Fripp J - Search Results

1

Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee.

Fripp J, Crozier S, Warfield SK, Ourselin S. Fripp J, et al. IEEE Trans Med Imaging. 2010 Jan;29(1):55-64. doi: 10.1109/TMI.2009.2024743. Epub 2009 Jun 10. IEEE Trans Med Imaging. 2010. PMID: 19520633 Free PMC article.

2

Moderators, Mediators, and Prognostic Indicators of Treatment With Hip Arthroscopy or Physical Therapy for Femoroacetabular Impingement Syndrome: Secondary Analyses From the Australian FASHIoN Trial.

Murphy NJ, Eyles J, Spiers L, Davidson E, Kim YJ, Linklater JM, Afacan O, Bennell KL, Burns A, Diamond LE, Dickenson E, Fary C, Foster NE, Fripp J, Grieve SM, Griffin DR, Heller G, Molnar R, Neubert A, O'Donnell J, O'Sullivan M, Randhawa S, Reichenbach S, Singh P, Tran P, Hunter DJ. Murphy NJ, et al. Among authors: fripp j. Am J Sports Med. 2023 Jan;51(1):141-154. doi: 10.1177/03635465221136547. Epub 2022 Nov 25. Am J Sports Med. 2023. PMID: 36427015 Clinical Trial.

3

Rates of regional tau accumulation in ageing and across the Alzheimer's disease continuum: an AIBL ¹⁸F-MK6240 PET study.

Krishnadas N, Doré V, Robertson JS, Ward L, Fowler C, Masters CL, Bourgeat P, Fripp J, Villemagne VL, Rowe CC. Krishnadas N, et al. Among authors: fripp j. EBioMedicine. 2023 Feb;88:104450. doi: 10.1016/j.ebiom.2023.104450. Epub 2023 Jan 27. EBioMedicine. 2023. PMID: 36709581 Free PMC article.

4

Plasma p-tau181/Aβ_1-42 ratio predicts Aβ-PET status and correlates with CSF-p-tau181/Aβ_1-42 and future cognitive decline.

Fowler CJ, Stoops E, Rainey-Smith SR, Vanmechelen E, Vanbrabant J, Dewit N, Mauroo K, Maruff P, Rowe CC, Fripp J, Li QX, Bourgeat P, Collins SJ, Martins RN, Masters CL, Doecke JD. Fowler CJ, et al. Among authors: fripp j. Alzheimers Dement (Amst). 2022 Nov 25;14(1):e12375. doi: 10.1002/dad2.12375. eCollection 2022. Alzheimers Dement (Amst). 2022. PMID: 36447478 Free PMC article.

5

The use of unwrapped phase in MR image segmentation: a preliminary study.

Bourgeat P, Fripp J, Janke A, Galloway G, Crozier S, Ourselin S. Bourgeat P, et al. Among authors: fripp j. Med Image Comput Comput Assist Interv. 2005;8(Pt 2):813-20. Med Image Comput Comput Assist Interv. 2005. PMID: 16686035

6

Automatic segmentation of the bone and extraction of the bone-cartilage interface from magnetic resonance images of the knee.

Fripp J, Crozier S, Warfield SK, Ourselin S. Fripp J, et al. Phys Med Biol. 2007 Mar 21;52(6):1617-31. doi: 10.1088/0031-9155/52/6/005. Epub 2007 Feb 27. Phys Med Biol. 2007. PMID: 17327652

7

MR image segmentation using phase information and a novel multiscale scheme.

Bourgeat P, Fripp J, Stanwell P, Ramadan S, Ourselin S. Bourgeat P, et al. Among authors: fripp j. Med Image Comput Comput Assist Interv. 2006;9(Pt 2):920-7. doi: 10.1007/11866763_113. Med Image Comput Comput Assist Interv. 2006. PMID: 17354861

8

MR image segmentation of the knee bone using phase information.

Bourgeat P, Fripp J, Stanwell P, Ramadan S, Ourselin S. Bourgeat P, et al. Among authors: fripp j. Med Image Anal. 2007 Aug;11(4):325-35. doi: 10.1016/j.media.2007.03.003. Epub 2007 Mar 30. Med Image Anal. 2007. PMID: 17482502

9

Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information.

Fripp J, Bourgeat P, Crozier S, Ourselin S. Fripp J, et al. Acad Radiol. 2007 Oct;14(10):1201-8. doi: 10.1016/j.acra.2007.06.021. Acad Radiol. 2007. PMID: 17889337

10

Automatic segmentation of articular cartilage in magnetic resonance images of the knee.

Fripp J, Crozier S, Warfield SK, Ourselin S. Fripp J, et al. Med Image Comput Comput Assist Interv. 2007;10(Pt 2):186-94. doi: 10.1007/978-3-540-75759-7_23. Med Image Comput Comput Assist Interv. 2007. PMID: 18044568

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