Sivaramakrishnan Rajaraman

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 37

Top Topics

Chest Radiographs

Image Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani
Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion. SSIAI (2024)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Comput. Medical Imaging Graph. 115 (2024)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. CoRR (2023)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
Can deep adult lung segmentation models generalize to the pediatric population? Expert Syst. Appl. 229 (Part A) (2023)
Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani
A Comparative Study of Fairness in Medical Machine Learning. ISBI (2023)
Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani
Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access 11 (2023)
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. CoRR (2023)
Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Yang Feng, Sameer K. Antani
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. MILLanD@MICCAI (2023)
Evanjelin Mahmoodi, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani
A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy. BIBM (2023)
Zhaohui Liang, Zhiyun Xue, Yang Feng, Sivaramakrishnan Rajaraman, Jimmy Xiangji Huang, Sameer K. Antani
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic. BIBM (2023)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer Antani
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? CoRR (2023)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani
Data Characterization for Reliable AI in Medicine. RTIP2R (2022)
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
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. MILLanD@MICCAI (2022)
Ghada Zamzmi, Sivaramakrishnan Rajaraman, Li-Yueh Hsu, Vandana Sachdev, Sameer K. Antani
Real-time echocardiography image analysis and quantification of cardiac indices. Medical Image Anal. 80 (2022)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. CoRR (2022)
Feng Yang, Pu Xuan Lu, Min Deng, Yi-Xiang J. Wang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Les R. Folio, Sameer K. Antani, Stefan Jäger
Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. Data 7 (7) (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. J. Medical Syst. 46 (11) (2022)
Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. CoRR (2022)
Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani
Open-world active learning for echocardiography view classification. Medical Imaging: Computer-Aided Diagnosis (2022)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani
Improved TB classification using bone-suppressed chest radiographs. CoRR (2021)
Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani
Does deep learning model calibration improve performance in class-imbalanced medical image classification? CoRR (2021)
Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization. CoRR (2021)
Sivaramakrishnan Rajaraman, Gregg Cohen, Les S. Folio, Sameer K. Antani
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays. CoRR (2021)
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani
Multi-loss ensemble deep learning for chest X-ray classification. CoRR (2021)
Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani
Trilateral Attention Network for Real-Time Cardiac Region Segmentation. IEEE Access 9 (2021)
Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. CoRR (2020)
Sivaramakrishnan Rajaraman, Sameer K. Antani
Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. IEEE Access 8 (2020)
Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays. IEEE Access 8 (2020)
Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani
Unified Representation Learning for Efficient Medical Image Analysis. CoRR (2020)
Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC (2019)
Sivaramakrishnan Rajaraman, Sema Candemir, George R. Thoma, Sameer K. Antani
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Medical Imaging: Computer-Aided Diagnosis (2019)
Sivaramakrishnan Rajaraman, Sudhir Sornapudi, Marc D. Kohli, Sameer K. Antani
Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. EMBC (2019)
Sivaramakrishnan Rajaraman, Sameer K. Antani
Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. RTIP2R (2) (2018)
Zhiyun Xue, Sivaramakrishnan Rajaraman, L. Rodney Long, Sameer K. Antani, George R. Thoma
Gender Detection from Spine X-Ray Images Using Deep Learning. CBMS (2018)
Asma Ben Abacha, Soumya Gayen, Jason J. Lau, Sivaramakrishnan Rajaraman, Dina Demner-Fushman
NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF (Working Notes) (2018)
Sivaramakrishnan Rajaraman, Sameer K. Antani, Sema Candemir, Zhiyun Xue, Joseph Abuya, Marc D. Kohli, Philip O. Alderson, George R. Thoma
Comparing deep learning models for population screening using chest radiography. Medical Imaging: Computer-Aided Diagnosis (2018)
Sivaramakrishnan Rajaraman, Sema Candemir, Zhiyun Xue, Philip O. Alderson, Marc D. Kohli, Joseph Abuya, George R. Thoma, Sameer K. Antani
A novel stacked generalization of models for improved TB detection in chest radiographs. EMBC (2018)
Sivaramakrishnan Rajaraman, Ganesh Vaidyanathan, Arun Chokkalingam
Performance Evaluation of Nature - Inspired Optimization Techniques in Disentangling Text Pattern Overlaps. J. Multiple Valued Log. Soft Comput. 23 (5-6) (2014)