Olaf Ronneberger
Affiliations:- Google DeepMind, London, UK
- University of Freiburg, Germany
According to our database1,
Olaf Ronneberger
authored at least 64 papers
between 2002 and 2021.
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Bibliography
2021
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs.
CoRR, 2021
2020
2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR, 2019
2018
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Medical Image Anal., 2017
Int. J. Comput. Vis., 2017
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017
2016
Medical Image Anal., 2016
Automated analysis of retinal imaging using machine learning techniques for computer vision.
F1000Research, 2016
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans.
F1000Research, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge.
NeuroImage, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the British Machine Vision Conference 2015, 2015
2014
Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing.
NeuroImage, 2014
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates.
Int. J. Comput. Vis., 2014
Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the Pattern Recognition - 36th German Conference, 2014
Proceedings of the British Machine Vision Conference, 2014
2013
BMC Bioinform., 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Joint 3D cell segmentation and classification in the Arabidopsis root using energy minimization and shape priors.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Pattern Recognition - 35th German Conference, 2013
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF).
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
IEEE Trans. Image Process., 2012
Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Pattern Recognition, 2012
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
A comparison of different automated methods for the detection of white matter lesions in MRI data.
NeuroImage, 2011
Spatially-variant Lucy-Richardson deconvolution for multiview fusion of microscopical 3D images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the British Machine Vision Conference, 2011
2010
Harmonic Filters for 3D Multichannel Data: Rotation Invariant Detection of Mitoses in Colorectal Cancer.
IEEE Trans. Medical Imaging, 2010
3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation.
Proceedings of the Pattern Recognition, 2010
Proceedings of the Pattern Recognition, 2010
2009
IEEE Trans. Pattern Anal. Mach. Intell., 2009
A 3D Active Surface Model for the Accurate Segmentation of <i>Drosophila</i> Schneider Cell Nuclei and Nucleoli.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Fast computation of 3D spherical Fourier harmonic descriptors - a complete orthonormal basis for a rotational invariant representation of three-dimensional objects.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009
Proceedings of the Pattern Recognition, 2009
Increasing the Dimension of Creativity in Rotation Invariant Feature Design Using 3D Tensorial Harmonics.
Proceedings of the Pattern Recognition, 2009
2008
Fast and robust segmentation of spherical particles in volumetric data sets from brightfield microscopy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
3D-Invarianten zur automatischen Pollenerkennung [3D Invariants for Automated Pollen Recognition].
Proceedings of the Ausgezeichnete Informatikdissertationen 2007, 2007
3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition.
Proceedings of the Pattern Recognition, 2007
Proceedings of the Pattern Recognition, 2007
Proceedings of the Pattern Recognition, 2007
2006
Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification.
Proceedings of the Pattern Recognition, 2006
Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006
2005
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005
Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005
2002
General-Purpose Object Recognition in 3D Volume Data Sets Using Gray-Scale Invariants --- Classification of Airborne Pollen-Grains Recorded with a Confocal Laser Scanning Microscope.
Proceedings of the 16th International Conference on Pattern Recognition, 2002