Urakubo, H., Bullmann, T., Kubota, Y., Oba, S., & Ishii, S. (2019). UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images. Scientific Reports, 9(1), 1-9. https://doi.org/10.1038/s41598-019-55431-0
ISO-690 (author-date, English)URAKUBO, Hidetoshi, BULLMANN, Torsten, KUBOTA, Yoshiyuki, OBA, Shigeyuki und ISHII, Shin, 2019. UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images. Scientific Reports. 19 Dezember 2019. Vol. 9, no. 1, p. 1-9. DOI 10.1038/s41598-019-55431-0.
Modern Language Association 9th editionUrakubo, H., T. Bullmann, Y. Kubota, S. Oba, und S. Ishii. „UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images.“. Scientific Reports, Bd. 9, Nr. 1, Dezember 2019, S. 1-9, https://doi.org/10.1038/s41598-019-55431-0.
Mohr Siebeck - Recht (Deutsch - Österreich)Urakubo, Hidetoshi/Bullmann, Torsten/Kubota, Yoshiyuki/Oba, Shigeyuki/Ishii, Shin: UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images., Scientific Reports 2019, 1-9.
Emerald - HarvardUrakubo, H., Bullmann, T., Kubota, Y., Oba, S. und Ishii, S. (2019), „UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images.“, Scientific Reports, Vol. 9 No. 1, S. 1-9.