Publications

  • F. Isensee, P. F. Jaeger, P. M. Full, I. Wolf, S. Engelhardt, and K. H. Maier-Hein: “Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features,” in Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2018, pp. 120–129.
  • O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng, I. Cetin, K. Lekadir, O. Camara, M. A. G. Ballester, G. Sanroma, S. Napel, S. Petersen, G. Tziritas, E. Grinias, M. Khened, V. A. Kollerathu, G. Krishnamurthi, M. Rohé, X. Pennec, M. Sermesant, F. Isensee, P. Jäger, K. H. Maier-Hein, P. M. Full, I. Wolf, S. Engelhardt, C. F. Baumgartner, L. M. Koch, J. M. Wolterink, I. Išgum, Y. Jang, Y. Hong, J. Patravali, S. Jain, O. Humbert, P. Jodoin: “Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?,” IEEE Transactions on Medical Imaging, vol. 37, no. 11, pp. 2514–2525, Nov. 2018.
  • S. Engelhardt, S. Sauerzapf, S. Al-Maisary, M. Karck, B. Preim, I. Wolf, R. De Simone: “Elastic Mitral Valve Silicone Replica Made from 3D-Printable Molds Offer Advanced Surgical Training,” in Bildverarbeitung für die Medizin 2018, 2018, pp. 74–79.
  • K. Kraljic, L. Strungmann, E. Fimmel, M. Gumbel: "Genetic Code Analysis Toolkit: A novel tool to explore the coding properties of the genetic code and DNA sequences", SoftwareX, Volume 7, January-June 2018, Pages 12-14, https://doi.org/10.1016/j.softx.2017.10.008
  • A. ul M. Khan, A. Torelli, I. Wolf, N. Gretz: “AutoCellSeg: robust automatic colony forming unit (CFU)/cell analysis using adaptive image segmentation and easy-to-use post-editing techniques,” Scientific Reports, vol. 8, no. 1, p. 7302, May 2018.
  • S. Engelhardt, R. De Simone, P. M. Full, M. Karck, I. Wolf: “Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries,” in Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 2018, pp. 747–755.
  • E. Fimmel, Ch.J. Michel, M. Starman and L. Strüngmann: “Self-complementary circular codes in coding theory ”, Theory in Biosciences: https://www.ncbi.nlm.nih.gov/pubmed/29532441.
  • E. Fimmel and L. Strüngmann: “Mathematical Fundamentals for the noise immunity of the Genetic Code”, Biosystems. 2018 Feb;164:186-198.
  • E. Fimmel, Ch. Michel and L. Strüngmann: “Diletter circular codes over finite alphabets”, Mathematical Biosciences 2017 Oct 10;294: pp.120-129. https://doi.org/10.1016/j.mbs.2017.10.001.
  • E. Fimmel, M. Gumbel and L. Strüngmann: “Exploring structure and evolution of the genetic code with the software tool GCAT”, Advances in Intelligent Systems and Computing Vol 658, Springer Verlag, 14-22 (2018).
  • E. Fimmel, Ch. J. Michel and L. Strüngmann: "Strong Comma-Free Codes in Genetic Information", Bulletin of Mathematical Biology, 79(8), 2017,1796-1819, DOI 10.1007/s11538-017-0307-0.
  • PA. Dias, T. Dunkel, DA. Sierra Fajado, EL. de León Gallegos, M. Denecke, P. Wiedemann, FK. Schneider and H. Suhr: "Image processing for identification and quantification of filamentous bacteria in in situ acquired images", BioMedical Engineering OnLine 15:64, DOI: 10.1186/s12938-016-0197-7 (2016).
  • F. DA. Sierra, KA. Melzak, K. Janetzko, H. Klüter, H. Suhr, K. Bieback and P. Wiedemann: "Flow morphometry to assess the red blood cell storage lesion", Cytometry A 91(9), 874-882 (2017).
  • A. Torelli, P. Erben, J. Debatin and M. Gumbel: „Proliferation and regeneration of the healthy human urothelium: a multi-scale simulation approach with 16 hypotheses of cell differentiation", submitted to Scientific Reports.