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2. MicroRNA and long non-coding RNA analysis in IgM-monoclonal gammopathies reveals epigenetic influence on cellular functions and oncogenesis

3. Validation of 4D flow cardiovascular magnetic resonance in TIPS stent grafts using a 3D-printed flow phantom

4. Intramyocardial hemorrhage drives fatty degeneration of infarcted myocardium

5. Observations of shoaling internal wave transformation over a gentle slope in the South China Sea

6. Corrigendum: Myosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound

7. Myosteatosis as a Shared Biomarker for Sarcopenia and Cachexia Using MRI and Ultrasound

10. Response to COVID-19 Vaccination Post-CAR T Therapy in Patients With Non-Hodgkin Lymphoma and Multiple Myeloma

16. Ferumoxytol-enhanced magnetic resonance imaging with volume rendering: A new approach for the depiction of internal placental structure in vivo

17. Survival trends in young patients with Waldenström macroglobulinemia: Over five decades of experience

19. Histotripsy of Subcutaneous Fat in a Live Porcine Model

20. Magnetic Resonance Imaging of Liver Fibrosis, Fat, and Iron

21. Liver Fibrosis, Fat, and Iron Evaluation with MRI and Fibrosis and Fat Evaluation with US: A Practical Guide for Radiologists

23. Insurance-based disparities impact survival outcomes in Waldenström macroglobulinemia within the United States

25. Characterization of mesenteric and portal hemodynamics using 4D flow MRI: the effects of meals and diurnal variation

26. Impact of Cell of Origin on Outcomes After Autologous Hematopoietic Cell Transplant in Diffuse Large B-Cell Lymphoma

27. Daratumumab-lenalidomide and daratumumab-pomalidomide in relapsed lenalidomide-exposed or refractory multiple myeloma

28. Supplementary Figure 6 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

29. Supplementary Figure 2 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

30. Data from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

31. Supplementary Figure 4 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

32. Supplementary Figure 8 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

33. Supplementary Data 1 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

35. Supplementary Figure 5 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

36. Supplementary Figure 3 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

37. Supplementary Figure 9 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

38. Supplementary Figure 7 from Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

39. Quantification of Liver Iron Overload with MRI: Review and Guidelines from the ESGAR and SAR

40. Automated <scp>MR</scp> Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation

41. Molecular Clusters and Tumor-Immune Drivers of IgM Monoclonal Gammopathies

42. Multicenter Reproducibility of Liver Iron Quantification with 1.5-T and 3.0-T MRI

43. Validation of liver quantitative susceptibility mapping across imaging parameters at 1.5 T and 3.0 T using SQUID susceptometry as reference

44. Pulmonary MRA During Pregnancy: Early Experience With Ferumoxytol

45. Genomic Pathways Differentiating IgM-MGUS from Waldenstrom Macroglobulinemia: The Integrated microRNA and Gene Expression Landscape

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