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Sivaramakrishnan 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
- [j10]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) - [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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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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last updated on 2024-08-05 20:25 CEST by the dblp team
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