Prof. Dr. Fred Hamprecht

Heidelberg Collaboratory for Image Processing (HCI)
Interdisciplinary Center for Scientific Computing (IWR) and Department of Physics and Astronomy
Heidelberg University
69120 Heidelberg, Germany

Phone: +49 6221-54 8800
Fax:      +49 6221-54 5276
Email:  fred.hamprecht@iwr.uni-heidelberg.de

FIELDS OF INTEREST

Machine learning (active, weakly supervised, structured) for automated image analysis
Bioimage analysis

CURRENTLY FUNDED PROJECTS

Baden-Württemberg Stiftung: An integrated high throughput and super-resolution platform for the fluorescence microscopic analysis of miRNA targets in live cells
BMBF: Ultrafast cellular high throughput screening with subcellular resolution
DFG: Exploring the potential of MALDI imaging mass spectrometry for personalized biomarker analysis in triple-negative breast cancer patients
DFG: Research Training Group 1653 on Spatio/Temporal Probabilistic Graphical Models and Applications in Image Analysis
DFG / Excellence Initiative: Postdoctoral position from the Excellence Cluster Cellular Networks; PhD positions from the Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences
Howard Hughes Medical Institute, Janelia Farm Research Campus: software development for ilastik (interactive learning and segmentation toolkit)

AWARDS & HONORS

2012 Machine Learning in Medical Imaging MLMI 2012 best paper award (jointly with X. Lou, L. Fiaschi, U. Köthe)
2008 DAGM 2008 award (jointly with B. Andres, U. Köthe, M. Helmstädter, W. Denk)
2007 Sonderpreis IT & LifeScience: bwcon 2007 (jointly with B. H. Menze, B. M. Kelm, C. Zechmann)

2012 – present Head of visitor research project, HHMI Janelia Farm Research Campus
2010 – 2011 Fellow at the Marsilius Kolleg, Heidelberg University
2008 Promotion to Full Professor
2007 – 2012 Scientific consulting for Heidelberger Druckmaschinen AG
2006 – 2011 Affiliated Professor in the Pathology Department, Children´s Hospital Boston
2001 – present Scientific consulting for Robert Bosch GmbH
2001 – present Professor for Multidimensional Image Processing, Heidelberg University
2001 Postdoctoral work at Seminar for Statistics, ETH Zurich, Switzerland
1998 – 2001 Graduate studies, ETH Zurich, Switzerland
1993 – 1998 Studies of Chemistry at ETH Zurich, EPF Lausanne, Imperial College, University of Cambridge

2009 Coordinator, Preproposal for SFB 907 “A Closer Look at Life” (not funded)
2008 – present Co-founder and Director, Heidelberg Collaboratory for Image Processing (HCI)
2007 – present Principal Investigator of the Excellence Initiative Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences
2007 – 2012 Principal Investigator, “Zukunftskonzept” of Heidelberg University within the German Excellence Initiative
2006 – 2008 Coordinator, Technical Platform of “Viroquant” Research Initiative for Systems Biology of Virus-Cell Interactions

Kappes JH, Andres B, Hamprecht FA, Schnörr C, Nowozin S, Batra D, Kim S, Kausler BX, Kröger T, Lellmann J, Komodakis N, Savchynskyy B, Rother C. A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. IJCV 2015 [10.1007/s11263-015-0809-x]

Beier T, Hamprecht FA, Kappes JH. Fusion Moves for Correlation Clustering. CVPR 2015

Schiegg M, Hanslovsky P, Haubold C, Köthe U, Hufnagel L, Hamprecht FA. Graphical Model for Joint Segmentation and Tracking of Multiple Dividing Cell. Bioinformatics 2015 [10.1093/bioinformatics/btu764]

Diego F, Hamprecht FA. Sparse Space-Time Deconvolution for Calcium Image Analysis. NIPS 2014

Fiaschi L, Diego F, Gregor K, Schiegg M, Köthe U, Zlatic M, Hamprecht FA. Tracking indistinguishable translucent objects over time using weakly supervised structured learning. CVPR 2014, oral [10.1109/CVPR.2014.356]

Kausler BX, Schiegg M, Andres B, Lindner M, Köthe U, Leitte H, Wittbrodt J, Hufnagel L and Hamprecht FA, A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. ECCV 2012. Proceedings, Part 3, 2012, 144-157

Andres B, Kröger T, Briggmann KL, Denk W, Norogod N, Knott G, Köthe U and Hamprecht FA, Globally Optimal Closed-Surface Segmentation for Connectomics. ECCV 2012. Proceedings, Part 3, 2012; 778-791

Lou X and Hamprecht FA, Structured Learning for Cell Tracking. in: NIPS 2011. Proceedings, 2011; 1296-1304

Künsch HR, Agrell E and Hamprecht FA, Optimal lattices for sampling. IEEE Transactions on Information Theory, 2005; 51, 634-647

Hamprecht FA, Cohen AJ, Tozer DJ and Handy NC, Development and assessment of new exchange-correlation functionals. Journal of Chemical Physics, 1998; 109, 6264-6271

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