Sivaramakrishnan Rajaraman

Also affiliated with United States National Library of Medicine

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 43 papers. Top paper: “Novel loss functions for ensemble-based medical image classification”.

Novel loss functions for ensemble-based medical image classification

PLoS ONE(2021)10.1371/journal.pone.0261307

N/A

1.4DataRank · unranked

47 citations

Ghada Zamzmi, Sameer Antani, Sivaramakrishnan Rajaraman

Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays

Diagnostics(2020)10.3390/diagnostics10060358

N/A

0.681DataRank · unranked

93 citations

Sameer Antani, Sivaramakrishnan Rajaraman

Deep learning model calibration for improving performance in class-imbalanced medical image classification tasks

PLoS ONE(2022)10.1371/journal.pone.0262838

N/A

0.661DataRank · unranked

81 citations

Prasanth Ganesan, Sameer Antani, Sivaramakrishnan Rajaraman

Uncertainty Quantification in Segmenting Tuberculosis-Consistent Findings in Frontal Chest X-rays

Biomedicines(2022)10.3390/biomedicines10061323

N/A

0.312DataRank · unranked

7 citations

Ghada Zamzmi, Feng Yang, Zhiyun Xue, Stefan Jaeger, Sameer Antani +1 more

The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification

PubMed(2025)10.1109/cbms65348.2025.00138

N/A

0.165DataRank · unranked

2 citations

Zhaohui Liang, Niccolò Marini, Zhiyun Xue, Sameer Antani, Sivaramakrishnan Rajaraman

Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning

Lecture notes in computer science(2023)10.1007/978-3-031-44917-8_12

N/A

0.165DataRank · unranked

2 citations

Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer Antani, Zhaohui Liang

Interpreting Deep Ensemble Learning through Radiologist Annotations for COVID-19 Detection in Chest Radiographs

medRxiv(2020)10.1101/2020.07.15.20154385

N/A

0DataRank · unranked

4 citations

Sudhir Sornapudi, Philip O. Alderson, Les Folio, Sameer Antani, Sivaramakrishnan Rajaraman

UMS-Rep: Unified modality-specific representation for efficient medical image analysis

Informatics in Medicine Unlocked(2021)10.1016/j.imu.2021.100571

N/A

0DataRank · unranked

17 citations

Sivaramakrishnan Rajaraman, Sameer Antani, Ghada Zamzmi

Trilateral Attention Network for Real-Time Cardiac Region Segmentation

IEEE Access(2021)10.1109/access.2021.3107303

N/A

0DataRank · unranked

11 citations

Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer Antani, Ghada Zamzmi

Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review

Journal of Medical Systems(2022)10.1007/s10916-022-01870-8

N/A

0DataRank · unranked

100 citations

Siva Allu, Sivaramakrishnan Rajaraman, Sameer Antani, KC Santosh

Real-time echocardiography image analysis and quantification of cardiac indices

Medical Image Analysis(2022)10.1016/j.media.2022.102438

N/A

0DataRank · unranked

58 citations

Sivaramakrishnan Rajaraman, Li‐Yueh Hsu, Vandana Sachdev, Sameer Antani, Ghada Zamzmi

Detecting Tuberculosis-Consistent Findings in Lateral Chest X-Rays Using an Ensemble of CNNs and Vision Transformers

Frontiers in Genetics(2022)10.3389/fgene.2022.864724

N/A

0DataRank · unranked

31 citations

Ghada Zamzmi, Les Folio, Sameer Antani, Sivaramakrishnan Rajaraman

DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs

PLoS ONE(2022)10.1371/journal.pone.0265691

N/A

0DataRank · unranked

20 citations

Gregg Cohen, Lillian Spear, Les Folio, Sameer Antani, Sivaramakrishnan Rajaraman

Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases

Data(2022)10.3390/data7070095

N/A

0DataRank · unranked

19 citations

Pu Xuan Lu, Min Deng, Yi-Xiang Wang, Sivaramakrishnan Rajaraman, Zhiyun Xue +4 more

Open-world active learning for echocardiography view classification

Medical Imaging 2022: Computer-Aided Diagnosis(2022)10.1117/12.2612578

N/A

0DataRank · unranked

7 citations

Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer Antani, Ghada Zamzmi

Image Quality Classification for Automated Visual Evaluation of Cervical Precancer

Lecture notes in computer science(2022)10.1007/978-3-031-16760-7_20

N/A

0DataRank · unranked

5 citations

Sandeep Angara, Peng Guo, Sivaramakrishnan Rajaraman, José Jerónimo, Ana Cecilia Rodríguez +13 more

Editorial on Special Issue “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care of Cardiopulmonary Diseases”

Diagnostics(2022)10.3390/diagnostics12112615

N/A

0DataRank · unranked

2 citations

Sameer Antani, Sivaramakrishnan Rajaraman

Assessing Inter-Annotator Agreement for Medical Image Segmentation

IEEE Access(2023)10.1109/access.2023.3249759

N/A

0DataRank · unranked

75 citations

Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue +4 more

Cross Dataset Analysis of Domain Shift in CXR Lung Region Detection

Diagnostics(2023)10.3390/diagnostics13061068

N/A

0DataRank · unranked

16 citations

Feng Yang, Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer Antani, Zhiyun Xue

Evaluation of an artificial intelligence-based system for echocardiographic estimation of right atrial pressure

The International Journal of Cardiovascular Imaging(2023)10.1007/s10554-023-02941-8

N/A

0DataRank · unranked

9 citations

Li‐Yueh Hsu, Sivaramakrishnan Rajaraman, Wen Li, Vandana Sachdev, Sameer Antani +1 more

Can deep adult lung segmentation models generalize to the pediatric population?

Expert Systems with Applications(2023)10.1016/j.eswa.2023.120531

N/A

0DataRank · unranked

8 citations

Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer Antani, Sivaramakrishnan Rajaraman

Data Characterization for Reliable AI in Medicine

Communications in computer and information science(2023)10.1007/978-3-031-23599-3_1

N/A

0DataRank · unranked

7 citations

Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer Antani, Sivaramakrishnan Rajaraman

Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images

medRxiv(2023)10.1101/2023.05.31.23290789

N/A

0DataRank · unranked

1 citations