Publications

2017
Storath, M, Brandt, C, Hofmann, M, Knopp, T, Salamon, J, Weber, A and Weinmann, A (2017). Edge preserving and noise reducing reconstruction for magnetic particle imaging. IEEE Transactions on Medical Imaging. 36 74 - 85 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.43 MB)
Storath, M, Rickert, D, Unser, M and Weinmann, A (2017). Fast segmentation from blurred data in 3D fluorescence microscopy. IEEE Transactions on Image Processing. 26 DOI Google Scholar BibTeX RTF EndNote XML
Hennies, J (2017). Improvement And Validation Of Neural Em Volume Image Segmentation By High-Level Information. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Haller, A (2017). Interactive Watershed Based Segmentation For Biological Images. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Storath, M, Weinmann, A and Unser, M (2017). Jump-penalized least absolute values estimation of scalar or circle-valued signals. Information and Inference. 6 225–245 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.4 MB)
Schott, L (2017). Learned Watershed Algorithm: End-To-End Learning Of Seeded Segmentation. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Wolf, S, Schott, L, Köthe, U and Hamprecht, F A (2017). Learned Watershed: End-to-End Learning of Seeded Segmentation. ICCV. 2030-2038 Google Scholar BibTeX RTF EndNote XML Technical Report (3.76 MB)
Weiler, M (2017). Learning Steerable Filters For Rotation Equivariant Convolutional Neural Networks. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Kandemir, M, Hamprecht, F A, Wojek, C and Schmidt, U (2017). Maschinelles Lernen. Patent, Patent Number WO2017032775A1 Google Scholar BibTeX RTF EndNote XML Technical Report (317.04 KB)
Balluff, B, Hanselmann, M and Heeren, R M A (2017). Mass spectrometry imaging for the investigation of intratumor heterogeneity. Advances in Cancer Research. Elsevier. 134 201-230 DOI Google Scholar BibTeX RTF EndNote XML
Beier, T, Pape, C, Rahaman, N, Prange, T, Berg, S, Bock, D, Cardona, A, Knott, G W, Plaza, S M, Scheffer, L K, Köthe, U, Kreshuk, A and Hamprecht, F A (2017). Multicut brings automated neurite segmentation closer to human performance. Nature Methods. 14 101-102. http://rdcu.be/oVDQ DOI Google Scholar BibTeX RTF EndNote XML
Krasowki, N, Beier, T, Knott, G W, Köthe, U, Hamprecht, F A and Kreshuk, A (2017). Neuron Segmentation with High-Level Biological Priors. IEEE Transactions on Medical Imaging. 37 DOI Google Scholar BibTeX RTF EndNote XML
Haubold, C (2017). Scalable Inference for Multi-Target Tracking on Proliferating Cells. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Neigel, P (2017). Self-Similarity Based Detection Of Temporal Motifs In Multivariate Signals. Heidelberg University Google Scholar BibTeX RTF EndNote XML
Pape, C, Beier, T, Li, P, Jain, V, Brock, D D and Kreshuk, A (2017). Solving Large Multicut Problems for Connectomics via Domain Decomposition. Bioimage Computing Workshop. ICCV. 1-10 DOI Google Scholar BibTeX RTF EndNote XML
Peter, S, Kirschbaum, E, Both, M, Campbell, L A, Harvey, B K, Heins, C, Durstewitz, D, Diego, F and Hamprecht, F A (2017). Sparse convolutional coding for neuronal assembly detection. NIPS, poster Google Scholar BibTeX RTF EndNote XML
Haußmann, M, Hamprecht, F A and Kandemir, M (2017). Variational Bayesian Multiple Instance Learning with Gaussian Processes. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 6570-6579 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.29 MB)

2016
Haubold, C, Ales, J, Wolf, S and Hamprecht, F A (2016). A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets. ECCV. Proceedings. Springer. LNCS 9911 566-582 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.18 MB)
Beier, T, Andres, B, Köthe, U and Hamprecht, F A (2016). An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem. ECCV. Proceedings. Springer. LNCS 9906 715-730 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (4.89 MB)
Krasowski, N (2016). Automated Segmentation for Connectomics Utilizing Higher-Order Biological Priors. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Pape, C (2016). Automatic Segmentation Of Neurites From Anisotropic Em-Imaging. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Prange, T (2016). Automatic Segmentation Of Neurons In Electron Microscopy Data With Membrane Defects. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Wolf, S (2016). Cell Tracking With Graphical Model Using Higher Order Features On Track Segments. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Baust, M, Weinmann, A, Wieczorek, M, Lasser, T, Storath, M and Navab, N (2016). Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach. IEEE Transactions on Medical Imaging. 35 1972–1989 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (8.65 MB)
Schmidt, P (2016). Deep Learning For Bioimage Analysis. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Balles, L (2016). Deep Learning For Diabetic Retinopathy Diagnostics. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Kleesiek, J, Urban, G, Hubert, A, Schwarz, D, Maier-Hein, K, Bendszus, M and Biller, A (2016). Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.. NeuroImage. 129 460-469 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.14 MB)
von Borstel, M, Kandemir, M, Schmidt, P, Rao, M, Rajamani, K and Hamprecht, F A (2016). Gaussian process density counting from weak supervision. ECCV. Proceedings. Springer. LNCS 9905 365-380 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (1.71 MB)
Meijering, E, Carpenter, A E, Peng, H, Hamprecht, F A and Olivo-Marin, J (2016). Imagining the future of bioimage analysis. Nature Biotechnology. 34 1250-1255 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (924.57 KB)
Biller, A, Badde, S, Nagel, A, Neumann, J O, Wick, W, Hertenstein, A, Bendszus, M, Sahm, F, Benkhedah, N and Kleesiek, J (2016). Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression. American Journal of Neuroradiology. 37 66-73 DOI Google Scholar BibTeX RTF EndNote XML
Stefanoiu, A, Weinmann, A, Storath, M, Navab, N and Baust, M (2016). Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm. IEEE Transactions on Image Processing. 25 3384 - 3394 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.55 MB)
Schiegg, M, Diego, F and Hamprecht, F A (2016). Learning Diverse Models: The Coulomb Structured Support Vector Machine. ECCV. Proceedings. Springer. LNCS 9907 585-599 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.54 MB)
von Borstel, M (2016). Learning To Count From Weak Supervision. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Haubold, C, Schiegg, M, Kreshuk, A, Berg, S, Köthe, U and Hamprecht, F A (2016). Segmenting and Tracking Multiple Dividing Targets Using ilastik. Focus on Bio-Image Informatics. Springer. 219 199-229 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (4.46 MB)
Rathore, D (2016). Semantic Segmentation Using Deep Learning. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Kiem, A (2016). Structured Learning On Calcium Imaging Data. University of Heidelberg Google Scholar BibTeX RTF EndNote XML
Diego, F and Hamprecht, F A (2016). Structured Regression Gradient Boosting. CVPR. Proceedings. 1459-1467 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (3.97 MB)
Kandemir, M, Haußmann, M, Diego, F, Rajamani, K, van der Laak, J and Hamprecht, F A (2016). Variational weakly-supervised Gaussian processes. BMVC. Proceedings Google Scholar BibTeX RTF EndNote XML Technical Report (3.28 MB)
Kleesiek, J, Petersen, J, Döring, M, Maier-Hein, K, Köthe, U, Wick, W, Hamprecht, F A, Bendszus, M and Biller, A (2016). Virtual Raters for Reproducible and Objective Assessments in Radiology. Nature Scientific Reports. 6 DOI Google Scholar BibTeX RTF EndNote XML Technical Report (2.81 MB)
Haußmann, (2016). Weakly Supervised Detection With Gaussian Processes. University of Heidelberg Google Scholar BibTeX RTF EndNote XML

Publications

2017

2016

Pages