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You searched for: Author/Creator Boxerman, Jerrold L

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1. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. Issue 11 (13th June 2019)

2. Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas. Issue 9 (9th June 2020)

3. Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS Lymphoma Collaborative Group (IPCG). Issue 7 (9th February 2021)

4. Deep learning-based automatic tumor burden assessment of pediatric high-grade gliomas, medulloblastomas, and other leptomeningeal seeding tumors. Issue 2 (26th June 2021)

5. Prognostic value of contrast enhancement and FLAIR for survival in newly diagnosed glioblastoma treated with and without bevacizumab: results from ACRIN 6686. Issue 10 (26th March 2018)

6. Radiographic read paradigms and the roles of the central imaging laboratory in neuro-oncology clinical trials. Issue 2 (1st November 2020)