| Development and assessment of new exchange-correlation functionals FA Hamprecht, AJ Cohen, DJ Tozer, NC Handy The Journal of Chemical Physics 109 (15), 6264-6271, 1998 | 1511 | 1998 |
| Ilastik: Interactive learning and segmentation toolkit C Sommer, C Straehle, U Koethe, FA Hamprecht 2011 IEEE international symposium on biomedical imaging: From nano to macro …, 2011 | 872 | 2011 |
| A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data BH Menze, BM Kelm, R Masuch, U Himmelreich, P Bachert, W Petrich, ... BMC bioinformatics 10 (1), 213, 2009 | 420 | 2009 |
| Three-dimensional quantitative similarity− activity relationships (3d qsiar) from seal similarity matrices H Kubinyi, FA Hamprecht, T Mietzner Journal of medicinal chemistry 41 (14), 2553-2564, 1998 | 272 | 1998 |
| On oblique random forests BH Menze, BM Kelm, DN Splitthoff, U Koethe, FA Hamprecht Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 200 | 2011 |
| A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 192 | 2013 |
| An objective comparison of cell-tracking algorithms V Ulman, M Maška, KEG Magnusson, O Ronneberger, C Haubold, ... Nature methods 14 (12), 1141-1152, 2017 | 189 | 2017 |
| A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115 (2), 155-184, 2015 | 176 | 2015 |
| Robust prediction of the MASCOT score for an improved quality assessment in mass spectrometric proteomics T Koenig, BH Menze, M Kirchner, F Monigatti, KC Parker, T Patterson, ... Journal of proteome research 7 (9), 3708-3717, 2008 | 171 | 2008 |
| Learning to count with regression forest and structured labels L Fiaschi, U Köthe, R Nair, FA Hamprecht Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 164 | 2012 |
| Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy M Pfannmoller, H Flugge, G Benner, I Wacker, C Sommer, M Hanselmann, ... Nano letters 11 (8), 3099-3107, 2011 | 162 | 2011 |
| Multi-modal brain tumor segmentation using deep convolutional neural networks G Urban, M Bendszus, F Hamprecht, J Kleesiek MICCAI BraTS (brain tumor segmentation) challenge. Proceedings, winning …, 2014 | 146 | 2014 |
| Automated detection and segmentation of synaptic contacts in nearly isotropic serial electron microscopy images A Kreshuk, CN Straehle, C Sommer, U Koethe, M Cantoni, G Knott, ... PloS one 6 (10), e24899, 2011 | 132 | 2011 |
| Segmentation of SBFSEM volume data of neural tissue by hierarchical classification B Andres, U Köthe, M Helmstaedter, W Denk, FA Hamprecht Joint Pattern Recognition Symposium, 142-152, 2008 | 121 | 2008 |
| Learning steerable filters for rotation equivariant CNNs M Weiler, FA Hamprecht, M Storath Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 110 | 2018 |
| Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras M Frank, M Plaue, H Rapp, U Koethe, B Jähne, FA Hamprecht Optical Engineering 48 (1), 013602, 2009 | 108 | 2009 |
| Concise representation of mass spectrometry images by probabilistic latent semantic analysis M Hanselmann, M Kirchner, BY Renard, ER Amstalden, K Glunde, ... Analytical chemistry 80 (24), 9649-9658, 2008 | 106 | 2008 |
| Essentially no barriers in neural network energy landscape F Draxler, K Veschgini, M Salmhofer, FA Hamprecht arXiv preprint arXiv:1803.00885, 2018 | 98 | 2018 |
| Globally optimal closed-surface segmentation for connectomics B Andres, T Kroeger, KL Briggman, W Denk, N Korogod, G Knott, ... European Conference on Computer Vision, 778-791, 2012 | 95 | 2012 |
| Probabilistic image segmentation with closedness constraints B Andres, JH Kappes, T Beier, U Köthe, FA Hamprecht 2011 International Conference on Computer Vision, 2611-2618, 2011 | 91 | 2011 |
Bjoern H MenzeComputer Science, Technische Universität MünchenVerified email at tum.de
