Publications

Biological Factors Contributing to the Response to Cognitive Training in Mild Cognitive Impairment doi>

J. Peter, L. Schumacher, V. Landerer, Ahmed Abdulkadir, C. Kaller, J. Lahr, S. Kloeppel

Journal of Alzheimers Disease, 61(1): 333--345, 2018

Separating Symptomatic Alzheimers Disease from Depression based on Structural MRI

S. Klöppel, M. Kotschi, J. Peter, K. Egger, L. Hausner, L. Frölich, A. Förster, B. Heimbach, C. Normann, W. Vach, H. Urbach, Ahmed Abdulkadir

Journal of Alzheimers Disease, 63(1), 2018

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Paper

doi> Project

Nikolaus Mayer, Eddy Ilg, Philipp Fischer, C. Hazirbas, D. Cremers, Alexey Dosovitskiy, Thomas Brox

International Journal of Computer Vision, 126(9): 942-960, 2018

Artistic style transfer for videos and spherical images Paper

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Manuel Ruder, Alexey Dosovitskiy, Thomas Brox

International Journal of Computer Vision, 126(11): 1199-1219, Nov 2018

Data-Driven Modeling of Intracellular Auxin Fluxes Indicates a Dominant Role of the ER in Controlling Nuclear Auxin Uptake doi> Code/data

A. Middleton, C. Dal Bosco, P. Chlap, Robert Bensch, H. Harz, F. Ren, S. Bergmann, S. Wend, W. Weber, K. Hayashi, M. Zurbriggen, R. Uhl, Olaf Ronneberger, K. Palme, C. Fleck, A. Dovzhenko

Cell Reports, 22(11): 3044--3057, Mar 2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning Paper

Project

Artemij Amiranashvili, A. Dosovitskiy, V. Koltun, Thomas Brox

International Conference on Learning Representations (ICLR), 2018

3D Human Pose Estimation in RGBD Images for Robotic Task Learning Paper

Project

Christian Zimmermann, T. Welschehold, C. Dornhege, W. Burgard, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), 2018

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders Paper

Gabriel Leivas Oliveira, W. Burgard, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2018

Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes Paper

Jonas Uhrig, E. Rehder, B. Fröhlich, U. Franke, Thomas Brox

IEEE Intelligent Vehicles Symposium (IV), 2018

Tangent Convolutions for Dense Prediction in 3D Paper

Maxim Tatarchenko, J. Park, V. Koltun, Q. Zhou

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures Paper

D. Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

European Conference on Computer Vision (ECCV) Workshops, 2018

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation Paper

Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Paper

Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, F. Hutter, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

DeepTAM: Deep Tracking and Mapping Paper

Project

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

ECO: Efficient Convolutional Network for Online Video Understanding Paper

Code/data

Project

Mohammadreza Zolfaghari, K. Singh, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

Motion Perception in Reinforcement Learning with Dynamic Objects Paper

Project

Artemij Amiranashvili, A. Dosovitskiy, V. Koltun, Thomas Brox

Conference on Robot Learning (CoRL), 2018

A Probabilistic U-Net for Segmentation of Ambiguous Images Paper

7928-a-probabilistic-u-net-for-segmentation-of-ambiguous-images.pdf

S. Kohl, B. Romera-Paredes, C. Meyer, J. De Fauw, J. Ledsam, K. Maier-Hein, S. Eslami, D. Jimenez Rezende, Olaf Ronneberger

32nd Conference on Neural Information Processing Systems (NeurIPS), Dec 2018

ISOO_DL: Instance segmentation of overlapping biological objects using deep learning Paper

paper-ISBI18_ISOO_final_030118_IEEE_CR.pdf

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Anton Böhm, A. Ücker, T. Jäger, Olaf Ronneberger, Thorsten Falk

15th International Symposium on Biomedical Imaging (ISBI), IEEE: 1225--1229, 2018

Functional Magnetic Resonance Imaging in Alzheimer’ Disease Drug Development doi>

S. Holiga, Ahmed Abdulkadir, S. Klöppel, J. Dukart

Springer, Vol.1750: 159--163, Mar 2018

FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images Paper

Osama Makansi, Eddy Ilg, Thomas Brox

Technical Report , arXiv:1808.06389, 2018

Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy Paper

S. Nikolov, S. Blackwell, R. Mendes, J. De Fauw, C. Meyer, C. Hughes, H. Askham, B. Romera-Paredes, A. Karthikesalingam, C. Chu, D. Carnell, C. , D. D'Souza, S. Moinuddin, K. Sullivan, D. Consortium, H. Montgomery, G. Rees, R. Sharma, M. Suleyman, T. Back, J. Ledsam, Olaf Ronneberger

Technical Report , arXiv:1809.04430, Sep 2018

A 3D digital atlas of the Nicotiana tabacum root tip and its use to investigate changes in the root apical meristem induced by the Agrobacterium 6b oncogene doi>

T. Pasternak, T. Haser, Thorsten Falk, Olaf Ronneberger, K. Palme, L. Otten

The Plant Journal, 92(1): 31--42, Aug 2017

Efficient and Robust Deep Networks for Semantic Segmentation Paper

doi> Code/data

Gabriel Leivas Oliveira, C. Bollen, W. Burgard, Thomas Brox

The International Journal of Robotics Research (IJRR), 2017

Real-world navigation in amnestic mild cognitive impairment - The relation to visuospatial memory and volume of hippocampal subregions doi>

J. Peter, R. Sandkamp, L. Minkova, L. Schumacher, C. Kaller, Ahmed Abdulkadir, S. Kloeppel

Neuropsychologia, 109: 86--94, 2017

A new fate mapping system reveals context-dependent random or clonal expansion of microglia doi>

T. Leng Tay, Dominic Mai, J. Dautzenberg, F. Fernández-Klett, G. Lin, S. , M. Datta, A. Drougard, T. Stempfl, A. Ardura-Fabregat, O. Staszewski, A. Margineanu, A. Sporbert, L. M Steinmetz, J. Andrew Pospisilik, S. Jung, J. Priller, D. Grün, Olaf Ronneberger, M. Prinz

Nature Neuroscience, 2017

An objective comparison of cell-tracking algorithms doi>

V. Ulman, M. Maška, K. Magnusson, Olaf Ronneberger, C. Haubold, N. Harder, P. Matula, P. Matula, D. Svoboda, M. Radojevic, I. Smal, K. Rohr, J. Jaldén, H. Blau, O. Dzyubachyk, B. Lelieveldt, P. Xiao, Y. Li, S. Cho, A. Dufour, J. Olivo-Marin, C. Reyes-Aldasoro, J. Solis-Lemus, Robert Bensch, Thomas Brox, J. Stegmaier, R. Mikut, S. Wolf, F. Hamprecht, T. Esteves, P. Quelhas, Ö. Demirel, L. Malmström, F. Jug, P. Tomancák, E. Meijering, A. Muñoz-Barrutia, M. Kozubek, C. Ortiz-de-Solor

Nature Methods, 14: 1141-1152, 2017

Effective Image Differencing with Convolutional Neural Networks for Real-time Transient Hunting Paper

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Nima Sedaghat, A. Mahabal

Monthly Notices of the Royal Astronomical Society, 2017

Gland segmentation in colon histology images: The glas challenge contest doi>

K. Sirinukunwattana, J. Pluim, H. Chen, X. Qi, P. Heng, Y. Guo, L. Wang, B. Matuszewski, E. Bruni, U. Sanchez, Anton Böhm, Olaf Ronneberger, B. Cheikh, D. Racoceanu, P. Kainz, M. Pfeiffer, M. Urschler, D. Snead, N. Rajpoot

Medical Image Analysis, 35: 489-502, 2017

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection doi> Code/data

Robert Bensch, N. Scherf, J. Huisken, Thomas Brox, Olaf Ronneberger

International Journal of Computer Vision, 122(3): 502--523, May 2017

Global, Dense Multiscale Reconstruction for a Billion Points Paper

doi> Project

Benjamin Ummenhofer, Thomas Brox

International Journal of Computer Vision, 125(1-3): 82-94, 2017