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1.
Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry.
J Magn Reson Imaging
; 57(4): 1029-1039, 2023 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-35852498
2.
Effects of the Competitive Season and Off-Season on Knee Articular Cartilage in Collegiate Basketball Players Using Quantitative MRI: A Multicenter Study.
J Magn Reson Imaging
; 54(3): 840-851, 2021 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-33763929
3.
Five-minute knee MRI for simultaneous morphometry and T2 relaxometry of cartilage and meniscus and for semiquantitative radiological assessment using double-echo in steady-state at 3T.
J Magn Reson Imaging
; 47(5): 1328-1341, 2018 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-29090500
4.
Validation of watershed-based segmentation of the cartilage surface from sequential CT arthrography scans.
Quant Imaging Med Surg
; 12(1): 1-14, 2022 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-34993056
5.
Characterizing the transient response of knee cartilage to running: Decreases in cartilage T2 of female recreational runners.
J Orthop Res
; 39(11): 2340-2352, 2021 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-33483997
6.
Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep Learning.
Cartilage
; 13(1_suppl): 747S-756S, 2021 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-34496667
7.
The prevalence of femoroacetabular impingement anatomy in Division 1 aquatic athletes who tread water.
J Hip Preserv Surg
; 7(2): 233-241, 2020 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-33163207
8.
The effect of wedge and tibial slope angles on knee contact pressure and kinematics following medial opening-wedge high tibial osteotomy.
Clin Biomech (Bristol, Avon)
; 51: 17-25, 2018 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-29154178
9.
Making Safe Surgery Affordable: Design of a Surgical Drill Cover System for Scale.
J Orthop Trauma
; 29 Suppl 10: S29-32, 2015 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-26356212
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