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ORCIDSivaramakrishnan Rajaraman
Person information
- affiliation: U.S. National Library of Medicine, Bethesda, MD, USA
- affiliation (PhD 2015): Anna University, Chennai, India
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2020 – today
- 2024
[j11]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: 102379 (2024)- [j10]Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification. Frontiers Artif. Intell. 7 (2024) - [c18]Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays. BIBM 2024: 5059-5066 - [c17]Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion. SSIAI 2024: 21-24 - 2023
- [j9]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: 21300-21312 (2023) - [j8]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): 120531 (2023) - [c16]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: 3067-3072 - [c15]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: 3097-3102 - [c14]Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani:
A Comparative Study of Fairness in Medical Machine Learning. ISBI 2023: 1-5 - [c13]Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K. Antani:
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. MILLanD@MICCAI 2023: 128-137 - [e2]Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang:
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. Lecture Notes in Computer Science 14307, Springer 2023, ISBN 978-3-031-47196-4 [contents] - [i12]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? CoRR abs/2301.04032 (2023) - [i11]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 abs/2309.09773 (2023) - [i10]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 abs/2309.11318 (2023) - 2022
- [j7]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): 95 (2022) - [j6]KC 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): 82 (2022) - [j5]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: 102438 (2022) - [c12]Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Open-world active learning for echocardiography view classification. Computer-Aided Diagnosis 2022 - [c11]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: 206-217 - [c10]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani:
Data Characterization for Reliable AI in Medicine. RTIP2R 2022: 3-11 - [e1]Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue:
Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13559, Springer 2022, ISBN 978-3-031-16759-1 [contents] - [i9]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 abs/2206.06065 (2022) - [i8]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 abs/2211.02475 (2022) - 2021
- [j4]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani:
Trilateral Attention Network for Real-Time Cardiac Region Segmentation. IEEE Access 9: 118205-118214 (2021) - [i7]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 abs/2102.10607 (2021) - [i6]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani:
Improved TB classification using bone-suppressed chest radiographs. CoRR abs/2104.04518 (2021) - [i5]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani:
Multi-loss ensemble deep learning for chest X-ray classification. CoRR abs/2109.14433 (2021) - [i4]Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani:
Does deep learning model calibration improve performance in class-imbalanced medical image classification? CoRR abs/2110.00918 (2021) - [i3]Sivaramakrishnan Rajaraman, Gregg Cohen, Les R. Folio, Sameer K. Antani:
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays. CoRR abs/2111.03404 (2021) - 2020
- [j3]Sivaramakrishnan Rajaraman, Sameer K. Antani:
Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. IEEE Access 8: 27318-27326 (2020) - [j2]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: 115041-115050 (2020) - [i2]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 abs/2004.08379 (2020) - [i1]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Unified Representation Learning for Efficient Medical Image Analysis. CoRR abs/2006.11223 (2020)
2010 – 2019
- 2019
- [c9]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: 841-844 - [c8]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: 3689-3692 - [c7]Sivaramakrishnan Rajaraman, Sema Candemir, George R. Thoma, Sameer K. Antani:
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Computer-Aided Diagnosis 2019: 109500S - 2018
- [c6]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: 54-58 - [c5]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 - [c4]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: 718-721 - [c3]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. Computer-Aided Diagnosis 2018: 105751E - [c2]Sivaramakrishnan Rajaraman, Sameer K. Antani:
Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. RTIP2R (2) 2018: 42-57 - 2017
- [c1]Sivarama Krishnan Rajaraman, Sameer K. Antani, Stefan Jaeger:
Visualizing Deep Learning Activations for Improved Malaria Cell Classification. MIH@KDD 2017: 40-47 - 2014
- [j1]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): 503-527 (2014)
Coauthor Index
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