@article{KarmonikStrotherChenetal., author = {Karmonik, C. and Strother, C. M. and Chen, X. and Deinzer, Frank and Klucznick, R. and Mawad, M. E.}, title = {Stent-Assisted Coiling of Intracranial Aneurysms Aided by Virtual Parent Artery Reconstruction}, series = {AJNR American Journal of Neuroradiology}, volume = {26}, journal = {AJNR American Journal of Neuroradiology}, number = {6}, pages = {2368 -- 2370}, language = {en} } @inproceedings{DeinzerDenzlerDerichsetal., author = {Deinzer, Frank and Denzler, Joachim and Derichs, Christia and Niemann, Heinrich}, title = {Aspects of Optimal Viewpoint Selection and Viewpoint Fusion}, series = {Computer Vision - ACCV 2006}, volume = {3852}, booktitle = {Computer Vision - ACCV 2006}, editor = {Narayanan, P.J. and Nayar, Shree K. and Shum, Heung-Yeung}, isbn = {3-540-31244-7}, pages = {902 -- 912}, language = {en} } @inproceedings{DeinzerDerichsDenzleretal., author = {Deinzer, Frank and Derichs, Christian and Denzler, Joachim and Niemann, Heinrich}, title = {Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition}, series = {British Machine Vision Conference 2006}, booktitle = {British Machine Vision Conference 2006}, pages = {287 -- 296}, language = {en} } @inproceedings{FeldmannBouattourPaulusetal., author = {Feldmann, Tobias and Bouattour, Sahla and Paulus, Dietrich and Deinzer, Frank}, title = {Kombination verschiedener {\"A}hnlichkeitsmaße f{\"u}r die 2D/3D-Registrierung von R{\"o}ntgenbildern mittels Demokratischer Integration}, series = {Bildverarbeitung f{\"u}r die Medizin 2006, Algorithmen - Systeme - Anwendungen}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2006, Algorithmen - Systeme - Anwendungen}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-540-32136-1}, doi = {10.1007/3-540-32137-3_46}, pages = {226 -- 230}, abstract = {F{\"u}r die 2D/3D-Registrierung von Bilddatens{\"a}tzen eines Patienten werden verschiedene intensit{\"a}tsbasierte {\"A}hnlichkeitsmaße eingesetzt. Diese haben den Nachteil, dass sie nur auf bestimmten Bilddaten gute Ergebnisse liefern und zus{\"a}tzlich heuristisch parameterisiert werden m{\"u}ssen. In diesem Beitrag wird ein neues Verfahren vorgestellt, dass beliebig viele {\"A}hnlichkeitsmaße integriert und automatisch das f{\"u}r den jeweiligen Bilddatensatz geeignetste am h{\"o}chsten gewichtet. Dazu werden die freien Parameter der Maße an das Bildmaterial automatisch adaptiert. Unsere Experimente belegen die Wirksamkeit der Methode.}, language = {de} } @article{BernhardtLendlDeinzer, author = {Bernhardt, Philipp and Lendl, Markus and Deinzer, Frank}, title = {New Technologies to Reduce Pediatric Radiation Doses}, series = {Pediatric Radiology}, volume = {36}, journal = {Pediatric Radiology}, number = {Supplement 1}, doi = {10.1007/s00247-006-0212-4}, pages = {212 -- 215}, language = {en} } @article{KubiasDeinzerFeldmannetal., author = {Kubias, Alexander and Deinzer, Frank and Feldmann, Tobias and Paulus, Dietrich and Schreiber, Bernd and Brunner, Thomas}, title = {2D/3D Image Registration on the GPU}, series = {Pattern Recognition and Image Analysis}, volume = {18}, journal = {Pattern Recognition and Image Analysis}, number = {3}, doi = {10.1134/S1054661808030048}, pages = {381 -- 389}, language = {en} } @inproceedings{FieselmannLautenschlaegerDeinzeretal., author = {Fieselmann, Andreas and Lautenschl{\"a}ger, Stefan and Deinzer, Frank and John, Matthias and Poppe, Bj{\"o}rn}, title = {Automated 3D Segmentation of the Esophagus For Planning of Atrial Ablation Therapy}, series = {39. Wissenschaftliche Jahrestagung der DGMP in Oldenburg}, booktitle = {39. Wissenschaftliche Jahrestagung der DGMP in Oldenburg}, language = {en} } @inproceedings{FieselmannLautenschlaegerDeinzeretal., author = {Fieselmann, Andreas and Lautenschl{\"a}ger, Stefan and Deinzer, Frank and Poppe, Bj{\"o}rn}, title = {Automatic Detection of Air Holes Inside the Esophagus in CT Images}, series = {Bildverarbeitung f{\"u}r die Medizin 2008, Algorithmen - Systeme - Anwendungen}, booktitle = {Bildverarbeitung f{\"u}r die Medizin 2008, Algorithmen - Systeme - Anwendungen}, pages = {397 -- 401}, language = {en} } @article{FieselmannLautenschlaegerDeinzeretal., author = {Fieselmann, Andreas and Lautenschl{\"a}ger, Stefan and Deinzer, Frank and John, Matthias and Poppe, Bj{\"o}rn}, title = {Esophagus Segmentation by Spatially-Constrained Shape Interpolation}, series = {Bildverarbeitung f{\"u}r die Medizin 2008, Algorithmen - Systeme - Anwendungen}, journal = {Bildverarbeitung f{\"u}r die Medizin 2008, Algorithmen - Systeme - Anwendungen}, pages = {247 -- 251}, language = {en} } @article{PlatzerDeinzerPaulusetal., author = {Platzer, Esther and Deinzer, Frank and Paulus, Dietrich and Denzler, Joachim}, title = {3D Blood Flow Visualization from 2D Angiograms}, series = {Bildverarbeitung f{\"u}r die Medizin 2008, Algorithmen - Systeme - Anwendungen}, journal = {Bildverarbeitung f{\"u}r die Medizin 2008, Algorithmen - Systeme - Anwendungen}, pages = {288 -- 292}, language = {en} } @inproceedings{KubiasDeinzerFeldmannetal., author = {Kubias, Alexander and Deinzer, Frank and Feldmann, Tobias and Paulus, Dietrich and Schreiber, Bernd and Brunner, Thomas}, title = {2D/3D Image Registration on the GPU}, series = {Proceedings of the 7th Open German/Russian Workshop on Pattern Recognition and Image Understanding}, booktitle = {Proceedings of the 7th Open German/Russian Workshop on Pattern Recognition and Image Understanding}, language = {en} } @inproceedings{KubiasDeinzerFeldmannetal., author = {Kubias, Alexander and Deinzer, Frank and Feldmann, Tobias and Paulus, Dietrich}, title = {Extended Global Optimization Strategy for Rigid 2D/3D Image Registration}, series = {Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007}, volume = {4673}, booktitle = {Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007}, pages = {759 -- 767}, language = {en} } @inproceedings{KubiasDeinzerKreiseretal., author = {Kubias, Alexander and Deinzer, Frank and Kreiser, Matthias and Paulus, Dietrich}, title = {Efficient Computation of Histograms on the GPU}, series = {23rd Spring Conference on Computer Graphics}, booktitle = {23rd Spring Conference on Computer Graphics}, language = {en} } @article{WernerBullmannFetzeretal., author = {Werner, Max and Bullmann, Markus and Fetzer, Toni and Deinzer, Frank}, title = {Unified Probabilistic and Similarity-Based Position Estimation from Radio Observations}, series = {Sensors}, volume = {25}, journal = {Sensors}, number = {13}, publisher = {MDPI AG}, issn = {1424-8220}, doi = {https://doi.org/10.3390/s25134092}, abstract = {We propose a modeling approach for position estimation based on the observed radio propagation in an environment. The approach is purely similarity-based and therefore free of explicit physical assumptions. What distinguishes it from classical related methods are probabilistic position estimates. Instead of just providing a point estimate for a given signal sequence, our model returns the distribution of possible positions as continuous probability density function, which allows for appropriate integration into recursive state estimation systems. The estimation procedure starts by using a kernel to compare incoming data with reference recordings from known positions. Based on the obtained similarities, weights are assigned to the reference positions. An arbitrarily chosen density estimation method is then applied given this assignment. Thus, a continuous representation of the distribution of possible positions in the environment is provided. We apply the solution in a Particle Filter (PF) system for smartphone-based indoor localization. The approach is tested both with radio signal strength (RSS) measurements (Wi-Fi and Bluetooth Low Energy RSSI) and round-trip time (RTT) measurements, given by Wi-Fi Fine Timing Measurement. Compared to distance-based models, which are dedicated to the specific physical properties of each measurement type, our similarity-based model achieved overall higher accuracy at tracking pedestrians under realistic conditions. Since it does not explicitly consider the physics of radio propagation, the proposed model has also been shown to work flexibly with either RSS or RTT observations.}, language = {en} } @inproceedings{WernerBullmannFetzeretal., author = {Werner, Max and Bullmann, Markus and Fetzer, Toni and Meißner, Pascal and Deinzer, Frank}, title = {Interpolation of Position Estimates for Radio Fingerprinting using Gaussian Process Regression}, series = {2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)}, booktitle = {2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)}, publisher = {IEEE}, doi = {10.1109/IPIN66788.2025.11213294}, pages = {1 -- 6}, language = {en} } @inproceedings{KoepingMuehsamOfenbergetal., author = {K{\"o}ping, Lukas and M{\"u}hsam, Thomas and Ofenberg, Christian and Czech, Bernhard and Bernard, Michael and Schmer, Jens and Deinzer, Frank}, title = {Indoor Naviagtion Using Step and Turn Detection Together With Floor Map Information}, series = {Proceedings of the 1st International Workshop on Uncertainty in Ambient Intelligence}, booktitle = {Proceedings of the 1st International Workshop on Uncertainty in Ambient Intelligence}, language = {en} } @inproceedings{HuffstadtFetzerPetryetal., author = {Huffstadt, Karsten and Fetzer, Toni and Petry, Christian and Deinzer, Frank}, title = {3D Interaction Design: Increasing the stimulus-response correspondence by using stereoscopic vision}, series = {Proceedings of the 11th IEEE International Conference on Automatic Face and Gesture Recognition Conference and Workshops}, volume = {1}, booktitle = {Proceedings of the 11th IEEE International Conference on Automatic Face and Gesture Recognition Conference and Workshops}, doi = {10.1109/FG.2015.7163120}, pages = {1 -- 6}, abstract = {This paper presents a hand-based interaction approach for grabbing and manipulating virtual objects within immersive virtual environments. Considering the stimulus-response of humans, interacting with objects is easier if depth information is provided by stereoscopic vision. However, most people are used to work in monoscopic virtual environments. Therefore, we propose a case study, to analyze if an interaction approach using stereoscopic vision, compared to a conventional monoscopic vision, results in a higher user acceptance and stimulus-response correspondence. Our interaction approach is based on a robust and fast running 3D hand- and head-tracking provided by Microsoft's Kinect. We present a simple non-collision-based method for grabbing and manipulating objects within a 3D virtual environment. By tracking the head, the user is able to move within the environment and interact depending on his current position. The use of stereoscopic vision allows a natural and instinctive hand interaction with the augmented object. Finally, the experimental results and studies show how the use of stereoscopic vision improves the mental mapping and thus the user acceptance and stimulus-response correspondence in consideration of using the here presented interaction approach.}, language = {en} } @inproceedings{FetzerEbnerKoepingetal., author = {Fetzer, T. and Ebner, F. and K{\"o}ping, L. and Grzegorzek, M. and Deinzer, Frank}, title = {Recovering From Sample Impoverishment in Context of Indoor Localisation}, series = {International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017)}, booktitle = {International Conference on Indoor Positioning and Indoor Navigation (IPIN 2017)}, pages = {1 -- 8}, language = {en} } @inproceedings{KoepingGrzegorzekDeinzeretal., author = {K{\"o}ping, Lukas and Grzegorzek, Marcin and Deinzer, Frank and Bobek, Szymon and Slazynski, Mateusz and Nalepa, Grzegorz}, title = {Improving indoor localization by user feedback}, series = {18th International Conference on Information Fusion (Fusion)}, booktitle = {18th International Conference on Information Fusion (Fusion)}, pages = {1053 -- 1060}, language = {en} } @inproceedings{EbnerFetzerDeinzeretal., author = {Ebner, F. and Fetzer, T. and Deinzer, Frank and Grzegorzek, M.}, title = {On Prior Navigation Knowledge in Multi Sensor Indoor Localisation}, series = {International Conference on Information Fusion (FUSION 2016)}, booktitle = {International Conference on Information Fusion (FUSION 2016)}, language = {en} } @inproceedings{FetzerEbnerKoepingetal., author = {Fetzer, T. and Ebner, F. and K{\"o}ping, L. and Grzegorzek, M. and Deinzer, Frank}, title = {On Monte Carlo Smoothing in Multi Sensor Indoor Localisation}, series = {International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016)}, booktitle = {International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016)}, language = {en} } @article{EbnerFetzerBullmannetal., author = {Ebner, Markus and Fetzer, Toni and Bullmann, Markus and Deinzer, Frank and Grzegorzek, Marcin}, title = {Recognition of Typical Locomotion Activities Based on the Sensor Data of a Smartphone in Pocket or Hand}, series = {Sensors}, volume = {20}, journal = {Sensors}, number = {22}, issn = {1424-8220}, doi = {10.3390/s20226559}, language = {en} } @inproceedings{FetzerDeinzerKopingetal., author = {Fetzer, Toni and Deinzer, Frank and Koping, Lukas and Grzegorzek, Marcin}, title = {Statistical indoor localization using fusion of depth-images and step detection}, series = {International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014)}, booktitle = {International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014)}, doi = {10.1109/IPIN.2014.7275509}, pages = {407 -- 415}, language = {en} } @article{DeinzerFetzer, author = {Deinzer, Frank and Fetzer, Toni}, title = {Die Mischung macht's: Mit KI und Augmented Reality die Welt immersiv erkunden}, series = {Transfer - Das Steinbeis-Magazin}, volume = {2021}, journal = {Transfer - Das Steinbeis-Magazin}, number = {3}, pages = {39 -- 41}, language = {de} } @article{PrappacherBullmannBohnetal., author = {Prappacher, Nico and Bullmann, Markus and Bohn, Gunther and Deinzer, Frank and Linke, Andreas}, title = {Defect Detection on Rolling Element Surface Scans Using Neural Image Segmentation}, series = {Applied Sciences}, volume = {10}, journal = {Applied Sciences}, number = {9}, issn = {2076-3417}, doi = {10.3390/app10093290}, language = {en} }