Stefan Jaeger

National Institutes of Health — United States

Medicine · Health Sciences

35h-index7.6kcitations133works1.52yr avg
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Research Topics

COVID-19 diagnosis using AI(31), Digital Imaging for Blood Diseases(21), Radiomics and Machine Learning in Medical Imaging(20), Handwritten Text Recognition Techniques(19), AI in cancer detection(16)

Publications133 total

Automated multi-lesion annotation in chest x-rays: annotating over 450,000 images from public datasets using the AI-based smart imagery framing and truthing (SIFT) system
2025
Development of an AI-based smart imagery framing and truthing (SIFT) system to annotate pulmonary abnormalities with corresponding boundaries based on CT images
2025
Semantic segmentation of TB in chest x-rays: a new dataset and generalization evaluation
2025· 1 cited
Engineering tunable decoherence-free subspaces with collective atom-cavity interactions
arXiv (Cornell University)·2024Open Access
Double-Bayesian Learning
arXiv (Cornell University)·2024Open Access
Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study
Journal of X-Ray Science and Technology·2024Open Access
Automated Pulmonary Tuberculosis Severity Assessment on Chest X-rays
Journal of Imaging Informatics in Medicine·2024· 11 citedOpen Access
Using artificial intelligence for chest radiograph interpretation: a retrospective multi-reader-multi-case (MRMC) study of the automatic detection of multiple abnormalities and generation of diagnostic report system
2024
Evaluating the performance of hyperparameters for unbiased and fair machine learning
2024· 1 cited
High Throughput Determination of Infectious Virus Titers by Kinetic Measurement of infection-Induced Changes in Cell Morphology
Preprints.org·2024· 2 citedOpen Access
Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep learning models
2023
Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images
2023· 4 cited
Patient-level performance evaluation of a smartphone-based malaria diagnostic application
Malaria Journal·2023· 31 citedOpen Access
Combining Radiological and Genomic TB Portals Data for Drug Resistance Analysis
IEEE Access·2023· 4 citedOpen Access
Assessing Inter-Annotator Agreement for Medical Image Segmentation
IEEE Access·2023· 64 citedOpen Access
Additional file 5 of Patient-level performance evaluation of a smartphone-based malaria diagnostic application
Figshare·2023Open Access
Investigations on Artificial Intelligence with Its Application to Diagnosis of Drug-Resistant Pulmonary Tuberculosis
2023
Early administration of remdesivir may reduce mortality in hospitalized COVID-19 patients
Wiener klinische Wochenschrift·2022· 5 citedOpen Access
Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases
Data·2022· 18 citedOpen Access
Increasing the Excitatory Drive Rescues Excitatory/Inhibitory Imbalance and Mismatch Negativity Deficit Caused by Parvalbumin Specific GluA1 Deletion
Neuroscience·2022· 9 citedOpen Access
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Frequent Co-authors

Sameer Antani(24), George R. Thoma(16), Sema Candemir(15), Richard J. Maude(11), Zhiyun Xue(9), Feng Yang(9), Kannappan Palaniappan(8), Mahdieh Poostchi(8), Alexandros Karargyris(7), David Doermann(7), Les Folio(6), Sivaramakrishnan Rajaraman(6), Kamolrat Silamut(6), Ilker Ersoy(6), Yefeng Zheng(4), Yasmin M. Kassim(4), Fleming Lure(4), Yì Wáng(3), Jenifer Siegelman(3), Grid Thoma(3)