A novel quantitative metric for joint space width: data from the Osteoarthritis Initiative (OAI) von Paixao, T., DiFranco, M.D., Ljuhar, R., Ljuhar, D., Goetz, C., Bertalan, Z., Dimai, H.P., Nehrer, S.

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Combining Radiographic Texture Parameters Increases Tibiofemoral Osteoarthritis Detection Accuracy: Data from the Osteoarthritis Initiative von Haftner, T.S, Ljuhar, R, Dimai, H.P, Ljuhar, D, Hladuvka, J, Nehrer, S

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A Novel Method for Identifying Radiographic Baseline Risk of Osteoarthritis Using an Anisotropy-Based Texture Analysis Algorithm: Data from the Osteoarthritis Initiative von Ljuhar, R, Haftner, T, Ljuhar, D, Norman, B, Fahrleitner-Pammer, A, Dimai, H.P, Hladuvka, J, Nehrer, S

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Computer-assisted diagnosis and monitoring of degenerative bone diseases von Ljuhar, R, Norman, B, Ljuhar, D, Nehrer, S, Riedl, M, Hladuvka, J, Stiassny, F, Wetzel, C, Westhauser, C

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FRI0545 A Novel Feature Selection Algorithm Based on Bone Micro Architecture Analysis To Identify Osteoarthritis von Ljuhar, R., Norman, B., Ljuhar, D., Haftner, T., Hladuvka, J., Bui Thi Mai, M., Canhão, H., Branco, J., Rodrigues, A.M., Gouveia, N., Nehrer, S., Fahrleitner-Pammer, A., Dimai, H.-P.

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SAT0557 A Clinical Study To Examine Thresholds of Joint Space Width and Joint Space Area for Identification of Knee Osteoarthritis von Ljuhar, R., Nehrer, S., Norman, B., Ljuhar, D., Haftner, T., Hladuvka, J., Bui Thi Mai, M., Canhão, H., Branco, J., Rodrigues, A.-M., Gouveia, N., Fahrleitner-Pammer, A., Dimai, H.-P.

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A novel method for the assessment of knee joint space width and subchondral bone micro architecture von Ljuhar, R, Norman, B, Ljuhar, D, Haftner, T, Hladuvka, J, Canhão, H, Branco, J, Rodrigues, A, Gouveia, N, Nehrer, S, Fahrleitner-Pammer, A, Dimai, H.-P

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Machine learning predicts rate of cartilage loss: data from the osteoarthritis initiative (OAI) and the multicenter osteoarthritis (most) studies von Paixão, T., DiFranco, M., Goetz, C., Ljuhar, R., Meier, P., Nehrer, S.

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Application of machine learning for the prediction of cartilage loss: data from the osteoarthritis initiative & multicenter osteoarthritis study von Paixao, T., Ljuhar, R., Carrino, J.A., Goetz, C., Nehrer, S.

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Combining fractal- and entropy-based bone texture analysis for the prediction of osteoarthritis: data from the multicenter osteoarthritis study (MOST) von Bertalan, Z., Ljuhar, R., Norman, B., Ljuhar, D., Fahrleitner-Pammer, A., Dimai, H.-P., Nehrer, S.

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Artificial intelligence-generated hip radiological measurements are fast and adequate for reliable assessment of hip dysplasia : an external validation study von Archer, Holden, Reine, Seth, Alshaikhsalama, Ahmed, Wells, Joel, Kohli, Ajay, Vazquez, Louis, Hummer, Allan, DiFranco, Matthew D, Ljuhar, Richard, Xi, Yin, Chhabra, Avneesh

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Artificial intelligence in traumatology: a comparative study between conventional and AI-aided diagnostic performance in distal radius fractures von Breu, Rosmarie, Avelar, Carolina, Bertalan, Zsolt, Grillari, Johannes, Redl, Heinz, Ljuhar, Richard, Quadlbauer, Stefan, Hausner, Thomas

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Deep Learning-basierte Prädiktion der mechanischen Beinachse anhand von Knie-Röntgenbildern von Chen, K., Lepenik, C., Stotter, C., Klestil, T., Ljuhar, R., Salzlechner, C., Nehrer, S.

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A novel method for the assessment of knee joint space width and subchondral bone micro architecture von Ljuhar, R., Norman, B., Haftner, T., Hladuvka, J., Rodrigues, A., Fahrleitner-Pammer, A., Dimai, H.-P.

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Automatisierte Röntgendiagnostik an der Hüfte von Stotter, C., Gruber, M., DiFranco, M.D., Götz, C., Bertalan, Z., Ljuhar, R., Nehrer, S.

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PREDICTING MECHANICAL LEG ALIGNMENT FROM KNEE X-RAY IMAGES BY UTILIZING DEEP-LEARNING NEURAL NETWORKS von Salzlechner, C., Lepenik, C., Chen, K., Stotter, C., Klestil, T., Ljuhar, R., Nehrer, S.

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Long-Term Impact of a Low-Cost Paediatric Intussusception Air Enema Reduction Simulation-Based Education Programme in a Low-Middle Income Country von Nataraja, R. M., Yin Mar Oo, Ljuhar, D., Pacilli, M., Nyo Nyo Win, Stevens, S., Aye Aye, Nestel, D.

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Overview of a novel paediatric surgical simulation‐based medical education programme in Myanmar von Nataraja, Ramesh M., Oo, Yin Mar, Ljuhar, Damir, Webb, Nathalie R., Pacilli, Maurizio, Win, Nyo Nyo, Aye, Aye

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