Prof. Dr.-Ing. Joachim Hornegger



Organisationseinheit


Lehrstuhl für Informatik 5 (Mustererkennung)


Preise / Auszeichnungen


2016 : Mitgliedschaft acatech - Deutsche Akademie der Technikwissenschaften



Projektleitung


Open Access Publizieren
Prof. Dr.-Ing. Joachim Hornegger
(01.01.2010 - 31.12.2019)


Mitarbeit in Forschungsprojekten


GRK 1773: Heterogene Bildsysteme
Prof. Dr. Marc Stamminger
(01.10.2012 - 31.03.2017)

miLife - eine innovative Wearable Computing Plattform zur Datenanalyse von in Kleidung integrierten Sensoren für den Einsatz in Teamsport und Gesundheit
Prof. Dr. Björn Eskofier
(01.08.2011 - 31.10.2014)


Publikationen (Download BibTeX)

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Neumann, D., Mansi, T., Itu, L., Georgescu, B., Kayvanpour, E., Sedaghat-Hamedani, F.,... Comaniciu, D. (2016). A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization. Medical Image Analysis, N/A(0), N/A. https://dx.doi.org/10.1016/j.media.2016.04.003
Novais, E.A., Adhi, M., Moult, E.M., Louzada, R.N., Cole, E.D., Husvogt, L.,... Waheed, N.K. (2016). Choroidal Neovascularization Analyzed on Ultrahigh-Speed Swept-Source Optical Coherence Tomography Angiography Compared to Spectral-Domain Optical Coherence Tomography Angiography. American Journal of Ophthalmology, 164, 80-88. https://dx.doi.org/10.1016/j.ajo.2016.01.011
Hoffmann, M., Kowalewski, C., Maier, A., Kurzidim, K., Strobel, N., & Hornegger, J. (2016). Contrast-based 3D/2D registration of the left atrium: Fast versus consistent. International Journal of Biomedical Imaging, 2016. https://dx.doi.org/10.1155/2016/7690391
Hoffmann, M., Strobel, N., Hornegger, J., & Maier, A. (2016). Contrast-Based Registration Of Left Atria To Fluoroscopic Image Sequences By Temporal Markow Filtering And Motion Regularization. In Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. n/a). Prague.
Taubmann, O., Maier, A., Hornegger, J., Lauritsch, G., & Fahrig, R. (2016). Coping with Real World Data: Artifact Reduction and Denoising for Motion-Compensated Cardiac C-arm CT. Medical Physics, 43(2), 883-893. https://dx.doi.org/10.1118/1.4939878
Giacomelli, M., Yoshitake, T., Husvogt, L., Cahill, L., Ahsen, O., Vardeh, H.,... Fujimoto, J.G. (2016). Design of a portable wide field of view GPU-accelerated multiphoton imaging system for real-time imaging of breast surgical specimens. In Multiphoton Microscopy in the Biomedical Sciences XVI (pp. 0-0). San-Francisco, CA, US: SPIE.
Yu, Z., Lauritsch, G., Dennerlein, F., Mao, Y., Hornegger, J., & Noo, F. (2016). Extended ellipse-line-ellipse trajectory for long-object cone-beam imaging with a mounted C-arm system. Physics in Medicine and Biology, 61(4), 1829-1851. https://dx.doi.org/10.1088/0031-9155/61/4/1829
Yu, Z., Maier, A.-K., Lauritsch, G., Vogt, F., Schonborn, M., Kohler, C.,... Noo, F. (2016). Image quality assessment for extended-volume C-arm CT using a multi-turn reverse helix. Institute of Electrical and Electronics Engineers Inc..
Rausch, J., Maier, A., Fahrig, R., Choi, J.-H., Hinshaw, W., Schebesch, F.,... Riess, C. (2016). Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems. International Journal of Biomedical Imaging, 2016, 2502486:1-15. https://dx.doi.org/10.1155/2016/2502486
Ghesu, F.C., Krubasik, E., Georgescu, B., Singh, V., Zheng, Y., Hornegger, J., & Comaniciu, D. (2016). Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Transactions on Medical Imaging, 35(5), 1217-1228. https://dx.doi.org/10.1109/TMI.2016.2538802

Zuletzt aktualisiert 2016-05-05 um 05:15