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

5. Deep Learning Based on MRI for Differentiation of Low‐ and High‐Grade in Low‐Stage Renal Cell Carcinoma. Issue 5 (28th March 2020)

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

8. Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data. Issue 10 (26th June 2020)