Publications

Jump to: 2021 | 2020 | 2019
Number of items at this level: 15.

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necrosis of the femoral head on 3D hip MRI in young patients eligible for joint preserving hip surgery: A pilot study (Unpublished).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 Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI (Unpublished).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.

Zeng, Guodong; Degonda, Celia; Boschung, Adam; Schmaranzer, Florian; Gerber, Nicolas; Siebenrock, Klaus-A.; Steppacher, Simon D.; Tannast, Moritz; Lerch, Till (2021). Three-Dimensional Magnetic Resonance Imaging Bone Models of the Hip Joint Using Deep Learning: Dynamic Simulation of Hip Impingement for Diagnosis of Intra- and Extra-articular Hip Impingement. Orthopaedic journal of sports medicine, 9(12), pp. 1-11. Sage Publications 10.1177/23259671211046916

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

This list was generated on Mon Aug 8 03:56:36 2022 CEST.


Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI
H Arabi, G Zeng, G Zheng, H Zaidi
European journal of nuclear medicine and molecular imaging 46 (13), 2746-2759

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ...
Medical image analysis 58, 101537

Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis Using Unpaired Data
G Zeng, G Zheng
International Conference on Medical Image Computing and Computer-Assisted Intervention

3D Tiled Convolution for Effective Segmentation of Volumetric Medical Images
G Zeng, G Zheng
International Conference on Medical Image Computing and Computer-Assisted Intervention

Automatic MRI-based 3D Models of Hip Cartilage Using a 3D U-net-like Fully Convolutional Network for Improved Morphologic and Biochemical Analysis
F Schmaranzer, R Helfenstein, G Zeng, TD Lerch, K Siebenrock, M Tannast, G Zheng
Seminars in Musculoskeletal Radiology 23 (S 02), A021

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J Kuijf, J Matthijs Biesbroek, Jeroen De Bresser, Rutger Heinen, Simon Andermatt, Mariana Bento, Matt Berseth, Mikhail Belyaev, M Jorge Cardoso, Adria Casamitjana, D Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Llado, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sebastien Ourselin, Bo-Yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Elodie Puybareau, Leticia Rittner, Carole H Sudre, Sergi Valverde, Veronica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje van der Flier, Frederik Barkhof, Max A Viergever, Geert Jan Biessels
IEEE transactions on medical imaging 38 (11), 2556-2568

Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jia-Wei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien PW Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen
IEEE transactions on medical imaging 38 (9), 2219-2230

Novel deep learning-based CT synthesis algorithm for MRI-guided PET attenuation correction in brain PET/MR imaging
H Arabi, G Zeng, G Zheng, H Zaidi
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC)

Caversaccio, Marco; Wimmer, Wilhelm; Anso, Juan; Mantokoudis, Georgios; Gerber, Nicolas; Rathgeb, Christoph Martin; Schneider, Daniel; Hermann, Jan; Wagner, Franca; Scheidegger, Olivier; Huth, Markus; Anschütz, Lukas Peter; Kompis, Martin; Williamson, Tom; Bell, Brett; Gerber, Kate; Weber, Stefan (2019). Robotic middle ear access for cochlear implantation: first in man. PLoS ONE, 14(8), e0220543. Public Library of Science 10.1101/19000711

Rathgeb, Christoph Martin; Wagner, Franca; Wimmer, Wilhelm; Gerber, Nicolas; Williamson, Tom; Anschütz, Lukas Peter; Weder, Stefan; Stadelmann, Marc; Braga, G; Anso, Juan; Caversaccio, Marco; Weber, Stefan; Gerber, Kate (2019). The accuracy of image-based safety analysis for robotic cochlear implantation. International Journal of Computer Assisted Radiology and Surgery, 14(1), pp. 83-92. Springer-Verlag 10.1007/s11548-018-1834-3

2018

Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip
Guodong Zeng, Qian Wang, Till Lerch, Florian Schmaranzer, Moritz Tannast, Klaus Siebenrock, Guoyan Zheng
International Workshop on Machine Learning in Medical Imaging, 188-196

Lu, Ping; Barazzetti, Livia; Chandran, Vimal; Gavaghan, Kate; Weber, Stefan; Gerber, Nicolas; Reyes, Mauricio (2018). Highly accurate Facial Nerve Segmentation Refinement from CBCT/CT Imaging using a Super Resolution Classification Approach. IEEE transactions on biomedical engineering, 65(1), pp. 178-188. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2017.2697916

Anso, Juan; Wyss, Thomas; Jegge, Yves; Kalvoy, Havard; Bell, Brett; Dür, Cilgia; Calvo, Enric M.; Williamson, Tom; Gerber, Nicolas; Ferrario, Damien; Forterre, Franck; Büchler, Philippe; Stahel, Andreas; Caversaccio, Marco; Weber, Stefan; Gerber, Kate (2018). Electrical Impedance to Assess Facial Nerve Proximity during Robotic Cochlear Implantation. IEEE transactions on biomedical engineering, 66(1), pp. 237-245. Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2018.2830303