Publikationen

Prof. Dr. Jens Bliedtner
Bliedtner, J.; Fähnle, O.; Henkel, S.; Schulze, C.; Frank, S. (2024): New polishing concepts for optical components in flexible and efficient process chains. In: EPJ Web of Conferences Vol. 309, 03002, Neapel (IT): EOSAM 2024, DOI: https://doi.org/10.1051/epjconf/202430903002

Schulze, C.; Henkel, S.; Schultheiß, D.; Pipiorka, D.; Bliedtner, J.; Kerber, A.; Rädlein, E. (2024): Additive manufactured cerium oxide foils, used as pads for polishing processes of brittle-hard materials. In: EPJ Web of Conferences Vol. 309, 03004, Neapel (IT): EOSAM 2024, DOI: https://doi.org/10.1051/epjconf/202430903004
Prof. Dr. Robert Brunner
Kobylinskiy, A., Uwurukundo, X., Hillmer, H., & Brunner, R. (2024). Tailored detection efficiency for linear variable filter-based sensors: applying simulation models of spectral characteristics in optical design. Journal of the Optical Society of America A, 41(11), 1573-1580. https://doi.org/10.1364/JOSAA.529080

Knoblich, M., Uwurukundo, X., Stumpf, D., Kraus, M., Hillmer, H., & Brunner, R. (2023). Annular Gray Tone Lithography for the Fabrication of Rotationally Symmetric Continuous Relief Meso- and Microscale Optical Elements. Photonics, 10(9), 1000. https://doi.org/10.3390/photonics10091000
Prof. Dr. Iwan Schie
Latka, I., Mogensen, K., Knorr, F., Kuzucu, C., Windirsch, F., Sandic, D., Popp, J., Hermann, G.G., & Schie, I.W. (2024). Raman Spectroscopy for Instant Bladder Tumor Diagnosis: System Development and In Vivo Proof-Of-Principle Study in Accordance with the European Medical Device Regulation (MDR2017/745). Cancers, 16(18), 3238. https://doi.org/10.3390/cancers16183238

Vasquez, D.L.; Kreft, C.; Latka, I.; Popp, J.; Mantke, R.; Schie, I.W. Colon Tumor Discrimination Combining Independent Endoscopic Probe-Based Raman Spectroscopy and Optical Coherence Tomography Modalities with Bayes Rule. Int. J. Mol. Sci. 2024, 25, 13306. https://doi.org/10.3390/ijms252413306
Prof. Dr. Dirk Schmalzried
Schmalzried, D., Hurst, M., Wentzien, M., & Zander, J. (2023). Analyse der Rolle Künstlicher Intelligenz für eine menschenzentrierte Industrie 5.0. HMD Praxis der Wirtschaftsinformatik, 60(7), 1143–1155. https://doi.org/10.1365/s40702-023-01001-y

Schmalzried, D., Hurst, M., Zander, J., & Wentzien, M. (2023). Ordnungsrahmen für Anwendungen der Künstlichen Intelligenz im Industrie 4.0-Kontext. Industrie 4.0 Management, 39(3), 28-33. https://doi.org/10.30844/IM_23-3_28-33

Vasquez, D.L.; Kreft, C.; Latka, I.; Popp, J.; Mantke, R.; Schie, I.W. Colon Tumor Discrimination Combining Independent Endoscopic Probe-Based Raman Spectroscopy and Optical Coherence Tomography Modalities with Bayes Rule. Int. J. Mol. Sci. 2024, 25, 13306. https://doi.org/10.3390/ijms252413306 alle Publikationen von Prof. Schmalzried sind hier zu finden: Dirk Schmalzried (researchgate.net)