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Hierarchical Feature-learning Graph-based Segmentation of Fat-Water MR Images

F. Fallah, B. Yang, S. Walter, and F. Bamberg. Signal Processing: Algorithms, Architectures, Arrangements and Applications (SPA 2018) : conference proceedings, page 37-42. Piscataway, NJ, IEEE, (2018)
DOI: 10.23919/SPA.2018.8563415

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Fabian Schnelle

Design and programming for cable-driven parallel robots in the German pavilion at the EXPO 2015P. Tempel, F. Schnelle, A. Pott, and P. Eberhard. Machines, 3 (3): 223-241 (2015)

Fabian Schlichtherle University of Stuttgart

Guardians of the SAV – Security Measures for the Interior of Shared Automated VehiclesF. Schlichtherle, V. Haubensak, and W. Remlinger. Posterbeitrag, (2024)

Dr. Fabian Schubö University of Stuttgart

Fabian Silber University of Stuttgart

Fabian Marquardt University of Stuttgart

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Automatic atlas-guided constrained random Walker algorithm for 3D segmentation of muscles on water magnetic resonance images.F. Fallah, B. Yang, and F. Bamberg. EUSIPCO, page 251-255. IEEE, (2017)Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images.F. Fallah, K. Armanious, B. Yang, and F. Bamberg. EUSIPCO, page 1-5. IEEE, (2019)Reduced scan range abdominopelvic CT in patients with suspected acute appendicitis - impact on diagnostic accuracy and effective radiation dose.D. Zinsser, M. Maurer, P. Do, J. Weiß, M. Notohamiprodjo, F. Bamberg, and A. Othman. BMC Medical Imaging, 19 (1): 4:1-4:7 (2019)Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Imaging.S. Milde, A. Liebgott, Z. Wu, W. Feng, J. Yang, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis and 3 other author(s). APSIPA, page 838-847. IEEE, (2018)Automated segmentation of abdominal organs in T1-weighted MR images using a deep learning approach: application on a large epidemiological MR studyT. Küstner, M. Fischer, S. Müller, D. Gutmann, K. Nikolaou, F. Bamberg, B. Yang, F. Schick, and S. Gatidis. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, (June 2018)Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR ImagesF. Fallah, S. Walter, F. Bamberg, and B. Yang. IEEE Journal of Biomedical and Health Informatics, 23 (4): 1692-1701 (2019)Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort StudiesT. Kart, M. Fischer, S. Winzeck, B. Glocker, W. Bai, R. Buelow, C. Emmel, L. Friedrich, H. Kauczor, T. Keil and 15 other author(s). Scientific reports, (2022)Semantic Organ Segmentation In 3D Whole-Body MR ImagesT. Küstner, S. Müller, M. Fischer, J. Weiss, K. Nikolaou, F. Bamberg, B. Yang, F. Schick, and S. Gatidis. 2018 25th IEEE International Conference on Image Processing (ICIP), page 3498-3502. IEEE, (2018)Graphical User Interface for Medical Deep Learning - Application to Magnetic Resonance Motion Artifact DetectionS. Milde, A. Liebgott, Z. Wu, W. Feng, J. Yang, L. Mauch, P. Martirosian, F. Bamberg, K. Nikolaou, S. Gatidis and 3 other author(s). Proceedings of the IEEE Asia-Pacific Signal and Information Processing Association (APSIPA), (2018)Preclinical x-ray dark-field radiography for pulmonary emphysema evaluation.A. Yaroshenko, F. Meinel, M. Bech, A. Tapfer, A. Velroyen, S. Schleede, M. Müller, S. Auweter, A. Bohla, A. Yildirim and 5 other author(s). ISBI, page 370-373. (2013)