Cecilia Rodriguez, Karla Alfaro, Kittipat Charoenkwan, Chemtai Mungo, Joel Fokom Domgue, Nicolas Wentzensen, Kanan T. Desai, Olusegun Kayode Ajenifuja, Elisabeth Wikstrom, Brian Befano, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Open-world active learning for echocardiography view classification.

Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

A bone suppression model ensemble to improve COVID-19 detection in chest X-rays.

Sivaramakrishnan Rajaraman, Gregg Cohen, Les R. Folio, Sameer K. Antani

CoRR, 2021

Does deep learning model calibration improve performance in class-imbalanced medical image classification?

Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani

CoRR, 2021

Multi-loss ensemble deep learning for chest X-ray classification.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani

CoRR, 2021

Improved TB classification using bone-suppressed chest radiographs.

Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani

CoRR, 2021

Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization.

Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani

CoRR, 2021

Trilateral Attention Network for Real-Time Cardiac Region Segmentation.

Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani

IEEE Access, 2021

2020

Unified Representation Learning for Efficient Medical Image Analysis.

Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani

CoRR, 2020

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays.

Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani

IEEE Access, 2020

Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs.

Sivaramakrishnan Rajaraman, Sameer K. Antani

IEEE Access, 2020

2019

Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs.

Sivaramakrishnan Rajaraman, Sema Candemir, George R. Thoma, Sameer K. Antani

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs.

Sivaramakrishnan Rajaraman, Sudhir Sornapudi, Marc D. Kohli, Sameer K. Antani

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.

Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani

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.

Sivaramakrishnan Rajaraman, Sameer K. Antani

Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

Comparing deep learning models for population screening using chest radiography.

Sivaramakrishnan Rajaraman, Sameer K. Antani, Sema Candemir, Zhiyun Xue, Joseph Abuya, Marc D. Kohli, Philip O. Alderson, George R. Thoma

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

A novel stacked generalization of models for improved TB detection in chest radiographs.

Sivaramakrishnan Rajaraman, Sema Candemir, Zhiyun Xue, Philip O. Alderson, Marc D. Kohli, Joseph Abuya, George R. Thoma, Sameer K. Antani

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain.

Asma Ben Abacha, Soumya Gayen, Jason J. Lau, Sivaramakrishnan Rajaraman, Dina Demner-Fushman

Proceedings of the Working Notes of CLEF 2018, 2018

Gender Detection from Spine X-Ray Images Using Deep Learning.

Zhiyun Xue, Sivaramakrishnan Rajaraman, L. Rodney Long, Sameer K. Antani, George R. Thoma

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017

Visualizing Deep Learning Activations for Improved Malaria Cell Classification.

Sivarama Krishnan Rajaraman, Sameer K. Antani, Stefan Jaeger

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.

Sivaramakrishnan Rajaraman, Ganesh Vaidyanathan, Arun Chokkalingam

J. Multiple Valued Log. Soft Comput., 2014