Lehrstuhl für Informatik 5 (Mustererkennung)


Beschreibung:


Wissenschaftler und Studenten am Lehrstuhl für Mustererkennung (LME) beschäftigen sich mit der Erforschung und Realisierung von Algorithmen zur Klassifikation und Analyse von Mustern wie beispielsweise Bild- oder Sprachdaten. Die laufenden Forschungsprojekte sind überwiegend interdisziplinär und konzentrieren sich auf folgende Gebiete: Medizinische Bildverarbeitung und Anwendungen im Gesundheitswesen. Der Lehrstuhl pflegt enge nationale und internationale Kontakte zu anderen Universitäten, Forschungseinrichtungen und Industrieunternehmen.



Eine Zusammenfassung der Lehrstuhlprojekte finden Sie in unserer ausführlichen Informationsbrochure (PDF)

Adresse:
Martensstraße 3
91058 Erlangen



Untergeordnete Organisationseinheiten

Juniorprofessur für Medizinische Bildverarbeitung
Professur für Informatik (Mustererkennung)
Stiftungs-Juniorprofessur für Sportinformatik (Digital Sports) - Umwidmung / Auflösung


Forschungsbereiche

Big Data Applications
Medical Image Processing
Pattern Recognition & Machine Learning
Sprachverarbeitung und Sprachverstehen


Forschungsprojekt(e)

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(Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope):
4-D nanoSCOPE: Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope
Prof. Dr.-Ing. Andreas Maier
(01.04.2019 - 31.03.2025)


(TIME MACHINE : BIG DATA OF THE PAST FOR THE FUTURE OF EUROPE):
Time Machine: Big Data of the Past for the Future of Europe
Prof. Dr.-Ing. Andreas Maier
(01.03.2019 - 29.02.2020)


(Artificial Intelligence for Reinventing European Healthcare):
ai4euhealth: Artificial Intelligence for Reinventing European Healthcare
Prof. Dr.-Ing. Andreas Maier
(01.01.2019 - 31.12.2019)


iPV4.0: Laboranalyse von Degradationsmechanismen unter beschleunigter Alterung und Entwicklung geeigneter feldtauglicher bildgebender Detektionsverfahren und Entwicklung und Evaluation eines Algorithmus zur Fehlerdetektion und Prognostizierung der Ausfallwahrscheinlichkeit
Prof. Dr. Christoph Brabec; Prof. Dr.-Ing. Andreas Maier
(01.08.2018 - 31.07.2021)


(iPV 4.0: Intelligente vernetzte Produktion mittels Prozessrückkopplung entlang des Produktlebenszyklus von Solarmodulen):
Defektanalyse von Solarzellen
Prof. Dr.-Ing. Andreas Maier
(01.08.2018 - 31.07.2021)



Publikationen (Download BibTeX)

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Kacha, A., Grenez, F., Orozco Arroyave, J.R., & Schoentgen, J. (2020). Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech. Computer Speech and Language, 59, 114-122. https://dx.doi.org/10.1016/j.csl.2019.07.001
Meng, X., Du, Y., Wang, R., Li, Z., Zhu, S., Wu, H.,... Lu, Y. (2019). Cherenkov excited luminescence imaging induced by megavolt X-ray beams in the second near-infrared window. Optics Communications, 452, 417-421. https://dx.doi.org/10.1016/j.optcom.2019.05.017
Bergler, C., Schröter, H., Cheng, R.X., Barth, V., Weber, M., Nöth, E.,... Maier, A. (2019). ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning. Scientific Reports, 9(1). https://dx.doi.org/10.1038/s41598-019-47335-w
Bopp, J., Ludwig, V., Seifert, M., Pelzer, G., Maier, A., Anton, G., & Riess, C. (2019). Simulation study on X-ray phase contrast imaging with dual-phase gratings. International Journal of Computer Assisted Radiology and Surgery, 14(1), 3-10. https://dx.doi.org/10.1007/s11548-018-1872-x
Timotius, I., Canneva, F., Minakaki, G., Moceri, S., Plank, A.-C., Casadei, N.,... von Hörsten, S. (2019). Systematic data analysis and data mining in CatWalk gait analysis by heat mapping exemplified in rodent models for neurodegenerative diseases. Journal of Neuroscience Methods, 326. https://dx.doi.org/10.1016/j.jneumeth.2019.108367
Amrehn, M., Steidl, S., Kortekaas, R., Strumia, M., Weingarten, M., Kowarschik, M., & Maier, A. (2019). A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems. International Journal of Biomedical Imaging, 2019(2019), 1-21. https://dx.doi.org/10.1155/2019/1464592
Huang, X., Yang, H., Huang, Y., Shi, L., He, F., Maier, A., & Yan, M. (2019). Robust mixed one-bit compressive sensing. Signal Processing, 162, 161-168. https://dx.doi.org/10.1016/j.sigpro.2019.04.011
Hosokawa, K., von Latoszek, B.B., Ferrer Riesgo, C.A., Iwahashi, T., Iwahashi, M., Iwaki, S.,... Maryn, Y. (2019). Acoustic Breathiness Index for the Japanese-Speaking Population: Validation Study and Exploration of Affecting Factors. Journal of Speech Language and Hearing Research, 62(8), 2617-2631. https://dx.doi.org/10.1044/2019_JSLHR-S-19-0077
Moult, E.M., Alibhai, A.Y., Rebhun, C.B., Lee, B., Ploner, S., Schottenhamml, J.,... Fujimoto, J.G. (2019). Spatial Distribution of Choriocapillaris Impairment in Eyes with Choroidal Neovascularization Secondary to Age-Related Macular Degeneration. Retina-The Journal of Retinal and Vitreous Diseases. https://dx.doi.org/10.1097/IAE.0000000000002556
Ploner, S., Schottenhamml, J., Moult, E.M., Husvogt, L., Alibhai, A.Y., Waheed, N.K.,... Maier, A. (2019, July). Correction of artifacts from misregistered B-scans in orthogonally scanned and registered OCT angiography. Poster presentation at ARVO Annual Meeting 2019, Vancouver, B.C., Canada, CA.
Husvogt, L., Ploner, S., Moult, E.M., Alibhai, A.Y., Schottenhamml, J., Duker, J.S.,... Maier, A. (2019, July). Using Medical Image Reconstruction Methods for Denoising of OCTA Data. Poster presentation at ARVO Annual Meeting 2019, Vancouver, B.C., Canada, CA.
Lee, B., Chen, S., Moult, E.M., Alibhai, A.Y., Carrasco-Zevallos, O., Husvogt, L.,... Fujimoto, J.G. (2019, July). Ultrahigh-Resolution SD-OCT of the Human Retina with Extended Imaging Range Using Reference Arm Length Modulation. Poster presentation at ARVO Annual Meeting 2019, Vancouver, B.C., Canada, CA.
Davari, A., Özkan, H.C., Maier, A., & Rieß, C. (2019). Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2107-2120. https://dx.doi.org/10.1109 / JSTARS.2019.2916495
Bayer, S., Zhai, Z., Strumia, M., Tong, X., Gao, Y., Staring, M.,... Ravikumar, N. (2019). Registration of vascular structures using a hybrid mixture model. International Journal of Computer Assisted Radiology and Surgery, 1–10. https://dx.doi.org/10.1007/s11548-019-02007
Deitsch, S., Christlein, V., Berger, S., Buerhop-Lutz, C., Maier, A., Gallwitz, F., & Rieß, C. (2019). Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images. Solar Energy, 185, 455-468. https://dx.doi.org/10.1016/j.solener.2019.02.067
Deitsch, S., Christlein, V., Berger, S., Buerhop-Lutz, C., Maier, A., Gallwitz, F., & Riess, C. (2019). Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images. Solar Energy, 185, 455-468. https://dx.doi.org/10.1016/j.solener.2019.02.067
Felsner, L., Hu, S., Maier, A., Bopp, J., Ludwig, V., Anton, G., & Riess, C. (2019). A 3-D Projection Model for X-ray Dark-field Imaging. Scientific Reports, 9.
Kling, L., Mill, L., Grüneboom, A., Sarau, G., Herrmann, M., Schett, G.,... Christiansen, S.H. (2019). THE 4-D+ NANOSCOPE: THE RESOLUTION FOR BIOLOGICAL SAMPLES. In ANNALS OF THE RHEUMATIC DISEASES (pp. 31-31). Madrid, ES: LONDON: BMJ PUBLISHING GROUP.
Preuhs, A., Manhart, M., Hoppe, E., Kowarschik, M., & Maier, A. (2019). Motion Gradients for Epipolar Consistency. In Proceedings of the 15th International Meeting on Fully Three-Dimensional Image Reconstruction. Philadelphia, PA, US: SPIE Proceedings Vol. 11072.
Yu, Z., Xiang, Q., Meng, J., Kou, C., Ren, Q., & Lu, Y. (2019). Retinal image synthesis from multiple-landmarks input with generative adversarial networks. Biomedical Engineering Online, 18. https://dx.doi.org/10.1186/s12938-019-0682-x


Zusätzliche Publikationen (Download BibTeX)


Hariharan, S.G., Strobel, N., Kaethner, C., Kowarschik, M., Fahrig, R., & Navab, N. (2019). An analytical approach for the simulation of realistic low-dose fluoroscopic images. International Journal of Computer Assisted Radiology and Surgery, 14(4), 601-610. https://dx.doi.org/10.1007/s11548-019-01912-6
Hariharan, S.G., Kaethner, C., Strobel, N., Kowarschik, M., DiNitto, J., Albarqouni, S.,... Navab, N. (2019). Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-019-01968-4

Zuletzt aktualisiert 2019-30-07 um 16:20