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3. Advanced Diffusion-Weighted Abdominal Imaging: Qualitative and Quantitative Comparison of High and Ultra-High b-Values for Lesion Detection and Image Quality. Issue 5 (May 2020)

4. Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma. Issue 1 (21st February 2023)

5. Assessing the predictability of IDH mutation and MGMT methylation status in glioma patients using relaxation-compensated multipool CEST MRI at 7.0 T. Issue 12 (4th May 2018)

6. Assessment of tumor oxygenation and its impact on treatment response in bevacizumab-treated recurrent glioblastoma. Issue 2 (February 2017)

7. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study. Issue 5 (May 2019)

8. Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study. Issue 10 (October 2019)

9. Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility Study. Issue 11 (27th November 2022)

10. Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer. Issue 136 (March 2021)