Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Feliks, Kogan"'
Autor:
Marco Barbieri, Melissa T. Hooijmans, Kevin Moulin, Tyler E. Cork, Daniel B. Ennis, Garry E. Gold, Feliks Kogan, Valentina Mazzoli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This work presents a deep learning approach for rapid and accurate muscle water T2 with subject-specific fat T2 calibration using multi-spin-echo acquisitions. This method addresses the computational limitations of conventional bi-component
Externí odkaz:
https://doaj.org/article/ab954973013242fe868291eeef3d1e49
Publikováno v:
Frontiers in Nuclear Medicine, Vol 3 (2023)
IntroductionAccurately estimating bone perfusion and metabolism using [18F]NaF kinetics from shorter scan times could help address concerns related to patient comfort, motion, and throughput for PET scans. We examined the impact of changing the PET s
Externí odkaz:
https://doaj.org/article/e50771fa0988428d8583d95a48f8f43a
Autor:
Daichi Hayashi, Frank W. Roemer, Thomas Link, Xiaojuan Li, Feliks Kogan, Neil A. Segal, Patrick Omoumi, Ali Guermazi
Publikováno v:
Therapeutic Advances in Musculoskeletal Disease, Vol 14 (2022)
The osteoarthritis (OA) research community has been advocating a shift from radiography-based screening criteria and outcome measures in OA clinical trials to a magnetic resonance imaging (MRI)-based definition of eligibility and endpoint. For conven
Externí odkaz:
https://doaj.org/article/b99a20a971d74fd4b4c40d2155065bb9
Autor:
Elif Seda Selamet Tierney, Latha Palaniappan, Mary Leonard, Jin Long, Jonathan Myers, Tania Dávila, Mavis C. Lui, Feliks Kogan, Inger Olson, Rajesh Punn, Manisha Desai, Lauren M. Schneider, Chih-Hung Wang, John P. Cooke, Daniel Bernstein
Publikováno v:
American Heart Journal. 259:68-78
Publikováno v:
Frontiers in Neurology, Vol 12 (2021)
Diffusion tensor imaging (DTI) measures water diffusion in skeletal muscle tissue and allows for muscle assessment in a broad range of neuromuscular diseases. However, current DTI measurements, typically performed using pulsed gradient spin echo (PGS
Externí odkaz:
https://doaj.org/article/fce19443968c4a98b42adce604e3de65
Autor:
Marco Barbieri, Akshay S. Chaudhari, Catherine J. Moran, Garry E. Gold, Brian A. Hargreaves, Feliks Kogan
Publikováno v:
Magnetic Resonance in Medicine. 89:577-593
Autor:
Andrew M. Schmidt, Arjun D. Desai, Lauren E. Watkins, Hollis A. Crowder, Marianne S. Black, Valentina Mazzoli, Elka B. Rubin, Quin Lu, James W. MacKay, Robert D. Boutin, Feliks Kogan, Garry E. Gold, Brian A. Hargreaves, Akshay S. Chaudhari
Publikováno v:
Journal of Magnetic Resonance Imaging. 57:1029-1039
Deep learning (DL)-based automatic segmentation models can expedite manual segmentation yet require resource-intensive fine-tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine-tuning is not well c
Autor:
Marco Barbieri, Lauren E. Watkins, Valentina Mazzoli, Arjun D. Desai, Elka Rubin, Andrew Schmidt, Garry Evan Gold, Brian Andrew Hargreaves, Akshay Sanjay Chaudhari, Feliks Kogan
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine.
Publikováno v:
American Journal of Roentgenology. 218:405-417
Synovitis, inflammation of the synovial membrane, is a common manifestation in osteoarthritis (OA) and is recognized to play a role in the complex pathophysiology of OA. Increased recognition of the importance of synovitis in the OA disease process a
Publikováno v:
Skeletal Radiology.