Ruckli, Adrian Cyrill

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2021

Hess, H.; Zumstein, M.; Dommer, L.; Schär, M.; Hayoz, A.; Zeng, G.; Ruckli, A.; Burger, J.; Gerber, N.; Gerber, K. (4 June 2021). Automatic shoulder bone segmentation from CT arthrograms based on deep learning. International Journal of Computer Assisted Radiology and Surgery, 16(S1), pp. 90-91. Springer

Ruckli, A.; Schmaranzer, F.; Lerch, T.; Boschung, A.; Steppacher, S.; Burger, J.; Tannast, M.; Siebenrock, K.; Gerber, N.; Gerber, K. (4 June 2021). Deep learning for automatic quantification of AVN of the femoral head on 3D MRI in patients eligible for joint preserving surgery: A pilot study. International Journal of Computer Assisted Radiology and Surgery, 16(S1), S85-S86. Springer-Verlag

Ruckli, Adrian; Schmaranzer, Florian; Lerch, Till; Boschung, Adam; Steppacher, Simon; Burger, Juergen; Tannast, Moritz; Siebenrock, Klaus; Gerber, Kate; Gerber, Nicolas (17 May 2021). Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study (Unpublished). In: Bern Data Science Day 2021. Bern. 23.04.2021. 10.5281/zenodo.4767398

Ruckli, Adrian; Lerch, Till; Boschung, Adam; Steppacher, Simon; Gerber, Nicolas; Gerber, Kate; Burger, Jürgen; Tannast, Moritz; Siebenrock, Klaus; Schmaranzer, Florian (April 2021). Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study. Skeletal radiology, 50, p. 1060. Springer

Ruckli, Adrian Cyrill; Vuilleumier, S; Boschung, A; Lerch, Till; Steppacher, Simon Damian; Tannast, Moritz; Siebenrock, Klaus-Arno; Burger, Jürgen; Gerber, Nicolas; Schmaranzer, Florian (2021). Deep learning for fully-automatic quantification of avascular necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study (Unpublished). In: SCR'21.

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