Freymann, John
Frederick National Laboratory for Cancer Research · Leidos Biomedical Research Inc. (United States)
6 papers on CoChatORCID 0000-0002-7211-0095
Most cited papers
- Verified
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., et al. (2013) · Journal of Digital Imaging
Research Data Management PracticesData Analysis and Archiving
Cited by 4,599
- Verified
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K., & Davatzikos, C. (2017) · Scientific Data
Radiomics and Machine Learning in Medical ImagingBrain Tumor Detection and Classification
Cited by 3,049
- Verified
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
Armato, S. G., McLennan, G., Bidaut, L., McNitt‐Gray, M. F., Meyer, C. R., Reeves, A. P., Zhao, B., Aberle, D. R., Henschke, C. I., Hoffman, E. A., et al. (2011) · Medical Physics
Lung Cancer Diagnosis and TreatmentAI in cancer detection
Cited by 2,887
- Verified
Segmentation Labels for the Pre-operative Scans of the TCGA-GBM collection
Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J., Freymann, J., Farahani, K., & Davatzikos, C. (2017) · The Cancer Imaging Archive
Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging
Cited by 316
- Verified
Segmentation Labels for the Pre-operative Scans of the TCGA-LGG collection
Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J., Freymann, J., Farahani, K., & Davatzikos, C. (2017) · The Cancer Imaging Archive
Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging
Cited by 290
- Verified
Using computer‐extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
Burnside, E. S., Drukker, K., Li, H., Bonaccio, E., Zuley, M., Ganott, M., Net, J. M., Sutton, E. J., Brandt, K. R., Whitman, G. J., et al. (2016) · Cancer
MRI in cancer diagnosisRadiomics and Machine Learning in Medical Imaging
Cited by 71
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