Resume

Robin Sandkühler obtained his B.Sc. in Computer Science from the Westphalian University of Applied Sciences (Germany) and his M.Sc in Computer Science from the Karlsruhe Institute of Technology (Germany). In 2020 he received his Ph.D. from the University of Basel (Switzerland).

Currently, Robin is a postdoctoral researcher at the Center for medical Image Analysis and Navigation at the Department of Biomedical Engineering, University of Basel. He leads the research group for medical image segmentation. His research focus is the development of weakly supervised machine learning methods for medical image analysis. Furthermore, he is
interested in computer-assisted diagnostics and the estimation of disease progression by combining different information resources.

link to research project

Robin Sandkühler

 

Dr. Robin Sandkühler
CIAN

Gewerbestr. 14, Room 14.04.010
CH-4123 Allschwil, Switzerland
t: +41 61 207 54 13
e: robin.sandkuehler@clutterunibas.ch

R. Sandkühler, S. Andermatt, G. Bauman, S. Nyilas, C. Jud, and P. C. Cattin, “Recurrent registration neural networks for deformable image registration”, in Advances in Neural Information Processing Systems, 2019, pp. 8758-8768. read

R. Sandkühler, C. Jud, G. Bauman, C. Willers, O. Pusterla, S. Nyilas, A. Peters, L. Ebner, E. Stranziger, O. Bieri, et al., “Weakly supervised learning strategy for lung defect segmentation”, in International Workshop on Machine Learning in Medical Imaging, Springer, Cham, 2019, pp. 541–548. read

R. Sandkühler, G. Bauman, S. Nyilas, O. Pusterla, C. Willers, O. Bieri, P. Latzin, C. Jud, and P. C. Cattin, “Gated recurrent neural networks for accelerated ventilation MRI”, in International Workshop on Machine Learning in Medical Imaging, Springer, Cham, 2019, pp. 549–556. read

C. C. Willers, O. Pusterla, G. Bauman, S. Andermatt, S. Nyilas, F. Santini, S. Pezold, R. Sandkühler, K. Ramsey, P. C. Cattin, O. Bieri, and P. Latzin, "Inter-reader variation in lung segmentation of functional lung MRI quantification", in European Respiratory Journal, 2019. read

C. Jud, D. Nguyen, A. Giger, R. Sandkühler, M. Krieger, T. Lomax, R. Salomir, O. Bieri, and P. C. Cattin, "Accelerated motion-aware MR imaging via motion prediction from K-space center", arXiv preprint arXiv:1908.09560, 2019. read

R. Sandkühler, C. Jud, S. Andermatt, and P. C. Cattin, "AirLab: Autograd image registration laboratory". arXiv preprint arXiv:1806.09907, 2018. read

C. Jud, D. Nguyen, R. Sandkühler, A. Giger, O. Bieri, and P. C. Cattin, “Motion aware MR imaging via spatial core correspondence”, in International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2018, pp. 198–205. read

A. Giger, R. Sandkühler, C. Jud, G. Bauman, O. Bieri, R. Salomir, and P. C. Cattin, “Respiratory motion modelling using cGANs”, in International Conference on Medical Image Computing and Computer-AssistedIntervention, Springer, 2018, pp. 81–88. read

R. Sandkühler, C. Jud, S. Pezold, and P. C. Cattin, “Adaptive graph diffusion regularisation for discontinuity preserving image registration”, in 8th International Workshop on Biomedical Image Registration, 2018, pp. 24–34. read

C. Jud, R. Sandkühler, and P. C. Cattin, “An inhomogeneous multi-resolution regularization concept for discontinuity preserving image registration”, in 8th International Workshop on Biomedical Image Registration, 2018, pp. 3–12. read

C. Jud, R. Sandkühler, N. Möri, and P. C. Cattin, “Directional averages for motion segmentation in discontinuity preserving image registration”, in International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2017, pp. 249–256. read

C. Jud, A. Giger, R. Sandkühler, and P. C. Cattin, “A localized statistical motion model as a reproducing kernel for non-rigid image registration”, in International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2017, pp. 261–269. read

R. Sandkühler, C. Jud, and P. C. Cattin, “On a spectral image metric for non-rigid group-wise registration of dynamic MR image series”, in International Workshop on Pulmonary Image Analysis, 2016.