University Clinics UPD

Group Klöppel

CV

since March 2023 Research Associate, Winterthur, Zurich University of Applied Sciences, Center for Artificial Intelligence
2022 - 2023 Senior Researcher, Lausanne University Hospital, Department of Clinical Neurosciences
2019 - 2022 Visiting Researcher (SNSF postdoc mobility), University of Pennsylvania, Department of Radiology
2016 - 2018 Researcher, UPD Bern, Department of Old Age Psychiatry and Psychotherapy
2015 Carreer break and parental leave
2012 - 2014 Researcher, University Clinic Freiburg, Germany
since August 2012 PhD Student, Vision Lab, University of Freiburg, Germany
2010 - 2012 MSc. in Life Science, EPFL Lausanne, Switzerland
Thesis: Extracting Whole-brain Structural Connectivity Graphs from Diffusion MRI
Supervisors: Jonas Richiardi, Prof. Dimitri van de Ville
2007 - 2010 BSc. in Life Science, EPFL Lausanne, Switzerland
Thesis: Influence of brain tissue segmentation on disease classifier accuracy
Supervisor: Dr. Nouchine Hadjikhani
2004 - 2007 System Engineer, Kowap AG, Hunzelschwil
2001 - 2004 BSc. in Systems Engineerinig, Fachhochschule NTB Buchs SG

Publications and Profiles

Profiles

List of selected publications

[1]    S. Klöppel, M. Kotschi, J. Peter, K. Egger, L. Hausner, L. Frölich, A. Förster, B. Heimbach, C. Normann,, W. Vach, A. Abdulkadir, 2018. Separating symptomatic Alzheimer's Disease from depression based on structural MRI. Journal of Alzheimer's disease : Journal of Alzheimer’s Disease, (in press). http://doi.org/10.3233/JAD-170964

[2]    Ö. Çicek, A. Abdulkadir, S. Lienkamp, T. Brox, O. Ronneberger (2016). 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer, LNCS

[3]    S. Klöppel, J. Peter, A. Ludl, A. Pilatus, S. Maier, I. Mader, B. Heimbach, L. Frings, K. Egger, J. Dukart, M. Schroeter, R. Perneczky, P. Haussermann, W. Vach, H. Urbach, S. Teipel, M. Hüll, A. Abdulkadir (2015). Applying Automated MR-Based Diagnostic Methods to the Memory Clinic - A Prospective Study. Journal of Alzheimer’s Disease, 47(4): 939-954.

[4]    A. Abdulkadir, O. Ronneberger, S.J. Tabrizi, and S. Kloppel (2014). Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI. Workshop on Pattern Recognition in Neuroimaging (PRNI), IEEE. http://doi.org/10.1109/PRNI.2014.6858505

[5]    D. Kostro, A. Abdulkadir, A. Durr, R. Roos, B.R. Leavitt, H. Johnson, D. Cash, S.J. Tabrizi, R.I. Scahill, O. Ronneberger, S. Klöppel, Track-HD Investigators (2014). Correction of inter- scanner and within-subject variance in structural MRI based automated diagnosing. NeuroImage, 98, 405–415. http://doi.org/10.1016/j.neuroimage.2014.04.057

[6]    S. Klöppel, A. Abdulkadir, S. Hadjidemetriou, S. Issleib, L. Frings, T.N. Thanh, I. Mader, S.J. Teipel, M. Hüll, O. Ronneberger (2011). A comparison of different automated methods for the detection of white matter lesions in MRI data. Neuroimage, 57(2): 416-422.

[7]    A. Abdulkadir, B. Mortamet, P. Vemuri, C.R. Jack, G. Krueger, S. Klöppel for the Alzheimer's Disease Neuroimaging Initiative (2011). Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier. Neuroimage, , 58(3): 785-792.