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ORCIDOlaf Ronneberger
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- affiliation: Google DeepMind, London, UK
- affiliation: University of Freiburg, Germany
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2020 – today
- 2021
[i12]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021)- [i11]Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler:
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR abs/2106.14108 (2021) - 2020
- [i10]Jim Winkens, Rudy Bunel, Abhijit Guha Roy, Robert Stanforth, Vivek Natarajan, Joseph R. Ledsam, Patricia MacWilliams, Pushmeet Kohli, Alan Karthikesalingam, Simon Kohl, A. Taylan Cemgil, S. M. Ali Eslami, Olaf Ronneberger:
Contrastive Training for Improved Out-of-Distribution Detection. CoRR abs/2007.05566 (2020)
2010 – 2019
- 2019
- [i9]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso
:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i8]Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger:
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. CoRR abs/1905.13077 (2019) - 2018
- [c42]Anton Böhm, Annekathrin Ucker, Tim Jager, Olaf Ronneberger, Thorsten Falk:
ISOODL: Instance segmentation of overlapping biological objects using deep learning. ISBI 2018: 1225-1229 - [c41]Simon Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. NeurIPS 2018: 6965-6975 - [i7]Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger:
A Probabilistic U-Net for Segmentation of Ambiguous Images. CoRR abs/1806.05034 (2018) - [i6]Stanislav Nikolov, Sam Blackwell, Ruheena Mendes, Jeffrey De Fauw, Clemens Meyer, Cían Hughes, Harry Askham, Bernardino Romera-Paredes, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Kevin Sullivan, DeepMind Radiographer Consortium, Hugh Montgomery, Geraint Rees, Ricky Sharma, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger:
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. CoRR abs/1809.04430 (2018) - 2017
- [j12]Robert Bensch, Nico Scherf, Jan Huisken, Thomas Brox, Olaf Ronneberger:
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. Int. J. Comput. Vis. 122(3): 502-523 (2017) - [j11]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017) - [c40]Olaf Ronneberger:
Invited Talk: U-Net Convolutional Networks for Biomedical Image Segmentation. Bildverarbeitung für die Medizin 2017: 3 - 2016
- [j10]Ching-Wei Wang, Cheng-Ta Huang, Jia-Hong Lee, Chung-Hsing Li, Sheng-Wei Chang, Ming-Jhih Siao, Tat-Ming Lai, Bulat Ibragimov, Tomaz Vrtovec, Olaf Ronneberger, Philipp Fischer, Timothy F. Cootes, Claudia Lindner:
A benchmark for comparison of dental radiography analysis algorithms. Medical Image Anal. 31: 63-76 (2016) - [c39]Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger:
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. MICCAI (2) 2016: 424-432 - [i5]Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu, Philipp Kainz, Michael Pfeiffer, Martin Urschler, David R. J. Snead, Nasir M. Rajpoot:
Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. CoRR abs/1603.00275 (2016) - [i4]Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger:
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. CoRR abs/1606.06650 (2016) - [i3]Jeffrey De Fauw, Pearse A. Keane, Nenad Tomasev, Daniel Visentin, George van den Driessche, Mike Johnson, Cían Hughes, Carlton Chu, Joseph R. Ledsam, Trevor Back, Tunde Peto, Geraint Rees, Hugh Montgomery, Rosalind Raine, Olaf Ronneberger, Julien Cornebise:
Automated analysis of retinal imaging using machine learning techniques for computer vision. F1000Research 5: 1573 (2016) - [i2]Carlton Chu, Jeffrey De Fauw, Nenad Tomasev, Bernardino Romera-Paredes, Cían Hughes, Joseph R. Ledsam, Trevor Back, Hugh Montgomery, Geraint Rees, Rosalind Raine, Kevin Sullivan, Syed Ali Moinuddin, Derek D'Souza, Olaf Ronneberger, Ruheena Mendes, Julien Cornebise:
Applying machine learning to automated segmentation of head and neck tumour volumes and organs at risk on radiotherapy planning CT and MRI scans. F1000Research 5: 2104 (2016) - 2015
- [j9]Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M. E. Steketee, Carolina Méndez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke:
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111: 562-579 (2015) - [c38]Robert Bensch, Thomas Brox, Olaf Ronneberger:
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection. BMVC 2015: 189.1-189.12 - [c37]Robert Bensch, Olaf Ronneberger:
Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs. ISBI 2015: 1220-1223 - [c36]Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. MICCAI (3) 2015: 234-241 - [i1]Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR abs/1505.04597 (2015) - 2014
- [j8]Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein, Klaus Palme, Thomas Brox, Olaf Ronneberger:
Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates. Int. J. Comput. Vis. 106(3): 342-364 (2014) - [j7]Daniel Kostro, Ahmed Abdulkadir, Alexandra Durr, Raymund Roos, Blair R. Leavitt, Hans J. Johnson, David M. Cash, Sarah J. Tabrizi, Rachael I. Scahill, Olaf Ronneberger, Stefan Klöppel:
Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing. NeuroImage 98: 405-415 (2014) - [c35]Dominic Mai, Olaf Ronneberger:
Improving Detection of Deformable Objects in Volumetric Data. BMVC 2014 - [c34]Dominic Mai, Jasmin Dürr, Klaus Palme, Olaf Ronneberger:
Accurate Detection in Volumetric Images Using Elastic Registration Based Validation. GCPR 2014: 453-463 - [c33]Kun Liu, Soeren S. Lienkamp, Asako Shindo, John B. Wallingford, Gerd Walz, Olaf Ronneberger:
Optical flow guided cell segmentation and tracking in developing tissue. ISBI 2014: 298-301 - [c32]Ahmed Abdulkadir, Olaf Ronneberger, Sarah J. Tabrizi, Stefan Klöppel:
Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI. PRNI 2014: 1-4 - 2013
- [j6]Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger:
Variational attenuation correction in two-view confocal microscopy. BMC Bioinform. 14: 366 (2013) - [c31]Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Olaf Ronneberger, Thomas Brox:
Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF). CVPR 2013: 2179-2186 - [c30]Dominic Mai, Philipp Fischer, Thomas Blein, Jasmin Dürr, Klaus Palme, Thomas Brox, Olaf Ronneberger:
Discriminative Detection and Alignment in Volumetric Data. GCPR 2013: 205-214 - [c29]Thorsten Schmidt, Jasmin Dürr, Margret Keuper, Thomas Blein, Klaus Palme, Olaf Ronneberger:
Variational attenuation correction of two-view confocal microscopic recordings. ISBI 2013: 169-172 - [c28]Kun Liu, Thorsten Schmidt, Thomas Blein, Jasmin Dürr, Klaus Palme, Olaf Ronneberger:
Joint 3D cell segmentation and classification in the Arabidopsis root using energy minimization and shape priors. ISBI 2013: 422-425 - 2012
- [j5]Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Thomas Brox, Olaf Ronneberger, Hans Burkhardt:
Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1563-1575 (2012) - [j4]Maja Temerinac-Ott, Olaf Ronneberger, Peter Ochs, Wolfgang Driever, Thomas Brox, Hans Burkhardt:
Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy. IEEE Trans. Image Process. 21(4): 1863-1873 (2012) - [c27]Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronneberger:
2D/3D rotation-invariant detection using equivariant filters and kernel weighted mapping. CVPR 2012: 917-924 - [c26]Thorsten Schmidt, Margret Keuper, Taras Pasternak, Klaus Palme, Olaf Ronneberger:
Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves. DAGM/OAGM Symposium 2012: 83-92 - [c25]Margret Keuper, Maja Temerinac-Ott, Jan Padeken, Patrick Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger:
Blind deconvolution with PSF regularization for wide-field microscopy. ISBI 2012: 1292-1295 - 2011
- [j3]Stefan Klöppel, Ahmed Abdulkadir, Stathis Hadjidemetriou, Sabine Issleib, Lars Frings, Thao Nguyen Thanh, Irina Mader, Stefan J. Teipel, Michael Hüll, Olaf Ronneberger:
A comparison of different automated methods for the detection of white matter lesions in MRI data. NeuroImage 57(2): 416-422 (2011) - [c24]Kun Liu, Henrik Skibbe, Thorsten Schmidt, Thomas Blein, Klaus Palme, Olaf Ronneberger:
3D Rotation-Invariant Description from Tensor Operation on Spherical HOG Field. BMVC 2011: 1-12 - [c23]Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Hans Burkhardt:
Spherical Bessel Filter for 3D object detection. ISBI 2011: 728-733 - [c22]Maja Temerinac-Ott, Olaf Ronneberger, Roland Nitschke, Wolfgang Driever, Hans Burkhardt:
Spatially-variant Lucy-Richardson deconvolution for multiview fusion of microscopical 3D images. ISBI 2011: 899-904 - [c21]Margret Keuper, Thorsten Schmidt, Marta Rodriguez-Franco, Wolfgang Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger:
Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings. ISBI 2011: 973-978 - [c20]Olaf Ronneberger:
Reusable modules for high-content 3D and 4D image analysis. ISBI 2011: 1719-1722 - [c19]Lingyu Ma, Marco Reisert, Christophe Wirth, Carola Hunte, Olaf Ronneberger, Hans Burkhardt:
Alpha helix prediction based on Metropolis-Hastings sampling. ISBI 2011: 1943-1949 - 2010
- [j2]Matthias Schlachter, Marco Reisert, Corinna Herz, Fabienne Schlurmann, Silke Lassmann, Martin Werner, Hans Burkhardt, Olaf Ronneberger:
Harmonic Filters for 3D Multichannel Data: Rotation Invariant Detection of Mitoses in Colorectal Cancer. IEEE Trans. Medical Imaging 29(8): 1485-1495 (2010) - [c18]Henrik Skibbe, Marco Reisert, Thorsten Schmidt, Klaus Palme, Olaf Ronneberger, Hans Burkhardt:
3D Object Detection Using a Fast Voxel-Wise Local Spherical Fourier Tensor Transformation. DAGM-Symposium 2010: 412-421 - [c17]Margret Keuper, Robert Bensch, Karsten Voigt, Alexander Dovzhenko, Klaus Palme, Hans Burkhardt, Olaf Ronneberger:
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation. DAGM-Symposium 2010: 462-471 - [c16]Margret Keuper, Thorsten Schmidt, Jan Padeken, Patrick Heun, Klaus Palme, Hans Burkhardt, Olaf Ronneberger:
3D Deformable Surfaces with Locally Self-Adjusting Parameters - A Robust Method to Determine Cell Nucleus Shapes. ICPR 2010: 2254-2257 - [c15]Margret Keuper, Hans Burkhardt, Olaf Ronneberger, Jan Padeken, Patrick Heun:
Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces. ICPR 2010: 2784-2787
2000 – 2009
- 2009
- [j1]Qing Wang, Olaf Ronneberger, Hans Burkhardt:
Rotational Invariance Based on Fourier Analysis in Polar and Spherical Coordinates. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1715-1722 (2009) - [c14]Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Hans Burkhardt:
Increasing the Dimension of Creativity in Rotation Invariant Feature Design Using 3D Tensorial Harmonics. DAGM-Symposium 2009: 141-150 - [c13]Qing Wang, Olaf Ronneberger, Ekkehard Schulze, Ralf Baumeister, Hans Burkhardt:
Using Lateral Coupled Snakes for Modeling the Contours of Worms. DAGM-Symposium 2009: 542-551 - [c12]Henrik Skibbe, Qing Wang, Olaf Ronneberger, Hans Burkhardt, Marco Reisert:
Fast computation of 3D spherical Fourier harmonic descriptors - a complete orthonormal basis for a rotational invariant representation of three-dimensional objects. ICCV Workshops 2009: 1863-1869 - [c11]Robert Bensch, Olaf Ronneberger, Bettina Greese, Christian Fleck, Katja Wester, Martin Hülskamp, Hans Burkhardt:
Image Analysis of Arabidopsis Trichome Patterning in 4D Confocal Datasets. ISBI 2009: 742-745 - [c10]Margret Keuper, Jan Padeken, Patrick Heun, Hans Burkhardt, Olaf Ronneberger:
A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli. ISVC (1) 2009: 865-874 - 2008
- [c9]Olaf Ronneberger, Qing Wang, Hans Burkhardt:
Fast and robust segmentation of spherical particles in volumetric data sets from brightfield microscopy. ISBI 2008: 372-375 - 2007
- [b1]Olaf Ronneberger:
3D invariants for automated pollen recognition. University of Freiburg, Freiburg im Breisgau, Germany, 2007, pp. 1-271 - [c8]Marco Reisert, Olaf Ronneberger, Hans Burkhardt:
Holomorphic Filters for Object Detection. DAGM-Symposium 2007: 304-313 - [c7]Marco Reisert, Olaf Ronneberger, Hans Burkhardt:
A Fast and Reliable Coin Recognition System. DAGM-Symposium 2007: 415-424 - [c6]Olaf Ronneberger, Qing Wang, Hans Burkhardt:
3D Invariants with High Robustness to Local Deformations for Automated Pollen Recognition. DAGM-Symposium 2007: 425-435 - [p1]Olaf Ronneberger:
3D-Invarianten zur automatischen Pollenerkennung [3D Invariants for Automated Pollen Recognition]. Ausgezeichnete Informatikdissertationen 2007: 239-248 - 2006
- [c5]Janis Fehr, Catharina Sauer, Haymo Kurz, Olaf Ronneberger, Hans Burkhardt:
Identifikation von Zellen in intaktem Gewebe. Bildverarbeitung für die Medizin 2006: 369-373 - [c4]Janina Schulz, Thorsten Schmidt, Olaf Ronneberger, Hans Burkhardt, Taras Pasternak, Alexander Dovzhenko, Klaus Palme:
Fast Scalar and Vectorial Grayscale Based Invariant Features for 3D Cell Nuclei Localization and Classification. DAGM-Symposium 2006: 182-191 - 2005
- [c3]Olaf Ronneberger, Janis Fehr, Hans Burkhardt:
Voxel-Wise Gray Scale Invariants for Simultaneous Segmentation and Classification. DAGM-Symposium 2005: 85-92 - [c2]Janis Fehr, Olaf Ronneberger, Haymo Kurz, Hans Burkhardt:
Self-learning Segmentation and Classification of Cell-Nuclei in 3D Volumetric Data Using Voxel-Wise Gray Scale Invariants. DAGM-Symposium 2005: 377-384 - 2002
- [c1]Olaf Ronneberger, Hans Burkhardt, Eckart Schultz:
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. ICPR (2) 2002: 290-
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