Publications

U-Net – Deep Learning for Cell Counting, Detection, and Morphometry Paper

Thorsten Falk, Dominic Mai, Robert Bensch, Özgün Çiçek, Ahmed Abdulkadir, Yassine Marrakchi, Anton Böhm, J. Deubner, Z. Jäckel, K. Seiwald, A. Dovzhenko, O. Tietz, C. Dal Bosco, S. Walsh, D. Saltukoglu, T. Tay, M. Prinz, K. Palme, M. Simons, I. Diester, Thomas Brox, Olaf Ronneberger

Nature Methods, 16: 67-70, 2019

Non-smooth non-convex Bregman minimization: unification and new algorithms Paper

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Peter Ochs, J. Fadili, Thomas Brox

Journal of Optimization Theory and Applications, 2019

Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics Paper

O. Mees, Maxim Tatarchenko, Thomas Brox, W. Burgard

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision Paper

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D. Kaljaca, Nikolaus Mayer, B. Vroegindeweij, A. Mencarelli, E. van Henten, Thomas Brox

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE: 5542--5549, Nov 2019

ISOO_DL^V2 - Semantic Instance Segmentation of Touching and Overlapping Objects Paper

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Anton Böhm, Maxim Tatarchenko, Thorsten Falk

IEEE International Symposium on Biomedical Imaging (ISBI), 2019

Anomaly Detection With Multiple-Hypotheses Predictions Paper

Tam Nguyen, Z. Lou, M. Klar, Thomas Brox

IEEE International Conference on Machine Learning (ICML), 2019

What Do Single-view 3D Reconstruction Networks Learn? Paper

Maxim Tatarchenko, S. Richter, R. Ranftl, Z. Li, V. Koltun, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth Paper

J. Facil, Benjamin Ummenhofer, Huizhong Zhou, L. Montesano, Thomas Brox, J. Civera

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Paper

Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Defending against universal perturbations with shared adversarial training Paper

C. Mummadi, Thomas Brox, J. Metzen

IEEE International Conference on Computer Vision (ICCV), 2019

FreiHAND: Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images Paper

Project

Christian Zimmermann, D. Ceylan, J. Yang, B. Russell, Max Argus, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2019

AutoDispNet: Improving Disparity Estimation With AutoML Paper

Tonmoy Saikia, Yassine Marrakchi, A. Zela, F. Hutter, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2019

Group pruning using a bounded lp norm for group gating and regularization Paper

C. Mummadi, T. Genewein, D. Zhang, Thomas Brox, V. Fischer

German Conference on Pattern Recognition (GCPR), Springer, LNCS, 2019

DeepUSPS: deep robust unsupervised saliency prediction via self-supervision Paper

Tam Nguyen, M. Dax, C. Mummadi, N. Ngo, Tam Nguyen, Z. Lou, Thomas Brox

Advances in Neural Information Processing Systems (NeurIPS), 2019

Parting with Illusions about Deep Active Learning Paper

Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox

Technical Report 1912.05361, arXiv(1912.05361), 2019

Cross-sectional and longitudinal voxel-based grey matter asymmetries in Huntingtons disease doi>

L. Minkova, S. Gregory, R. Scahill, Ahmed Abdulkadir, C. Kaller, J. Peter, J. Long, J. Stout, R. Reilmann, R. Roos, A. Durr, B. Leavit, S. Tabrizi, S. Kloeppel

NeuroImage Clinical, 17: 312--324, 2018

Clinically applicable deep learning for diagnosis and referral in retinal disease Paper

paper-De_Fauw_et_al_2018_Nature_Medicine.pdf

doi> Code/data

J. De Fauw, J. Ledsam, B. Romera-Paredes, S. Nikolov, N. Tomasev, S. Blackwell, H. Askham, X. Glorot, B. O’Donoghue, D. Visentin, G. van den Driessche, B. Lakshminarayanan, C. Meyer, F. Mackinder, S. Bouton, K. Ayoub, R. Chopra, D. King, A. Karthikesalingam, C. Hughes, R. Raine, J. Hughes, D. Sim, C. Egan, A. Tufail, H. Montgomery, D. Hassabis, G. Rees, T. Back, P. Khaw, M. Suleyman, J. Cornebise, P. Keane, Olaf Ronneberger

Nature Medicine, 24(9): 1342--1350, 2018

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

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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