Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Cem M. Deniz"'
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
Publikováno v:
Skeletal Radiology.
Autor:
Erik B Dam, Arjun D Desai, Cem M Deniz, Haresh R Rajamohan, Ravinder Regatte, Claudia Iriondo, Valentina Pedoia, Sharmila Majumdar, Mathias Perslev, Christian Igel, Akshay Pai, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Hasan Maqbool, Ismail Irmakci, Sang-Eun Song, Ulas Bagci, Brian Hargreaves, Garry Gold, Akshay Chaudhari
Publikováno v:
Osteoarthritis Imaging. 3:100087
Autor:
Krzysztof J. Geras, Cem M. Deniz, Kyunghyun Cho, Gregory Chang, Kevin Leung, Yiqiu Shen, Bofei Zhang, James S. Babb, Jimin Tan
Publikováno v:
Radiology
BACKGROUND: The methods for assessing knee osteoarthritis (OA) do not provide enough comprehensive information to make robust and accurate outcome predictions. PURPOSE: To develop a deep learning (DL) prediction model for risk of OA progression by us
Publikováno v:
Magn Reson Med
PURPOSE: This study investigates the implications of all degrees of freedom of within-scan patient head motion on patient safety. METHODS: Electromagnetic simulations were performed by displacing and/or rotating a virtual body model inside an 8-chann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e7739af82b04e17c9661ff0d827de5d
https://europepmc.org/articles/PMC7396298/
https://europepmc.org/articles/PMC7396298/
Publikováno v:
ISBI
Knee osteoarthritis (OA) is a chronic degenerative disorder of joints and it is the most common reason leading to total knee joint replacement. Diagnosis of OA involves subjective judgment on symptoms, medical history, and radiographic readings using
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Osteoarthritis (OA) is a chronic degenerative disorder of joints and is the most common reason leading to total knee joint replacement (TKR). In this paper, we implemented a semi-supervised learning approach based on Unsupervised Data Augmentation (U
Autor:
Cem M. Deniz, Daniel K. Sodickson, Ryan Brown, Leeor Alon, Riccardo Lattanzi, Christopher M. Collins, Karthik Lakshmanan
Publikováno v:
Magnetic Resonance in Medicine. 80:1233-1242
Autor:
Leeor Alon, Jacco A. de Zwart, Carlotta Ianniello, Riccardo Lattanzi, Jae-Seung Lee, Ryan Brown, Cem M. Deniz, Qi Duan
Publikováno v:
Magnetic Resonance in Medicine. 80:413-419
Purpose To explore the use of polyvinylpyrrolidone (PVP) for simulated materials with tissue-equivalent dielectric properties. Methods PVP and salt were used to control, respectively, relative permittivity and electrical conductivity in a collection