Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison

Marius Pullig; Benjamin Bergner; Amish Doshi; Anja Hennemuth; Zahi A. Fayad; Christoph Lippert

doi:10.1007/978-3-658-36932-3_44

Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison

Marius Pullig, Benjamin Bergner, Amish Doshi, Anja Hennemuth, Zahi A. Fayad, Christoph Lippert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing
Editors	Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	204-209
Number of pages	6
ISBN (Print)	9783658369316
DOIs	https://doi.org/10.1007/978-3-658-36932-3_44
State	Published - 2022
Event	German Workshop on Medical Image Computing, 2022 - Heidelberg, Germany Duration: 26 Jun 2022 → 28 Jun 2022

Publication series

Name	Informatik aktuell
ISSN (Print)	1431-472X

Conference

Conference	German Workshop on Medical Image Computing, 2022
Country/Territory	Germany
City	Heidelberg
Period	26/06/22 → 28/06/22

Access to Document

10.1007/978-3-658-36932-3_44

Cite this

Pullig, M., Bergner, B., Doshi, A., Hennemuth, A., Fayad, Z. A., & Lippert, C. (2022). Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison. In K. Maier-Hein, T. M. Deserno, H. Handels, A. Maier, C. Palm, & T. Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing (pp. 204-209). (Informatik aktuell). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-658-36932-3_44

Pullig, Marius ; Bergner, Benjamin ; Doshi, Amish et al. / Deep Learning Models for 3D MRI Brain Classification : A Multi-sequence Comparison. Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing. editor / Klaus Maier-Hein ; Thomas M. Deserno ; Heinz Handels ; Andreas Maier ; Christoph Palm ; Thomas Tolxdorff. Springer Science and Business Media Deutschland GmbH, 2022. pp. 204-209 (Informatik aktuell).

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booktitle = "Bildverarbeitung f{\"u}r die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing",

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Pullig, M, Bergner, B, Doshi, A, Hennemuth, A, Fayad, ZA & Lippert, C 2022, Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison. in K Maier-Hein, TM Deserno, H Handels, A Maier, C Palm & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing. Informatik aktuell, Springer Science and Business Media Deutschland GmbH, pp. 204-209, German Workshop on Medical Image Computing, 2022, Heidelberg, Germany, 26/06/22. https://doi.org/10.1007/978-3-658-36932-3_44

Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison. / Pullig, Marius; Bergner, Benjamin; Doshi, Amish et al.
Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing. ed. / Klaus Maier-Hein; Thomas M. Deserno; Heinz Handels; Andreas Maier; Christoph Palm; Thomas Tolxdorff. Springer Science and Business Media Deutschland GmbH, 2022. p. 204-209 (Informatik aktuell).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Pullig M, Bergner B, Doshi A, Hennemuth A, Fayad ZA, Lippert C. Deep Learning Models for 3D MRI Brain Classification: A Multi-sequence Comparison. In Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T, editors, Bildverarbeitung für die Medizin 2022 - Proceedings, German Workshop on Medical Image Computing. Springer Science and Business Media Deutschland GmbH. 2022. p. 204-209. (Informatik aktuell). doi: 10.1007/978-3-658-36932-3_44