W3-Professor
Interdisciplinary Center for Scientific Computing (IWR)
Heidelberg University
SCIENTIFIC VITA
| 1993-1998 | Undergraduate Studies in Chemistry ETH Zürich, EPF Lausanne, Imperial College London, Cambridge University |
| 2001 | Dr. rer. nat., ETH Zurich |
| 2001 | Postdoctoral Fellow Seminar for Statistics, ETH Zurich |
| 2001 – 2007 | Associate (C3) Professor for Multidimensional Image Processing, Heidelberg |
| 2007 – 2011 | Affiliate Professor Childrens’ Hospital, Boston |
| Since 2008 | Full Professor for Image Analysis and Learning, Heidelberg University |
| Since 2011 | Visiting Scientist HHMI Janelia Research Campus |
| 2014 – 2015 | Weston Visiting Professor Dept. of Applied Mathematics and Computer Science Weizmann Institute for Science and Technology, Rehovot |
AWARDS
| 1993 – 1998 | Scholar of the German National Scholarship Foundation |
| 2007 | Price for IT & LifeScience: bwcon 2007 (jointly with B. H. Menze, B. M. Kelm, C. Zechmann) |
| 2008 | DAGM 2008 Award (jointly with B. Andres, U. Köthe, M. Helmstädter, W. Denk) |
| 2012 | Machine Learning in Medical Imaging MLMI 2012 best paper award (jointly with X. Lou, L. Fiaschi, U. Köthe) |
| 2013 | DAGM 2013 Award (jointly with C. Strähle, U. Köthe) |
| 2014 | MICCAI Brain Tumor Segmentation Challenge (BraTS 2014): first prize (with J. Kleesiek, G. Urban et al.) |
| 2016 | ISBI 2012, SNEMI3D and CREMI connectomics segmentation challenges: Top of leaderboard |
| 2018 | GCPR 2018 Award (jointly with T. Hehn) |
SCIENTIFIC COORDINATION
| 2004 – 2010 | Steering Committee of “Deutsche Arbeitsgemeinschaft für Mustererkennung (DAGM) |
| 2006 – 2008 | Coordinator , Technical Platform of “Viroquant” Systems Biology Collaborative Research Initiative |
| 2007 – 2012 | PI, “Zukunftskonzept” of Heidelberg University within the German Excellence Initiative |
| Since 2007 | PI, Excellence Initiative Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences “HGS MathComp” |
| Since 2008 | Co-founder and Director (jointly with B. Jähne, B. Ommer, C. Schnörr), Heidelberg Collaboratory for Image Processing (HCI) |
| 2013 – 2015 | Head, CellNetworks “MathClinic” image processing core facility |
| 2015 | Area Chair: CVPR 2015 (most highly cited venue in computer Vision) |
PATENTS
Workflow zur automatisierten Erkennung von Anomalien mit wenig Labelaufwand. M. Kandemir, F. A. Hamprecht, U. Schmidt, C. Wojek, Patent application, number: DE 10 2015 114 015.2
Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen. M. Staudacher, F. A. Hamprecht, L. Görlitz
Patent, Patent Number: WO2009/062781 A1
Method for processing an intensity image of a microscope. M. Staudacher, F. A. Hamprecht, L. Görlitz
Patent, Patent Number: WO2008/034721-A1
RELEVANT PUBLICATIONS
Peter, S., Diego, F., Hamprecht, F. A., & Nadler, B. (2017). Cost efficient gradient boosting. In Advances in Neural Information Processing Systems (pp. 1551-1561).
Hamprecht, F. A., Achleitner, U., Krismer, A. C., Lindner, K. H., Wenzel, V., Strohmenger, H. U., … & Amann, A. (2001). Fibrillation power, an alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation. Resuscitation, 50(3), 287-296.
Menze, B. H., Lichy, M. P., Bachert, P., Kelm, B. M., Schlemmer, H. P., & Hamprecht, F. A. (2006). Optimal classification of long echo time in vivo magnetic resonance spectra in the detection of recurrent brain tumors. NMR in Biomedicine: An International Journal Devoted to the Development and Application of Magnetic Resonance In vivo, 19(5), 599-609.
Kandemir, M., & Hamprecht, F. A. (2015). Computer-aided diagnosis from weak supervision: a benchmarking study. Computerized medical imaging and graphics, 42, 44-50.
Hanselmann, M., Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M., & Hamprecht, F. A. (2008). Concise representation of mass spectrometry images by probabilistic latent semantic analysis. Analytical chemistry, 80(24), 9649-9658.