Sivaramakrishnan Rajaraman

47 papers B 2Journal 25Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-task Cross-modal Learning for Chest X-ray Image Retrieval. CoRR Zhaohui Liang, Sivaramakrishnan Rajaraman, Niccolò Marini, Zhiyun Xue, Sameer K. Antani
2025	—	`conf`	Detecting Oral Cancer Using Tabular Deep Learning. COINS Zhiyun Xue, Zhaohui Liang, Sivaramakrishnan Rajaraman, Niccolò Marini, Sameer K. Antani
2025	J	`jnl`	Evaluating Strategies for Synthesizing Clinical Notes for Medical Multimodal AI. CoRR Niccolò Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Sameer K. Antani
2025	—	`conf`	Oral Cancer Detection by Using Tabular Data Synthesis and Classification. ICDM (Workshops) Zhiyun Xue, Sivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Sameer K. Antani
2025	B	`conf`	The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification. CBMS Sivaramakrishnan Rajaraman, Zhaohui Liang, Niccolò Marini, Zhiyun Xue, Sameer K. Antani
2024	—	`conf`	Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays. BIBM Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2024	—	`conf`	Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion. SSIAI Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani
2024	J	`jnl`	Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification. Frontiers Artif. Intell. Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2024	J	`jnl`	Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Comput. Medical Imaging Graph. Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2023	—	`conf`	A Comparative Study of Fairness in Medical Machine Learning. ISBI Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani
2023	—	`conf`	A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy. BIBM Evanjelin Mahmoodi, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani
2023	J	`jnl`	Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani
2023	—	`conf`	Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. MILLanD@MICCAI Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K. Antani
2023	J	`jnl`	Can deep adult lung segmentation models generalize to the pediatric population? Expert Syst. Appl. Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2023	J	`jnl`	Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? CoRR Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2023	—	`conf`	Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic. BIBM Zhaohui Liang, Zhiyun Xue, Yang Feng, Sivaramakrishnan Rajaraman, Jimmy Xiangji Huang, Sameer K. Antani
2023	—	`ed.`	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@MICCAI Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang
2023	J	`jnl`	Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. CoRR Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2023	J	`jnl`	Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images. CoRR Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
2022	J	`jnl`	Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review. J. Medical Syst. KC Santosh, Siva Allu, Sivaramakrishnan Rajaraman, Sameer K. Antani
2022	J	`jnl`	Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. Data Feng Yang, Pu Xuan Lu, Min Deng, Yi-Xiang J. Wang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Les R. Folio, Sameer K. Antani, Stefan Jäger
2022	—	`conf`	Data Characterization for Reliable AI in Medicine. RTIP2R Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani
2022	J	`jnl`	Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. CoRR Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani
2022	J	`jnl`	Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. CoRR Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani
2022	—	`conf`	Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. MILLanD@MICCAI 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
2022	—	`ed.`	Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MILLanD@MICCAI Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue
2022	—	`conf`	Open-world active learning for echocardiography view classification. Computer-Aided Diagnosis Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani
2022	J	`jnl`	Real-time echocardiography image analysis and quantification of cardiac indices. Medical Image Anal. Ghada Zamzmi, Sivaramakrishnan Rajaraman, Li-Yueh Hsu, Vandana Sachdev, Sameer K. Antani
2021	J	`jnl`	A bone suppression model ensemble to improve COVID-19 detection in chest X-rays. CoRR Sivaramakrishnan Rajaraman, Gregg Cohen, Les R. Folio, Sameer K. Antani
2021	J	`jnl`	Does deep learning model calibration improve performance in class-imbalanced medical image classification? CoRR Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani
2021	J	`jnl`	Improved TB classification using bone-suppressed chest radiographs. CoRR Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani
2021	J	`jnl`	Multi-loss ensemble deep learning for chest X-ray classification. CoRR Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani
2021	J	`jnl`	Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization. CoRR Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani
2021	J	`jnl`	Trilateral Attention Network for Real-Time Cardiac Region Segmentation. IEEE Access Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani
2020	J	`jnl`	Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays. IEEE Access Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani
2020	J	`jnl`	Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. CoRR Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani
2020	J	`jnl`	Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. IEEE Access Sivaramakrishnan Rajaraman, Sameer K. Antani
2020	J	`jnl`	Unified Representation Learning for Efficient Medical Image Analysis. CoRR Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani
2019	—	`conf`	Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani
2019	—	`conf`	Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. EMBC Sivaramakrishnan Rajaraman, Sudhir Sornapudi, Marc D. Kohli, Sameer K. Antani
2019	—	`conf`	Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Computer-Aided Diagnosis Sivaramakrishnan Rajaraman, Sema Candemir, George R. Thoma, Sameer K. Antani
2018	—	`conf`	A novel stacked generalization of models for improved TB detection in chest radiographs. EMBC Sivaramakrishnan Rajaraman, Sema Candemir, Zhiyun Xue, Philip O. Alderson, Marc D. Kohli, Joseph Abuya, George R. Thoma, Sameer K. Antani
2018	—	`conf`	Comparing deep learning models for population screening using chest radiography. Computer-Aided Diagnosis Sivaramakrishnan Rajaraman, Sameer K. Antani, Sema Candemir, Zhiyun Xue, Joseph Abuya, Marc D. Kohli, Philip O. Alderson, George R. Thoma
2018	B	`conf`	Gender Detection from Spine X-Ray Images Using Deep Learning. CBMS Zhiyun Xue, Sivaramakrishnan Rajaraman, L. Rodney Long, Sameer K. Antani, George R. Thoma
2018	—	`conf`	NLM at ImageCLEF 2018 Visual Question Answering in the Medical Domain. CLEF (Working Notes) Asma Ben Abacha, Soumya Gayen, Jason J. Lau, Sivaramakrishnan Rajaraman, Dina Demner-Fushman
2018	—	`conf`	Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. RTIP2R (2) Sivaramakrishnan Rajaraman, Sameer K. Antani
2014	J	`jnl`	Performance Evaluation of Nature - Inspired Optimization Techniques in Disentangling Text Pattern Overlaps. J. Multiple Valued Log. Soft Comput. Sivaramakrishnan Rajaraman, Ganesh Vaidyanathan, Arun Chokkalingam