Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Cootes TF"'
Autor:
van Buuren, MM, Ahedi, H, Arbabi, V, Arden, NK, Bierma-Zeinstra, SM, Boer, CG, Cicuttini, FM, Cootes, TF, Felson, DT, Gielis, WP, Jones, G, Lane, NE, Lindner, C, Lynch, J, van Meurs, JB, Nelson, AE, Nevitt, MC, Oei, EH, Riedstra, NS, Runhaar, J, Spector, TD, Tang, J, Weinans, H, Agricola, R
Publikováno v:
Osteoarthritis and Cartilage. 30:S253-S254
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef66ce76897a034efe384f1096ed276a
https://doi.org/10.1016/j.joca.2022.02.345
https://doi.org/10.1016/j.joca.2022.02.345
Autor:
Perry, TA, Gait, A, O'Neill, TW, Parkes, MJ, Hodgson, R, Callaghan, MJ, Arden, NK, Felson, DT, Cootes, TF
Publikováno v:
Perry, T, Gait, A, O'Neill, T, Parkes, M, Hodgson, R, Callaghan, M J, Arden, N K, Felson, D & Cootes, T 2019, ' Measurement of synovial tissue volume in knee osteoarthritis using a semiautomated MRI-based quantitative approach. ', Magn Reson Med, vol. 81, no. 5, pp. 3056-3064 . https://doi.org/10.1002/mrm.27633
© 2019 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. Purpose: Synovitis is common in knee osteoarthritis and is associated with both knee pain a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::70cb2f953ec2d144257c6c62427f9ad1
https://e-space.mmu.ac.uk/622796/
https://e-space.mmu.ac.uk/622796/
Recent work has shown that using Random Forests (RFs) to vote for the optimal position of model feature points leads to robust and accurate shape model matching. This paper applies RF regression-voting as part of a fully automatic shape model matchin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2295::9e1afb15139e6d1882de80b4a2130f6e
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:205786
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:205786
Extraction of bone contours from radiographs plays an important role in disease diagnosis, pre-operative planning, and treatment analysis. We present a fully automatic method to accurately segment the proximal femur in anteroposterior pelvic radiogra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2295::80750a0b25b22848dbf3988b9ff8bfa4
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:205787
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:205787
Publikováno v:
Cootes, TF, Taylor, CJ, Cooper, DH & Graham, J 1994, Image search using trained flexible shape models . in Advances in Applied Statistics . 1-2 edn, vol. 21, Carfax Publishing Ltd, Abingdon, pp. 111-139 . < http://www.tandfonline.com/doi/pdf/10.1080/757582971?needAccess=true >
This paper describes a technique for building compact models of the shape and appearance of flexible objects seen in two-dimensional images. The models are derived from the statistics of sets of images of example objects with 'landmark' points labell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3818::19b75c7466ea9b6c4ebf73a7d463def9
https://www.research.manchester.ac.uk/portal/en/publications/image-search-using-trained-flexible-shape-models(73574c38-95d9-4fe1-8caa-836cd2470103).html
https://www.research.manchester.ac.uk/portal/en/publications/image-search-using-trained-flexible-shape-models(73574c38-95d9-4fe1-8caa-836cd2470103).html
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