Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Richard Ljuhar"'
Autor:
Rosmarie Breu, Carolina Avelar, Zsolt Bertalan, Johannes Grillari, Heinz Redl, Richard Ljuhar, Stefan Quadlbauer, Thomas Hausner
Publikováno v:
Bone & Joint Research, Vol 13, Iss 10, Pp 588-595 (2024)
Aims: The aim of this study was to create artificial intelligence (AI) software with the purpose of providing a second opinion to physicians to support distal radius fracture (DRF) detection, and to compare the accuracy of fracture detection of physi
Externí odkaz:
https://doaj.org/article/467a4d54a3e94e08a4a3e60f84ceacde
Autor:
Holden Archer, Seth Reine, Ahmed Alshaikhsalama, Joel Wells, Ajay Kohli, Louis Vazquez, Allan Hummer, Matthew D. DiFranco, Richard Ljuhar, Yin Xi, Avneesh Chhabra
Publikováno v:
Bone & Joint Open, Vol 3, Iss 11, Pp 877-884 (2022)
AimsHip dysplasia (HD) leads to premature osteoarthritis. Timely detection and correction of HD has been shown to improve pain, functional status, and hip longevity. Several time-consuming radiological measurements are currently used to confirm HD. A
Externí odkaz:
https://doaj.org/article/f4ff5c9d311149818cd2fd535a0ebc59
Autor:
Ahmad Almhdie-Imjabbar, Pawel Podsiadlo, Richard Ljuhar, Rachid Jennane, Khac-Lan Nguyen, Hechmi Toumi, Simo Saarakkala, Eric Lespessailles
Publikováno v:
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-13 (2021)
Abstract Background Trabecular bone texture analysis (TBTA) has been identified as an imaging biomarker that provides information on trabecular bone changes due to knee osteoarthritis (KOA). Consequently, it is important to conduct a comprehensive re
Externí odkaz:
https://doaj.org/article/d31019d4d3b34b75b2048aa8bc50365b
Publikováno v:
In Procedia CIRP 2014 21:467-472
Autor:
Markus Neubauer, Lukas Moser, Johannes Neugebauer, Marcus Raudner, Barbara Wondrasch, Magdalena Führer, Robert Emprechtinger, Dietmar Dammerer, Richard Ljuhar, Christoph Salzlechner, Stefan Nehrer
Publikováno v:
Journal of Clinical Medicine; Volume 12; Issue 3; Pages: 744
Background: Radiographic knee osteoarthritis (OA) severity and clinical severity are often dissociated. Artificial intelligence (AI) aid was shown to increase inter-rater reliability in radiographic OA diagnosis. Thus, AI-aided radiographic diagnoses
Autor:
Richard Ljuhar, Khac-Lan Nguyen, Rachid Jennane, Pawel Podsiadlo, Hechmi Toumi, Eric Lespessailles, A. Almhdie-Imjabbar, Simo Saarakkala
Publikováno v:
Arthritis Research & Therapy
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-13 (2021)
Arthritis Research & Therapy, Vol 23, Iss 1, Pp 1-13 (2021)
Background Trabecular bone texture analysis (TBTA) has been identified as an imaging biomarker that provides information on trabecular bone changes due to knee osteoarthritis (KOA). Consequently, it is important to conduct a comprehensive review that
Autor:
Prof. Dr. Fritz Scheuch, Prof. Dr. Rainer Hasenauer, Prof. Dr. Herbert Störi, Dr. Markus Pietzka, Dr. Wolfgang Schildorfer, Prof. Dr. Peter Filo, Prof. Dr. Jaroslav Jerz, Dr. Jozef Orgonaš, Prof. Dr. Milan Sokol, Mag. Anna Bohrn, Mag. Stefan Gratzl, Dipl.-Ing. Davul Ljuhar, Dr. Richard Ljuhar, Schön, Christian, Descovich, Philipp, Dr. Michael Gervautz, Mag. Norbert Zimmermann, MA Michael Kieslinger, Dr. Sabine Jung-Waclik, Dr. Thomas Wirth, Arens, Isabel, Bovenkamp, Daniele, Fessler, Jeremias, Holzer, Lisa, Klee, Günther, Krösen, Marco, Maurer, Alexander, Metzker, Roman, Patak, Johannes, Prácser, Lilla, Rodharth, Katharina, Schloffer, Stefanie, Scholz, Charlotte, Paholková, Barbora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c3cab65a98f8574251bc0dcdf257b93