Biblio

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A
Adomeit, S., Berlin C., Grover P., Dreischarf M., Halm H., Dürr O., et al. (2022).  Validation study of an algorithm based on artificial intelligence for automated computation of coronal parameters on preoperative AP X-rays. Brain and Spine. 2, 101156.
B
Bohnet, D., & Vartziotis D. (2016).  Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen. Die Basis der Vielfalt - 10. Tagung der DGfGG.
D
Danhof, M., Schneider T., Laube P., & Umlauf G. (2015).  A Virtual-Reality 3d-Laser-Scan Simulation. BW-CAR| SINCOM. 68.
F
Franz, M. O., Hengstenberg R., & Krapp H. G. (1998).  VS-neurons as matched filters for self-motion-induced optic flow fields. (Elsner, N., & Wehner R., Ed.).{New Neuroethology on the Move}. II, 419.
Franz, M. O. (2011).  Volterra and Wiener series. Scholarpedia. 6, 11307.
G
Griesser, D., Umlauf G., & Franz M. O. (2023).  Visual Pitch and Roll Estimation For Inland Water Vessels. IEEE International Conference on Robotics and Automation (ICRA). 1961-1967.
L
Lehner, B., Umlauf G., & Hamann B. (2008).  Video compression using data-dependent triangulations. (Xiao, Y., & E. Thij ten., Ed.).Computer Graphics and Visualization '08. PDF icon VideoComprTriang.pdf (177.45 KB)
M
Mallot, H. A., Franz M. O., Schölkopf B., & Bülthoff H. H. (1997).  The view-graph approach to visual navigation and spatial memory. (Gerstner, W., Germond A., Hasler M., & Nicoud J.-D., Ed.).{Proc. of the 7th Intl. Conf. on Artificial Neural Networks (ICANN 97)}. 1327, 751 – 756.PDF icon Mallot et al._1997_The view-graph approach to visual navigation and spatial memory.pdf (212.16 KB)
S
Schall, M., Sacha D., Stein M., Franz M. O., & Keim D. A. (2018).  Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition. Visualization in Data Science (VDS at IEEE VIS) 2018. PDF icon Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.pdf (1.03 MB)
Y
Yovel, Y., Melcón M. L., Franz M. O., Denzinger A., & Schnitzler H.-U. (2009).  The voice of bats: how greater mouse-eared bats recognize individuals based on their echolocation calls. PLoS Comput. Biol.. 5, e1000400:10.1371/journal.pcbi.1000400.PDF icon Yovel et al._2009_The voice of bats how greater mouse-eared bats recognize individuals based on their echolocation calls.pdf (458.53 KB)