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Sameer Antani
PeerJ Author
405 Points

Contributions by role

Author 405

Contributions by subject area

Hematology
Infectious Diseases
Computational Science
Data Mining and Machine Learning
Data Science
Bioengineering
Radiology and Medical Imaging

Sameer K Antani

PeerJ Author

Summary

Dr. Antani is a versatile researcher leading several scientific and technical research projects. He applies his expertise in biomedical image informatics, automatic medical image interpretation, machine learning, information retrieval, computer vision, and related topics in computer science and engineering technology toward advancing the role of computational sciences in biomedical research, education, and clinical care. Dr. Antani is a Senior Member of the International Society of Photonics and Optics (SPIE), Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Computer Society and IEEE Engineering in Medicine and Biology Society. He serves as the Vice Chair for Computational Medicine on the IEEE Technical Committee on Computational Life Sciences (TCCLS), and also as Vice Chair for IEEE Life Sciences Technical Community. He is currently an Associate Editor for the IEEE Journal of Biomedical and Health Informatics.

Computational Science Data Mining & Machine Learning Data Science Infectious Diseases

Work details

National Library of Medicine, National Institutes of Health
Lister Hill National Center for Biomedical Communicataions

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 3
March 17, 2020
Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles
Sivaramakrishnan Rajaraman, Incheol Kim, Sameer K. Antani
https://doi.org/10.7717/peerj.8693 PubMed 32211231
May 28, 2019
Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images
Sivaramakrishnan Rajaraman, Stefan Jaeger, Sameer K. Antani
https://doi.org/10.7717/peerj.6977 PubMed 31179181
April 16, 2018
Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images
Sivaramakrishnan Rajaraman, Sameer K. Antani, Mahdieh Poostchi, Kamolrat Silamut, Md. A. Hossain, Richard J. Maude, Stefan Jaeger, George R. Thoma
https://doi.org/10.7717/peerj.4568 PubMed 29682411