World's Best Scientists 2026 revealed!

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Computer Science

D-Index
61
Citations
16521
World Ranking
3041
National Ranking
1487

Overview

Sameer Antani is affiliated with the National Institutes of Health in the United States. Their research spans multiple disciplines, primarily focusing on medicine and computer science, with a significant emphasis on radiology, artificial intelligence, and computer vision. Antani's work contributes to applied areas such as epidemiology and oncology, reflecting a broad engagement with medical imaging and diagnostic technologies.

Antani's publication record includes contributions to a range of journals and conference proceedings, with frequent appearances in venues such as:

  • arXiv (Cornell University)
  • Diagnostics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Access
  • PLoS ONE

The scientist has engaged in research addressing diverse topics, including:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Radiomics and machine learning in medical imaging
  • Cervical cancer and HPV research
  • Infectious diseases and tuberculosis
  • Digital imaging for blood diseases
  • Lung cancer diagnosis and treatment

Antani has co-authored extensively with several researchers, including Sivaramakrishnan Rajaraman, Zhiyun Xue, Ghada Zamzmi, L. Rodney Long, and Mark Schiffman. These collaborations indicate a focus on interdisciplinary approaches combining medical expertise with advanced computational techniques.

Among the recent notable papers by Antani are:

  • Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays (2020, PubMed Central)
  • Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs (2020, IEEE Access)
  • Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification (2020, Medical Image Analysis)
  • Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears (2020, IEEE Journal of Biomedical and Health Informatics)
  • Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays (2020, Diagnostics)

In addition to journal articles, Antani has authored a book titled Medical Image Learning with Limited and Noisy Data, published in 2022 by Springer Science+Business Media. This work addresses challenges in medical image analysis under constraints of limited and imperfect data.

Best Publications

  • Preparing a collection of radiology examinations for distribution and retrieval

    Dina Demner-Fushman;Marc D. Kohli;Marc B. Rosenman;Sonya E. Shooshan

  • Two public chest X-ray datasets for computer-aided screening of pulmonary diseases.

    Stefan Jaeger;Sema Candemir;Sameer Antani;Yì-Xiáng J. Wáng

  • Automatic Tuberculosis Screening Using Chest Radiographs

    Stefan Jaeger;Alexandros Karargyris;Sema Candemir;Les Folio

  • Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

    Sema Candemir;Stefan Jaeger;Kannappan Palaniappan;Jonathan P. Musco

  • A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video

    Sameer K. Antani;Rangachar Kasturi;Ramesh C. Jain

  • 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

  • Histology image analysis for carcinoma detection and grading

    Lei He;L. Rodney Long;Sameer Antani;George R. Thoma

  • An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

    Liming Hu;David Bell;Sameer Antani;Zhiyun Xue

  • Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays

    Sivaramakrishnan Rajaraman;Jenifer Siegelman;Philip O. Alderson;Lucas S. Folio

  • CNN-based image analysis for malaria diagnosis

    Zhaohui Liang;Andrew Powell;Ilker Ersoy;Mahdieh Poostchi

  • Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs.

    Sivaramakrishnan Rajaraman;Sema Candemir;Incheol Kim;George Thoma

  • Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears

    Feng Yang;Mahdieh Poostchi;Hang Yu;Zhou Zhou

  • Multimodal Recurrent Model with Attention for Automated Radiology Report Generation

    Yuan Xue;Tao Xu;L. Rodney Long;Zhiyun Xue

  • Ontology of gaps in content-based image retrieval.

    Thomas Martin Deserno;Thomas Martin Deserno;Sameer K. Antani;L. Rodney Long

  • Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

    Jayashree Kalpathy-Cramer;Alba Garcia Seco de Herrera;Dina Demner-Fushman;Sameer K. Antani

  • A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback

    M. Rahman;S. Antani;G. Thoma

  • Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

    Sivaramakrishnan Rajaraman;Stefan Jaeger;Sameer K Antani

  • How far have we come? Artificial intelligence for chest radiograph interpretation.

    K Kallianos;J Mongan;Sameer Antani;T Henry

  • Overview of the ImageCLEF 2013 medical tasks

    Alba Garcia Seco de Herrera;Jayashree Kalpathy-Cramer;Dina Demner-Fushman;Sameer K. Antani

  • Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs.

    Szilárd Vajda;Alexandros Karargyris;Stefan Jaeger;K.C. Santosh

  • The accuracy of colposcopic grading for detection of high-grade cervical intraepithelial neoplasia

    L. Stewart Massad;L. Stewart Massad;Jose Jeronimo;Hormuzd A. Katki;Mark Schiffman

Frequent Co-Authors

George R. Thoma
George R. Thoma National Institutes of Health
Dina Demner-Fushman
Dina Demner-Fushman National Institutes of Health
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
William V. Stoecker
William V. Stoecker Missouri University of Science and Technology
Rangachar Kasturi
Rangachar Kasturi University of South Florida
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Kannappan Palaniappan
Kannappan Palaniappan University of Missouri
Hayit Greenspan
Hayit Greenspan Tel Aviv University
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology

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