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)

Visualizing Deep Learning Activations for Improved Malaria Cell Classification. - Sivarama Krishnan Rajaraman; Sameer K. Antani; Stefan Jaeger 001 (MIH@KDD, 2017)

Gender Detection from Spine X-Ray Images Using Deep Learning. - Zhiyun Xue; Sivaramakrishnan Rajaraman; L. Rodney Long; Sameer K. Antani; George R. Thoma (CBMS, 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 (CLEF (Working Notes), 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 (EMBC, 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 (Computer-Aided Diagnosis, 2018)

Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. - Sivaramakrishnan Rajaraman; Sameer K. Antani (RTIP2R (2), 2018)

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 (EMBC, 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 (EMBC, 2019)

Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. - Sivaramakrishnan Rajaraman; Sema Candemir; George R. Thoma; Sameer K. Antani (Computer-Aided Diagnosis, 2019)

Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. - Sivaramakrishnan Rajaraman; Sameer K. Antani (IEEE Access, 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)

Unified Representation Learning for Efficient Medical Image Analysis. - Ghada Zamzmi; Sivaramakrishnan Rajaraman; Sameer K. Antani (CoRR, 2020)

Trilateral Attention Network for Real-Time Cardiac Region Segmentation. - Ghada Zamzmi; Sivaramakrishnan Rajaraman; Vandana Sachdev; Sameer K. Antani (IEEE Access, 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)

Improved TB classification using bone-suppressed chest radiographs. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Les R. Folio; Philip O. Alderson; Sameer K. Antani (CoRR, 2021)

Multi-loss ensemble deep learning for chest X-ray classification. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; 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)

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)

Open-world active learning for echocardiography view classification. - Ghada Zamzmi; Tochi Oguguo; Sivaramakrishnan Rajaraman; Sameer K. Antani (Computer-Aided Diagnosis, 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; et al. (MILLanD@MICCAI, 2022)

Data Characterization for Reliable AI in Medicine. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Feng Yang 010; Zhiyun Xue; Sameer K. Antani (RTIP2R, 2022)

Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Peng Guo; Zhiyun Xue; Sameer K. Antani (CoRR, 2022)

Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Zhiyun Xue; Sameer K. Antani (CoRR, 2022)

Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. - Feng Yang 010; Pu Xuan Lu; Min Deng; Yi-Xiang J. Wang; Sivaramakrishnan Rajaraman; Zhiyun Xue; Les R. Folio; Sameer K. Antani; Stefan Jäger 001 (Data, 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)

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)

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 (BIBM, 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 (BIBM, 2023)

A Comparative Study of Fairness in Medical Machine Learning. - Tochi Oguguo; Ghada Zamzmi; Sivaramakrishnan Rajaraman; Feng Yang 010; Zhiyun Xue; Sameer K. Antani (ISBI, 2023)

Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. - Zhaohui Liang; Zhiyun Xue; Sivaramakrishnan Rajaraman; Feng Yang 010; Sameer K. Antani (MILLanD@MICCAI, 2023)

Assessing Inter-Annotator Agreement for Medical Image Segmentation. - Feng Yang 010; Ghada Zamzmi; Sandeep Angara; Sivaramakrishnan Rajaraman; André Aquilina; Zhiyun Xue; Stefan Jäger 001; Emmanouil Papagiannakis; Sameer K. Antani (IEEE Access, 2023)

Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Zhiyun Xue; Sameer K. Antani (CoRR, 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 010; Zhaohui Liang; Zhiyun Xue; Sameer K. Antani (CoRR, 2023)

Can deep adult lung segmentation models generalize to the pediatric population? - Sivaramakrishnan Rajaraman; Feng Yang 010; Ghada Zamzmi; Zhiyun Xue; Sameer K. Antani (Expert Syst. Appl., 2023)

Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays. - Sivaramakrishnan Rajaraman; Zhaohui Liang; Zhiyun Xue; Sameer K. Antani (BIBM, 2024)

Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion. - Zhaohui Liang; Zhiyun Xue; Sivaramakrishnan Rajaraman; Sameer K. Antani (SSIAI, 2024)

Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. - Sivaramakrishnan Rajaraman; Ghada Zamzmi; Feng Yang 010; Zhaohui Liang; Zhiyun Xue; Sameer K. Antani (Comput. Medical Imaging Graph., 2024)

Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification. - Sivaramakrishnan Rajaraman; Zhaohui Liang; Zhiyun Xue; Sameer K. Antani (Frontiers Artif. Intell., 2024)

The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification. - Sivaramakrishnan Rajaraman; Zhaohui Liang; Niccolò Marini; Zhiyun Xue; Sameer K. Antani (CBMS, 2025)

Detecting Oral Cancer Using Tabular Deep Learning. - Zhiyun Xue; Zhaohui Liang; Sivaramakrishnan Rajaraman; Niccolò Marini; Sameer K. Antani (COINS, 2025)