| Fiji: an open-source platform for biological-image analysis J Schindelin, I Arganda-Carreras, E Frise, V Kaynig, M Longair, T Pietzsch, ... Nature methods 9 (7), 676-682, 2012 | 72220 | 2012 |
| Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification I Arganda-Carreras, V Kaynig, C Rueden, KW Eliceiri, J Schindelin, ... Bioinformatics 33 (15), 2424-2426, 2017 | 2695 | 2017 |
| Saturated reconstruction of a volume of neocortex N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ... Cell 162 (3), 648-661, 2015 | 1218 | 2015 |
| Nat Methods J Schindelin, I Arganda-Carreras, E Frise, V Kaynig, M Longair, T Pietzsch, ... Nat Methods 9 (7), 2012 | 1208* | 2012 |
| Large-scale automatic reconstruction of neuronal processes from electron microscopy images V Kaynig, A Vazquez-Reina, S Knowles-Barley, M Roberts, TR Jones, ... Medical image analysis 22 (1), 77-88, 2015 | 150 | 2015 |
| Neuron geometry extraction by perceptual grouping in ssTEM images V Kaynig, T Fuchs, JM Buhmann 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 138 | 2010 |
| Fully automatic stitching and distortion correction of transmission electron microscope images V Kaynig, B Fischer, E Müller, JM Buhmann Journal of structural biology 171 (2), 163-173, 2010 | 101 | 2010 |
| Visualization in connectomics H Pfister, V Kaynig, CP Botha, S Bruckner, VJ Dercksen, HC Hege, ... Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable …, 2014 | 49 | 2014 |
| Geometrical consistent 3D tracing of neuronal processes in ssTEM data V Kaynig, TJ Fuchs, JM Buhmann International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 44 | 2010 |
| Trainable_Segmentation: Release v3. 1.2 I Arganda-Carreras, V Kaynig, C Rueden, J Schindelin, A Cardona, ... Zenodo, 2016 | 41 | 2016 |
| Guided proofreading of automatic segmentations for connectomics D Haehn, V Kaynig, J Tompkin, JW Lichtman, H Pfister Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 37 | 2018 |
| Scalable interactive visualization for connectomics D Haehn, J Hoffer, B Matejek, A Suissa-Peleg, AK Al-Awami, L Kamentsky, ... Informatics 4 (3), 29, 2017 | 36 | 2017 |
| RhoanaNet pipeline: Dense automatic neural annotation S Knowles-Barley, V Kaynig, TR Jones, A Wilson, J Morgan, D Lee, ... arXiv preprint arXiv:1611.06973, 2016 | 29 | 2016 |
| Probabilistic image registration and anomaly detection by nonlinear warping V Kaynig, B Fischer, JM Buhmann 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 27 | 2008 |
| Automatic neural reconstruction from petavoxel of electron microscopy data A Suissa-Peleg, D Haehn, S Knowles-Barley, V Kaynig, TR Jones, ... Microscopy and Microanalysis 22 (S3), 536-537, 2016 | 19 | 2016 |
| Imaging a 1 mm3Volume of Rat Cortex Using a MultiBeam SEM R Schalek, D Lee, N Kasthuri, A Peleg, T Jones, V Kaynig, D Haehn, ... Microscopy and Microanalysis 22 (S3), 582-583, 2016 | 18 | 2016 |
| Fully automatic registration of electron microscopy images with high and low resolution V Kaynig, B Fischer, R Wepf, JM Buhmann Microscopy and Microanalysis 13 (S02), 198-199, 2007 | 11 | 2007 |
| ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures F Gonda, V Kaynig, TR Jones, D Haehn, JW Lichtman, T Parag, H Pfister 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 10 | 2017 |
| Fiji J Schindelin, I Arganda-Carreras, E Frise, V Kaynig, M Longair, T Pietzsch, ... an open-source platform for biological-image analysis 2012, 9, 2019 | 7 | 2019 |
| Machine learning approaches for neuron geometry extraction and synapse detection in electron microscopy images VS Kaynig-Fittkau ETH Zurich, 2011 | 5 | 2011 |
