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Ruckli, Adrian Cyrill; Schmaranzer, F.; Lerch, T.; Boschung, A.; Steppacher, S.; Burger, Jürgen; Tannast, M.; Siebenrock, K.; Gerber, Nicolas; Gerber, Kate (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
Schmaranzer, F.; Lerch, T. D.; Steppacher, S. D.; Siebenrock, K. A.; Schmaranzer, E.; Tannast, M. (2021). Femoral cartilage damage occurs at the zone of femoral head necrosis and can be accurately detected on traction MR arthrography of the hip in patients undergoing joint preserving hip surgery. Journal of Hip Preservation Surgery, 8(1), pp. 28-39. Oxford University Press 10.1093/jhps/hnab038
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 (European Congress of Radiology) 11 (p. 355). Springer
Lerch, T. D.; Vuilleumier, S.; Schmaranzer, F.; Ziebarth, K.; Steppacher, S. D.; Tannast, M.; Siebenrock, K. A. (2019). Patients with severe slipped capital femoral epiphysis treated by the modified Dunn procedure have low rates of avascular necrosis, good outcomes, and little osteoarthritis at long-term follow-up. The Bone & Joint Journal, 101-B(4), pp. 403-414. British Editorial Society of Bone and Joint Surgery 10.1302/0301-620X.101B4.BJJ-2018-1303.R1
