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Pseudo-CT image generation from mDixon MRI images using fully convolutional neural networks.

, , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10953 из SPIE Proceedings, стр. 109530Z. SPIE, (2019)

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Steffen Renisch

Björn Renisch

Steffen Hagemann

Die Siedlerbewegung: Fundamentalismus in Israel. Uni Berlin, (2009)

Steffen Dürrstein

Untersuchung komplexer Reaktionsmechanismen durch zeitaufgelöste Massenspektrometrie hinter reflektierten Stoßwellen. Uni Karlsruhe, (2009)

Steffen Reichmann

Online-Marktforschung gegenüber den Anspruchsgruppen der Unternehmung: Gestaltungsempfehlungen für das Performance Measurement unter besonderer Berücksichtigung der Dienstleistungsbranche. Uni Siegen, (2009)
 

Другие публикации лиц с тем же именем

Pseudo-CT image generation from mDixon MRI images using fully convolutional neural networks., , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10953 из SPIE Proceedings, стр. 109530Z. SPIE, (2019)Unpaired Synthetic Image Generation in Radiology Using GANs., , , , и . AIRT@MICCAI, том 11850 из Lecture Notes in Computer Science, стр. 94-101. Springer, (2019)Simultaneous segmentation and tree reconstruction of the airways for virtual bronchoscopy., , , , и . Medical Imaging: Image Processing, том 4684 из SPIE Proceedings, SPIE, (2002)Validation of elastic registration algorithms based on adaptive irregular grids for medical applications., , , и . Medical Imaging: Image Processing, том 6144 из SPIE Proceedings, стр. 614429. SPIE, (2006)An Adaptive Irregular Grid Approach Using SIFT Features for Elastic Medical Image Registration., , и . Bildverarbeitung für die Medizin, стр. 201-205. Springer, (2006)Organ-At-Risk Segmentation in Brain MRI Using Model-Based Segmentation: Benefits of Deep Learning-Based Boundary Detectors., , , и . ShapeMI@@MICCAI, том 11167 из Lecture Notes in Computer Science, стр. 291-299. Springer, (2018)