Sameer Antani

National Institutes of Health — United States

Computer Science · Physical Sciences

58h-index15.3kcitations435works2.02yr avg
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Research Topics

AI in cancer detection(159), Image Retrieval and Classification Techniques(152), COVID-19 diagnosis using AI(86), Radiomics and Machine Learning in Medical Imaging(74), Advanced Image and Video Retrieval Techniques(67)

Publications435 total

Detecting Oral Cancer Using Tabular Deep Learning
2025· 1 citedOpen Access
Combining Real and Synthetic Data to Overcome Limited Training Datasets in Multimodal Learning
2025Open Access
Validation of an AI-enabled exome/transcriptome liquid biopsy platform for early detection, MRD, disease monitoring, and therapy selection for solid tumors
Scientific Reports·2025· 4 citedOpen Access
The Hidden Threat of Hallucinations in Binary Chest X-Ray Pneumonia Classification
2025· 2 citedOpen Access
Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next
2025Open Access
Artificial Intelligence-based Diagnosis of Kaposi Sarcoma using Photographs in Dark-skinned Patients
2025Open Access
Ensembled YOLO for multiorgan detection in chest x-rays
2025· 2 citedOpen Access
Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays
2024· 2 citedOpen Access
Editorial on Special Issue “Artificial Intelligence in Image-Based Screening, Diagnostics, and Clinical Care”
Diagnostics·2024· 1 citedOpen Access
Noise-induced modality-specific pretext learning for pediatric chest X-ray image classification
Frontiers in Artificial Intelligence·2024Open Access
Automated quantification of SARS-CoV-2 pneumonia with large vision model knowledge adaptation
New Microbes and New Infections·2024· 1 citedOpen Access
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays
Computerized Medical Imaging and Graphics·2024· 10 citedOpen Access
Cleaning and harmonizing medical image data for reliable AI: Lessons learned from longitudinal oral cancer natural history study data
2024· 4 citedOpen Access
Spatio-Functional Parcellation of Resting State fMRI
2024· 1 citedOpen Access
Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion
2024Open Access
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric chest X-ray images
PLOS Digital Health·2024· 3 citedOpen Access
Reproducible and clinically translatable deep neural networks for cervical screening
Scientific Reports·2023· 25 citedOpen Access
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic
2023
A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy
2023· 1 cited
The Need for Artificial Intelligence Curriculum in Military Medical Education
Military Medicine·2023· 9 citedOpen Access
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Frequent Co-authors

George R. Thoma(19), L. Rodney Long(17), Stefan Jaeger(12), Zhiyun Xue(12), Sema Candemir(10), Sivaramakrishnan Rajaraman(9), Alexandros Karargyris(6), Dina Demner‐Fushman(5), KC Santosh(5), Les Folio(4), Jenifer Siegelman(4), Grid Thoma(4), Marc Kohli(3), Clement J. McDonald(3), Kannappan Palaniappan(3), Mahdieh Poostchi(3), Richard J. Maude(3), Brian Befano(3), Mark Schiffman(3), Szilárd Vajda(3)