Flanders, Adam E.
United States Department of Health and Human Services · National Institutes of Health · United States Food and Drug Administration · University of Crete · University of California, San Francisco · University of Ulsan · University Hospital of Heraklion · New York University · University of Pennsylvania · The University of Texas Southwestern Medical Center · Stanford University
4 papers on CoChatORCID 0000-0002-4679-0787
Most cited papers
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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence
Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging
Cited by 570
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Federated learning enables big data for rare cancer boundary detection
Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., et al. (2022) · Nature Communications
Privacy-Preserving Technologies in DataBrain Tumor Detection and Classification
Cited by 394
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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop
Langlotz, C. P., Allen, B., Erickson, B. J., Kalpathy-Cramer, J., Bigelow, K., Cook, T. S., Flanders, A. E., Lungren, M. P., Mendelson, D. S., Rudie, J. D., et al. (2019) · Radiology
Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging
Cited by 368
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Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training
Thakur, S., Doshi, J., Pati, S., Rathore, S., Sako, C., Bilello, M., Ha, S. M., Shukla, G., Flanders, A., Kotrotsou, A., et al. (2020) · NeuroImage
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 84
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