Publications

Jannik Stebani, Martin Blaimer, Simon Zabler, Tilmann Neun, Daniël M. Pelt, Kristen Rak (2023). Towards fully automated inner ear analysis with deep-learning-based joint segmentation and landmark detection framework. Scientific Reports.
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Philipp Fey, Daniel Ludwig Weber, Jannik Stebani, Philipp Mörchel, Peter Jakob, Jan Hansmann, Karl-Heinz Hiller, Daniel Haddad (2023). Non-destructive classification of unlabeled cells: Combining an automated benchtop magnetic resonance scanner and artificial intelligence. PLOS Computational Biology.
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Peter Dawood, Felix Breuer, Jannik Stebani, Paul Burd, István Homolya, Johannes Oberberger, Peter M. Jakob, Martin Blaimer (2023). Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples. Magnetic Resonance in Medicine.
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Jannik Stebani, Martin Blaimer, Simon Zabler, Rudolf Hagen, Kristen Rak (2022). Vollautomatisierte Innenohranalyse: Gekoppelte Segmentierung und anatomische Leitstrukturerkennung aus Volumen-CT-Daten mittels tiefer neuronaler Netze.
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Jannik Stebani, Martin Blaimer, Simon Zabler, Rudolf Hagen, Kristen Rak (2022). Fully automated analysis of the inner ear: joint segmentation and anatomical landmark detection from 3D-CT data with deep neural networks. Laryngo-Rhino-Otologie.
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