| Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks J Stegmaier, JC Otte, A Kobitski, A Bartschat, A Garcia, GU Nienhaus, ... PloS one 9 (2), e90036, 2014 | 109 | 2014 |
| Cellular in vivo 3D imaging of the cornea by confocal laser scanning microscopy S Bohn, K Sperlich, S Allgeier, A Bartschat, R Prakasam, KM Reichert, ... Biomedical optics express 9 (6), 2511-2525, 2018 | 55 | 2018 |
| XPIWIT—an XML pipeline wrapper for the Insight Toolkit A Bartschat, E Hübner, M Reischl, R Mikut, J Stegmaier Bioinformatics 32 (2), 315-317, 2015 | 52 | 2015 |
| Data mining tools A Bartschat, M Reischl, R Mikut Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, e1309, 2019 | 42 | 2019 |
| 3D confocal laser-scanning microscopy for large-area imaging of the corneal subbasal nerve plexus S Allgeier, A Bartschat, S Bohn, S Peschel, KM Reichert, K Sperlich, ... Scientific reports 8 (1), 7468, 2018 | 40 | 2018 |
| The MATLAB toolbox SciXMiner: User's manual and programmer's guide R Mikut, A Bartschat, W Doneit, JÁG Ordiano, B Schott, J Stegmaier, ... arXiv preprint arXiv:1704.03298, 2017 | 40 | 2017 |
| EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos B Schott, M Traub, C Schlagenhauf, M Takamiya, T Antritter, A Bartschat, ... PLOS Computational Biology 14 (4), e1006128, 2018 | 30 | 2018 |
| Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection J Stegmaier, TV Spina, AX Falcao, A Bartschat, R Mikut, E Meyerowitz, ... 2018 IEEE 15th International symposium on biomedical imaging (ISBI 2018 …, 2018 | 25 | 2018 |
| pyWATTS: Python workflow automation tool for time series B Heidrich, A Bartschat, M Turowski, O Neumann, K Phipps, ... arXiv preprint arXiv:2106.10157, 2021 | 24 | 2021 |
| Inherently UV photodegradable poly (methacrylate) gels JM Scheiger, S Li, M Brehm, A Bartschat, P Theato, PA Levkin Advanced Functional Materials 31 (49), 2105681, 2021 | 22 | 2021 |
| Concept and benchmark results for Big Data energy forecasting based on Apache Spark JÁ González Ordiano, A Bartschat, N Ludwig, E Braun, S Waczowicz, ... Journal of Big Data 5, 1-11, 2018 | 20 | 2018 |
| Influence of synthetic label image object properties on GAN supported segmentation pipelines M Böhland, T Scherr, A Bartschat, R Mikut, M Reischl Proceedings 29th Workshop Computational Intelligence, 289-305, 2019 | 17 | 2019 |
| Best practices in deep learning-based segmentation of microscopy images T Scherr, A Bartschat, M Reischl, J Stegmaier, R Mikut KIT Scientific Publishing, 2018 | 15 | 2018 |
| Parkinson’s disease with restless legs syndrome—an in vivo corneal confocal microscopy study M Andréasson, N Lagali, RA Badian, TP Utheim, F Scarpa, A Colonna, ... npj Parkinson's Disease 7 (1), 4, 2021 | 13 | 2021 |
| Burst of corneal dendritic cells during trastuzumab and paclitaxel treatment KA Sterenczak, N Stache, S Bohn, S Allgeier, B Köhler, A Bartschat, ... Diagnostics 11 (5), 838, 2021 | 12 | 2021 |
| Wide-field mosaics of the corneal subbasal nerve plexus in Parkinson’s disease using in vivo confocal microscopy RA Badian, S Allgeier, F Scarpa, M Andréasson, A Bartschat, R Mikut, ... Scientific data 8 (1), 306, 2021 | 11 | 2021 |
| Towards deepspray: Using convolutional neural network to post-process shadowgraphy images of liquid atomization G Chaussonnet, C Lieber, Y Yikang, W Gu, A Bartschat, M Reischl, ... arXiv preprint arXiv:1910.11073, 2019 | 11 | 2019 |
| Real-time large-area imaging of the corneal subbasal nerve plexus S Allgeier, A Bartschat, S Bohn, RF Guthoff, V Hagenmeyer, L Kornelius, ... Scientific reports 12 (1), 2481, 2022 | 9 | 2022 |
| BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images T Scherr, K Streule, A Bartschat, M Böhland, J Stegmaier, M Reischl, ... Bioinformatics 36 (17), 4668-4670, 2020 | 8 | 2020 |
| Automatic corneal tissue classification using bag-of visual-words approaches A Bartschat, L Toso, J Stegmaier, A Kuijper, R Mikut, B Köhler, S Allgeier Forum Bildverarbeitung 2016 84 (7-8), 245, 2016 | 8 | 2016 |
Ralf MikutKarlsruhe Institute of Technology (Germany)在 kit.edu 的电子邮件经过验证
