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1. Shear strain and inflammation‐induced fixed charge density loss in the knee joint cartilage following ACL injury and reconstruction: A computational study

4. Prediction of local fixed charge density loss in cartilage following ACL injury and reconstruction: A computational proof-of-concept study with MRI follow-up.

5. Cyclops lesions detected by MRI are frequent findings after ACL surgical reconstruction but do not impact clinical outcome over 2 years

6. Evolution of Intrameniscal Signal-Intensity Alterations Detected on MRI Over 24 Months in Patients With Traumatic Anterior Cruciate Ligament Tear.

9. MR T1ρ quantification of cartilage focal lesions in acutely injured knees: correlation with arthroscopic evaluation

11. OATP1B1-related drug–drug and drug–gene interactions as potential risk factors for cerivastatin-induced rhabdomyolysis

12. Genetic variation in the proximal promoter of ABC and SLC superfamilies: liver and kidney specific expression and promoter activity predict variation.

28. Shear strain and inflammation‐induced fixed charge density loss in the knee joint cartilage following ACL injury and reconstruction: A computational study

31. Genetic investigation of fibromuscular dysplasia identifies risk loci and shared genetics with common cardiovascular diseases

32. High-field magnetic resonance imaging assessment of articular cartilage before and after marathon running: does long-distance running lead to cartilage damage?

37. Interobserver agreement in the classification of rotator cuff tears

38. Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1ρ and T2 imaging

39. Prediction of local fixed charge density loss in cartilage following ACL injury and reconstruction: A computational proof‐of‐concept study with MRI follow‐up

50. Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1p and T2 imaging

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