
Dr. Ahmed Abdulkadir
Affiliated researcher
- Phone
- +1 267-844-91-04
- ahmed.abdulkadir@pennmedicine.upenn.edu
- E-Mail2
- ahmed.abdulkadir@upd.unibe.ch
- Postal Address
- Center for Biomedical Image Computing & Analytics (CBICA)
Department of Radiology
University of Pennsylvania
3710 Hamilton Walk - David Goddard Laboratories - 604W
Philadelphia PA, 19104, USA
United States of America - private website
- twitter.com/_AbdulkadirA_
CV
since 02/2020 | Visiting postdoctoral research (SNF Postdoc Mobility Fellowship) at the Center for Biomedical Image Computing & Analytics (CBICA), University of Pennsylvania, Philadelphia, USA |
01/2019 - 01/2020 | Postdoc, UPD Bern, Department of Old Age Psychiatry and Psychotherapy |
2016 - 2018 | Researcher/PhD student, UPD Bern, Department of Old Age Psychiatry and Psychotherapy |
2015 | Carreer break and parental leave |
2012 - 2014 | Researcher/Student Assistant, 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.