PEHLIVAN, Guelsuem, WILD, Carl Mathis, BAUMGARTL, Julia, HARTMANN, Dennis, DITSCH, Nina, KRAMER, Frank und MÜLLER, Dominik, 2024. Deep learning based automatic fibroglandular tissue segmentation in breast magnetic resonance imaging screening. Augsburg: Universität Augsburg.

Pehlivan, G., Wild, C.M., Baumgartl, J., Hartmann, D., Ditsch, N., Kramer, F., Müller, D., 2024. Deep learning based automatic fibroglandular tissue segmentation in breast magnetic resonance imaging screening, Studies in Health Technology and Informatics. Universität Augsburg, Augsburg. https://doi.org/10.3233/shti240606

Pehlivan, G., Wild, C. M., Baumgartl, J., Hartmann, D., Ditsch, N., Kramer, F., & Müller, D. (ca. 2024). Deep learning based automatic fibroglandular tissue segmentation in breast magnetic resonance imaging screening [Cd]. In J. Mantas, A. Hasman, G. Demiris, K. Saranto, M. Marschollek, T. N. Arvanitis, I. Ognjanović, A. Benis, P. Gallos, E. Zoulias, & E. Andrikopoulou (Hrsg.), Studies in Health Technology and Informatics. Universität Augsburg. https://doi.org/10.3233/shti240606

Pehlivan G, Wild CM, Baumgartl J, Hartmann D, Ditsch N, Kramer F, Müller D (2024) Deep learning based automatic fibroglandular tissue segmentation in breast magnetic resonance imaging screening. Universität Augsburg, Augsburg

Pehlivan, Guelsuem/ Wild, Carl Mathis/ Baumgartl, Julia/ Hartmann, Dennis/ Ditsch, Nina/ Kramer, Frank/ Müller, Dominik, Deep learning based automatic fibroglandular tissue segmentation in breast magnetic resonance imaging screening, Augsburg 2024.