@proceedings {6317,
	title = {Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation},
	year = {2019},
	pages = {563-573},
	author = {Manuel Hau{\ss}mann and Fred A. Hamprecht and Kandemir, M.}
}
@article {6314,
	title = {On the spectral bias of deep neural networks},
	journal = {arXiv preprint arXiv:1806.08734},
	year = {2018},
	author = {Rahaman, N and Arpit, D and Baratin, A and Draxler, F and Lin, M and Fred A. Hamprecht and Bengio, Y and Courville, A}
}
@proceedings {6205,
	title = {Sparse convolutional coding for neuronal assembly detection},
	year = {2017},
	author = {Peter, S. and Kirschbaum, E. and M. Both and Campbell, L. A. and Harvey, B. K. and Heins, C. and Durstewitz, D. and Ferran Diego and Fred A. Hamprecht}
}
@inbook {6055,
	title = {Segmenting and Tracking Multiple Dividing Targets Using ilastik},
	booktitle = {Focus on Bio-Image Informatics},
	series = {Advances in Anatomy, Embryology and Cell Biology},
	volume = {219},
	year = {2016},
	pages = {199-229},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-319-28549-8_8},
	author = {Haubold, C. and Schiegg, M. and Kreshuk, A. and Stuart Berg and Ullrich K{\"o}the and Fred A. Hamprecht}
}
@proceedings {6063,
	title = {Structured Regression Gradient Boosting},
	year = {2016},
	pages = {1459-1467},
	doi = { 10.1109/CVPR.2016.162},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@article {maco_14_semiautomated,
	title = {Semiautomated Correlative 3D Electron Microscopy of In Vivo Imaged Axons and Dendrites},
	journal = {Nature Protocols},
	volume = {9},
	year = {2014},
	pages = {1354-1366},
	doi = {10.1038/nprot.2014.101},
	author = {Maco, B. and Cantoni, M. and Holtmaat, A. and Anna Kreshuk and Fred A. Hamprecht and G. W. Knott}
}
@conference {drory_14_semi-global,
	title = {Semi-Global Matching: A Principled Derivation in Terms of Message Passing},
	booktitle = {GCPR. Proceedings},
	number = {8753},
	year = {2014},
	note = {1},
	pages = {43-53},
	doi = {10.1007/978-3-319-11752-2_4},
	author = {Drory, A. and Haubold, C. and Avidan, S. and Fred A. Hamprecht}
}
@article {koethe_14_simplestorm,
	title = {SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy},
	journal = {Histochemistry and Cell Biology},
	volume = {141},
	year = {2014},
	note = {1},
	pages = {613-627},
	doi = {10.1007/s00418-014-1211-4},
	author = {Ullrich K{\"o}the and Herrmannsd{\"o}rfer, F. and Kats, I. and Fred A. Hamprecht}
}
@conference {diego_14_sparse,
	title = {Sparse Space-Time Deconvolution for Calcium Image Analysis},
	booktitle = {NIPS. Proceedings},
	year = {2014},
	note = {1},
	pages = {64-72},
	url = {http://papers.nips.cc/paper/5342-sparse-space-time-deconvolution-for-calcium-image-analysis},
	author = {Ferran Diego and Fred A. Hamprecht}
}
@incollection {lou_14_structured,
	title = {Structured Learning from Cheap Data},
	year = {2014},
	note = {1},
	publisher = {The MIT Press},
	author = {Lou, X. and Kloft, M. and R{\"a}tsch, G. and Fred A. Hamprecht},
	editor = {Nowozin, S. et al}
}
@conference {straehle_12_seeded,
	title = {Seeded watershed cut uncertainty estimators for guided interactive segmentation},
	booktitle = {CVPR 2012. Proceedings},
	year = {2012},
	note = {1},
	pages = {765 - 772},
	doi = {10.1109/CVPR.2012.6247747},
	author = {Christoph N. Straehle and Ullrich K{\"o}the and Briggman, K. and Denk, W. and Fred A. Hamprecht}
}
@article {lou_12_structured,
	title = {Structured Learning from Partial Annotations},
	journal = {ICML 2012. Proceedings},
	year = {2012},
	note = {1},
	url = {http://icml.cc/discuss/2012/753.html},
	author = {Lou, X. and Fred A. Hamprecht}
}
@article {hanselmann_11_sima,
	title = {SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists},
	journal = {Bioinformatics},
	volume = {27 (7)},
	year = {2011},
	note = {1},
	pages = {987-993},
	doi = {10.1093/bioinformatics/btr051},
	author = {Hanselmann, M. and Bj{\"o}rn Voss and B. Y. Renard and Lindner, M. and Ullrich K{\"o}the and Kirchner, M. and Fred A. Hamprecht}
}
@conference {lou_11_structured,
	title = {Structured Learning for Cell Tracking},
	booktitle = {NIPS 2011. Proceedings},
	year = {2011},
	note = {1},
	pages = {1296-1304},
	author = {Lou, X. and Fred A. Hamprecht},
	editor = {Shawe-Taylor, J. and Zemel, R.S. and Pereira, F.C.N. and Weinberger, K.Q. and Bartlett, P.}
}
@article {staudacher_09_selbstadaptivitaet,
	title = {Self Adjustment of Scanning Electron Microscopes / Selbstadaptivit{\"a}t von Rasterelektronenmikroskopen},
	journal = {Patent, Patent Number  WO2009062781A1},
	year = {2009},
	author = {Staudacher, M. and Fred A. Hamprecht and G{\"o}rlitz, L.}
}
@conference {andres_08_segmentation,
	title = {Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification},
	booktitle = {Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings},
	volume = {5096},
	year = {2008},
	note = {1},
	pages = {142-152},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-69321-5_15},
	author = {Bj{\"o}rn Andres and Ullrich K{\"o}the and Helmstaedter, M. and Denk, W. and Fred A. Hamprecht},
	editor = {Gerhard Rigoll}
}
@article {jaeger_08_sputter,
	title = {Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes},
	journal = {IEEE Transactions on Industrial Electronics},
	volume = {55},
	number = {5},
	year = {2008},
	pages = {2177-2184},
	doi = {10.1109/TIE.2008.918637},
	author = {J{\"a}ger, M. and Humbert, S. and Fred A. Hamprecht}
}
@conference {andres_07_selection,
	title = {Selection of Local Optical Flow Models by Means of Residual Analysis},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {72-81},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Fred A. Hamprecht and Christoph S. Garbe},
	editor = {Christoph Schn{\"o}rr and Bernd J{\"a}hne and Fred A. Hamprecht}
}
@conference {andres2007,
	title = {Selection of local optical flow models by means of residual analysis},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	year = {2007},
	pages = {72--81},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric models of local optical flow. These models give rise to parameter estimation problems with highly correlated errors in variables (EIV). Regression is hence performed by equilibrated total least squares. The authors suggest to adaptively select motion models by testing local empirical regression residuals to be in accordance with the probability distribution that is theoretically predicted by the EIV model. Motion estimation with residual-based model selection is examined on artificial sequences designed to test specifically for the properties of the model selection process. These simulations indicate a good performance in the exclusion of inappropriate models and yield promising results in model complexity control.},
	doi = {10.1007/978-3-540-74936-3_8},
	author = {Bj{\"o}rn Andres and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht}
}
@conference {goerlitz_07_semi,
	title = {Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields},
	booktitle = {Pattern Recognition},
	volume = {4713},
	year = {2007},
	note = {1},
	pages = {224-233},
	publisher = {Springer},
	organization = {Springer},
	doi = {10.1007/978-3-540-74936-3_23},
	author = {G{\"o}rlitz, L. and Bjoern H. Menze and M.-A. Weber and B. Michael Kelm},
	editor = {Fred A. Hamprecht and Fred A. Hamprecht and Christoph Schn{\"o}rr and Bernd J{\"a}hne}
}
@article {hamprecht_01_strategy,
	title = {A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization},
	journal = {Journal of Chemical Physics},
	volume = {114},
	year = {2001},
	pages = {2079-2089},
	author = {Fred A. Hamprecht and Peter, C. and Daura, X. and Thiel, W. and van Gunsteren, W. F.}
}
