Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Richard Kijowski"'
Publikováno v:
Informatics in Medicine Unlocked, Vol 45, Iss , Pp 101444- (2024)
Different pathologies of the hip are characterized by the abnormal shape of the bony structures of the joint, namely the femur and the acetabulum. Three-dimensional (3D) models of the hip can be used for diagnosis, biomechanical simulation, and plann
Externí odkaz:
https://doaj.org/article/0bcb7a6394f44bb49f96e0964ac6d914
Autor:
Haresh Rengaraj Rajamohan, Tianyu Wang, Kevin Leung, Gregory Chang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Current methods for assessing knee osteoarthritis (OA) do not provide comprehensive information to make robust and accurate outcome predictions. Deep learning (DL) risk assessment models were developed to predict the progression of knee OA t
Externí odkaz:
https://doaj.org/article/2be54c251e244660a047431667f0df68
Autor:
Bedros Taslakian, Larry E. Miller, Tarub S. Mabud, William Macaulay, Jonathan Samuels, Mukundan Attur, Erin F. Alaia, Richard Kijowski, Ryan Hickey, Akhilesh K. Sista
Publikováno v:
Osteoarthritis and Cartilage Open, Vol 5, Iss 2, Pp 100342- (2023)
Objective: Genicular artery embolization (GAE) is a novel, minimally invasive procedure for treatment of knee osteoarthritis (OA). This meta-analysis investigated the safety and effectiveness of this procedure. Design: Outcomes of this systematic rev
Externí odkaz:
https://doaj.org/article/001962989ae74fc99ad650ac4a16461a
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
IntroductionFemoroacetabular Impingement (FAI) is a hip pathology characterized by impingement of the femoral head-neck junction against the acetabular rim, due to abnormalities in bone morphology. FAI is normally diagnosed by manual evaluation of mo
Externí odkaz:
https://doaj.org/article/a057e9f6a2964b0e9dbd211788f72abd
Publikováno v:
EJNMMI Physics, Vol 5, Iss 1, Pp 1-15 (2018)
Abstract Background To develop and evaluate the feasibility of a data-driven deep learning approach (deepAC) for positron-emission tomography (PET) image attenuation correction without anatomical imaging. A PET attenuation correction pipeline was dev
Externí odkaz:
https://doaj.org/article/155c3fa7ba2f4e15bb83761480ead468
Autor:
Richard Kijowski, Azadeh Sharafi, Marcelo V. W. Zibetti, Gregory Chang, Martijn A. Cloos, Ravinder R. Regatte
Publikováno v:
Journal of Magnetic Resonance Imaging. 57:1805-1812
Autor:
Marcelo V. W. Zibetti, Rajiv G. Menon, Hector L. de Moura, Xiaoxia Zhang, Richard Kijowski, Ravinder R. Regatte
Publikováno v:
J Magn Reson Imaging
Osteoarthritis (OA) is a widely occurring degenerative joint disease that is severely debilitating and causes significant socioeconomic burdens to society. Magnetic resonance imaging (MRI) is the preferred imaging modality for the morphological evalu
Publikováno v:
Skeletal Radiology.
Publikováno v:
Skeletal Radiology.
Autor:
Richard, Kijowski, Azadeh, Sharafi, Marcelo V W, Zibetti, Gregory, Chang, Martijn A, Cloos, Ravinder R, Regatte
Publikováno v:
Journal of magnetic resonance imaging : JMRIReferences.
Magnetic resonance fingerprinting (MRF) techniques have been recently described for simultaneous multiparameter cartilage mapping of the knee although investigation of their ability to detect early cartilage degeneration remains limited.To investigat