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Number of items at this level: 14.

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

Lerch, Till D.; Zwingelstein, Sébastien; Schmaranzer, Florian; Boschung, Adam; Hanke, Markus S.; Todorski, Inga A. S.; Steppacher, Simon D.; Gerber, Nicolas; Zeng, Guodong; Siebenrock, Klaus A.; Tannast, Moritz (2021). Posterior Extra-articular Ischiofemoral Impingement Can Be Caused by the Lesser and Greater Trochanter in Patients With Increased Femoral Version: Dynamic 3D CT–Based Hip Impingement Simulation of a Modified FABER Test. Orthopaedic journal of sports medicine, 9(5), p. 2325967121990629. Sage Publications 10.1177/2325967121990629

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necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study (Unpublished).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

Zeng, Guodong; Schmaranzer, Florian; Lerch, Till D.; Boschung, Adam; Zheng, Guoyan; Burger, Juergen; Gerber, Kate; Tannast, Moritz; Siebenrock, K.; Kim, Young-Jo; Novais, Eduardo; Gerber, Nicolas (23 April 2021). Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI (Unpublished). In: Bern Data Science Day 2021. 23.04.2021. 10.5281/zenodo.4767469

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

Zeng, Guodong; Schmaranzer, Florian; Degonda, Celia; Gerber, Nicolas; Gerber, Kate; Tannast, Moritz; Burger, Jürgen; Siebenrock, Klaus A.; Zheng, Guoyan; Lerch, Till (2021). MRI-based 3D models of the hip joint enables radiation-free computer-assisted planning of periacetabular osteotomy for treatment of hip dysplasia using deep learning for automatic segmentation. European journal of radiology open, 8, p. 100303. Elsevier 10.1016/j.ejro.2020.100303

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.

2020

Lerch, T; Zeng, G; Schmaranzer, F; Boschung, A; Gerber, N; Siebenrock, K-A; Tannast, M (November 2020). Fast Automatic Bone Segmentation Using Machine Learning for MRI Based Dynamic 3d Hip Impingement Simulation Based on t1 VIBE DIXON of the Pelvis in Routine MRI (Unpublished). In: RSNA 2020.

Lerch, Till; Schmaranzer, Florian; Boschung, Adam; Zeng, Guodong; Gerber, Nicolas; Siebenrock, Klaus-Arno; Tannast, Moritz (November 2020). Valgus and Increased Acetabular Version Can Aggravate Posterior Extraarticular Ischiofemoral Femoroacetabular Impingement in Patients With Increased Femoral Version in Dynamic Impingement Simulation (Unpublished). In: RSNA 2020.

Zeng, Guodong; Schmaranzer, Florian; Lerch, Till; Boschung, Adam; Zheng, Guoyan; Burger, Jürgen; Gerber, Kate; Tannast, Moritz; Siebenrock, Klaus-Arno; Kim, Young-Jo; Novais, Eduardo N.; Gerber, Nicolas (1 September 2020). Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI. Lecture notes in computer science, 12261, pp. 447-456. Springer 10.1007/978-3-030-59710-8_44

Gerber, Nicolas; Carrillo, Fabio; Abegg, Daniel; Sutter, Reto; Zheng, Guoyan; Fürnstahl, Philipp (2020). Evaluation of CT-MR image registration methodologies for 3D preoperative planning of forearm surgeries. Journal of orthopaedic research, 38(9), pp. 1920-1930. Wiley 10.1002/jor.24641

Lerch, T.; Zeng, G.; Schmaranzer, F.; Gerber, N.; Siebenrock, K.-A.; Tannast, M. (July 2020). RPS 1010a - Computer-assisted diagnosis of hip dysplasia and femoroacetabular impingement FAI using automatic reconstruction of MRI-based 3D models of the hip joint: a deep learning-based study. In: ECR 2020, Vienna, RPS 1010a, Artificial Intelligence (AI) and new techniques in MRI 11 (p. 355). Springer

2019

Zeng, Guodong; Zheng, Guoyan (2019). Holistic decomposition convolution for effective semantic segmentation of medical volume images. Medical image analysis, 57, pp. 149-164. Elsevier 10.1016/j.media.2019.07.003

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