Fred A. Hamprecht

According to our database1, Fred A. Hamprecht authored at least 114 papers between 1998 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Neuron Segmentation With High-Level Biological Priors.
IEEE Trans. Med. Imaging, 2018

On the Spectral Bias of Deep Neural Networks.
CoRR, 2018

Sampling-Free Variational Inference of Bayesian Neural Nets.
CoRR, 2018

Diverse M-Best Solutions by Dynamic Programming.
CoRR, 2018

Essentially No Barriers in Neural Network Energy Landscape.
CoRR, 2018

DiversePathsJ: diverse shortest paths for bioimage analysis.
Bioinformatics, 2018

Essentially No Barriers in Neural Network Energy Landscape.
Proceedings of the 35th International Conference on Machine Learning, 2018

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
End-to-end Learning of Deterministic Decision Trees.
CoRR, 2017

Learning Steerable Filters for Rotation Equivariant CNNs.
CoRR, 2017

Learned Watershed: End-to-End Learning of Seeded Segmentation.
CoRR, 2017

Sparse convolutional coding for neuronal assembly detection.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Cost efficient gradient boosting.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learned Watershed: End-to-End Learning of Seeded Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Diverse M-Best Solutions by Dynamic Programming.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Variational Bayesian Multiple Instance Learning with Gaussian Processes.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Learning Diverse Models: The Coulomb Structured Support Vector Machine.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets.
Proceedings of the Computer Vision - ECCV 2016, 2016

Gaussian Process Density Counting from Weak Supervision.
Proceedings of the Computer Vision - ECCV 2016, 2016

An Efficient Fusion Move Algorithm for the Minimum Cost Lifted Multicut Problem.
Proceedings of the Computer Vision - ECCV 2016, 2016

Structured Regression Gradient Boosting.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Variational Weakly Supervised Gaussian Processes.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
International Journal of Computer Vision, 2015

Computer-aided diagnosis from weak supervision: A benchmarking study.
Comp. Med. Imag. and Graph., 2015

Graphical model for joint segmentation and tracking of multiple dividing cells.
Bioinformatics, 2015

The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Who Is Talking to Whom: Synaptic Partner Detection in Anisotropic Volumes of Insect Brain.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Cell Event Detection in Phase-Contrast Microscopy Sequences from Few Annotations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Learning to Segment: Training Hierarchical Segmentation under a Topological Loss.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Improving 3D EM data segmentation by joint optimization over boundary evidence and biological priors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Fusion moves for correlation clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Active Structured Learning for Cell Tracking: Algorithm, Framework, and Usability.
IEEE Trans. Med. Imaging, 2014

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
CoRR, 2014

Instance Label Prediction by Dirichlet Process Multiple Instance Learning.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Parallel Multicut Segmentation via Dual Decomposition.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014

Sparse Space-Time Deconvolution for Calcium Image Analysis.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Cell Detection and Segmentation Using Correlation Clustering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Yeast cell detection and segmentation in bright field microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Automated cell nucleus detection for large-volume electron microscopy of neural tissue.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Digital pathology: Multiple instance learning can detect Barrett's cancer.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Multiple Instance Learning with Response-Optimized Random Forests.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Asymmetric Cuts: Joint Image Labeling and Partitioning.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Semi-Global Matching: A Principled Derivation in Terms of Message Passing.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Cut, Glue, & Cut: A Fast, Approximate Solver for Multicut Partitioning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Image-based supervision of a periodically working machine.
Pattern Anal. Appl., 2013

Learning Multi-level Sparse Representations.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning to Segment Neurons with Non-local Quality Measures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Keeping count: Leveraging temporal context to count heavily overlapping objects.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Automated identification of neuronal activity from calcium imaging by sparse dictionary learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Conservation Tracking.
Proceedings of the IEEE International Conference on Computer Vision, 2013

K-Smallest Spanning Tree Segmentations.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
3D segmentation of SBFSEM images of neuropil by a graphical model over supervoxel boundaries.
Medical Image Analysis, 2012

Active Learning with Distributional Estimates
CoRR, 2012

Active Learning with Distributional Estimates.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Quality Classification of Microscopic Imagery with Weakly Supervised Learning.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Learning-based mitotic cell detection in histopathological images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning to count with regression forest and structured labels.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Structured Learning from Partial Annotations.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness.
Proceedings of the Computer Vision - ECCV 2012, 2012

The Lazy Flipper: Efficient Depth-Limited Exhaustive Search in Discrete Graphical Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

Globally Optimal Closed-Surface Segmentation for Connectomics.
Proceedings of the Computer Vision - ECCV 2012, 2012

Seeded watershed cut uncertainty estimators for guided interactive segmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Learning to segment dense cell nuclei with shape prior.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Efficient automatic 3D-reconstruction of branching neurons from EM data.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements.
Computer Science - R&D, 2011

Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM Volumes
CoRR, 2011

SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists.
Bioinformatics, 2011

A Framework for Interactive Visualization and Classification of Dynamical Processes at the Water Surface.
Proceedings of the Vision, 2011

On Oblique Random Forests.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Structured Learning for Cell Tracking.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Ilastik: Interactive learning and segmentation toolkit.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Deltr: Digital embryo lineage tree reconstructor.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automated segmentation of synapses in 3D EM data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Probabilistic image segmentation with closedness constraints.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
How to Extract the Geometry and Topology from Very Large 3D Segmentations
CoRR, 2010

The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search
CoRR, 2010

Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x
CoRR, 2010

Deuteration distribution estimation with improved sequence coverage for HX/MS experiments.
Bioinformatics, 2010

Computational protein profile similarity screening for quantitative mass spectrometry experiments.
Bioinformatics, 2010

Geometric Analysis of 3D Electron Microscopy Data.
Proceedings of the Applications of Discrete Geometry and Mathematical Morphology, 2010

Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2010

An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM.
Proceedings of the Pattern Recognition, 2010

An Object-oriented Library for Systematic Training and Comparison of Classifiers for Computer-assisted Tumor Diagnosis from MRSI Measurements.
Proceedings of the Bildverarbeitung für die Medizin 2010 - Algorithmen - Systeme, 2010

2009
Estimating Kinetic Parameter Maps From Dynamic Contrast-Enhanced MRI Using Spatial Prior Knowledge.
IEEE Trans. Med. Imaging, 2009

Principal Component Imagery for the Quality Monitoring of Dynamic Laser Welding Processes.
IEEE Trans. Industrial Electronics, 2009

Near optimum sampling design and an efficient algorithm for single tone frequency estimation.
Digital Signal Processing, 2009

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.
BMC Bioinformatics, 2009

Multivariate Watershed Segmentation of Compositional Data.
Proceedings of the Discrete Geometry for Computer Imagery, 2009

Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times.
Proceedings of the Pattern Recognition, 2009

2008
Weakly Supervised Learning of a Classifier for Unusual Event Detection.
IEEE Trans. Image Processing, 2008

Sputter Tracking for the Automatic Monitoring of Industrial Laser-Welding Processes.
IEEE Trans. Industrial Electronics, 2008

A theoretical and experimental investigation of the systematic errors and statistical uncertainties of Time-Of-Flight-cameras.
IJISTA, 2008

NITPICK: peak identification for mass spectrometry data.
BMC Bioinformatics, 2008

Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification.
Proceedings of the Pattern Recognition, 2008

On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields.
Proceedings of the Pattern Recognition, 2007

Selection of Local Optical Flow Models by Means of Residual Analysis.
Proceedings of the Pattern Recognition, 2007

2006
From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background.
Proceedings of the Advances in Data Analysis, 2006

Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods.
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

2005
Optimal lattices for sampling.
IEEE Trans. Information Theory, 2005

2004
Classification of In Vivo Magnetic Resonance Spectra.
Proceedings of the Classification, 2004

Two-stage Classification with Automatic Feature Selection for an Industrial Application.
Proceedings of the Classification, 2004

2002
Chemical Library Subset Selection Algorithms: A Unified Derivation Using Spatial Statistics.
Journal of Chemical Information and Computer Sciences, 2002

A New Approach for Defect Detection in X-ray CT Images.
Proceedings of the Pattern Recognition, 2002

1998
Theoretical investigations of NMR chemical shifts and reactivities of oxovanadium(v) compounds.
Journal of Computational Chemistry, 1998


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