Boxerman, Jerrold L.

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

Lotter, W., Diab, A. R., Haslam, B., Kim, J. G., Grisot, G., Wu, E., Wu, K., Onieva, J. O., Boyer, Y., Boxerman, J. L., et al. (2021) · Nature Medicine

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 423

Prognostic value of contrast enhancement and FLAIR for survival in newly diagnosed glioblastoma treated with and without bevacizumab: results from ACRIN 6686

Boxerman, J. L., Zhang, Z., Safriel, Y., Rogg, J. M., Wolf, R. L., Mohan, S., Marques, H., Sorensen, A. G., Gilbert, M. R., & Barboriak, D. P. (2018) · Neuro-Oncology

Glioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

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Value of dynamic contrast perfusion MRI to predict early response to bevacizumab in newly diagnosed glioblastoma: results from ACRIN 6686 multicenter trial

Schmainda, K. M., Prah, M. A., Marques, H., Kim, E., Barboriak, D. P., & Boxerman, J. L. (2021) · Neuro-Oncology

Glioma Diagnosis and TreatmentMRI in cancer diagnosis

Cited by 28

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Mitchell, J. R., Kamnitsas, K., Singleton, K. W., Whitmire, S. A., Clark-Swanson, K. R., Ranjbar, S., Rickertsen, C. R., Johnston, S. K., Egan, K. M., Rollison, D. E., et al. (2020) · Journal of Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

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