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Prof. Dr. Markus Kukuk

Schnelle Fakten

Publikationen

Sammelbandbeitrag

  • N. Spicher, T. Lovelace, and M. Kukuk, “Feasibility of photoplethysmography imaging of the sole of the foot,” in 2018 IEEE International Symposium on Medical Measurements and Applications : June 11-13, 2018 : Rome : 2018 symposium proceedings, Piscataway, NJ: IEEE, 2018, pp. 1–6.
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  • N. Spicher, S. Orzada, and M. Kukuk, “An open-source hardware and software system for video-gated MRI,” in ISMRM 25th annual ISMRM meeting & exhibition, 22-27 April 2017 : SMRT annual meeting, 22-24 April 2017, Honolulu, HI, USA, Red Hook, NY: Curran Associates, Inc., 2017, p. ohne Seitenangabe-ohne Seitenangabe.
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  • N. Spicher, S. Orzada, and M. Kukuk, “On the importance of skin color phase variations for video measurement of cardiac activity in MRI,” in ISMRM 25th annual ISMRM meeting & exhibition, 22-27 April 2017 : SMRT annual meeting, 22-24 April 2017, Honolulu, HI, USA, Red Hook, NY: Curran Associates, Inc., 2017, p. ohne Seitenangabe-ohne Seitenangabe.
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  • A. Kruder, T. Rempel, N. Spicher, and M. Kukuk, “Facial nerve paresis: a real-time digital biofeedback mirror as therapeutic exercise tool using phase based video motion processing,” in Schriftenreihe des Fachbereichs Informatik der Fachhochschule Dortmund/Band 3, Hamburg: tredition, 2017, pp. 77–86.
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Konferenzpaper

  • N. Spicher and M. Kukuk, “Zuckerwatte (zcwt): An open-source C++ library for standardizing computation and post-processing of the continuous wavelet transform,” in 12th International Symposium on Image and Signal Processing and Analysis, 2021, pp. 41–46.
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  • R. Leeker, N. Spicher, and M. Kukuk, “An Accurate and Efficient Zero-Crossing Line Classifier for Multiscale Parameter Estimation of Gaussian Signals Subject to Noise,” in 2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), 2021, pp. 36–40.
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  • N. Spicher and M. Kukuk, “ECG delineation using a piecewise Gaussian derivative model with parameters estimated from scale-dependent algebraic expressions,” in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, pp. 5633–5637.
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  • N. Spicher, S. Orzada, S. Maderwald, M. E. Ladd, and M. Kukuk, “A novel method for video-based cardiac gating in 7T MR angiography using a video of the foot,” in Joint Annual Meeting ISMRM - ESMRMB, 2018.
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  • N. Spicher, S. Maderwald, M. E. Ladd, and M. Kukuk, “High-speed, contact-free measurement of the photoplethysmography waveform for MRI triggering,” in ISMRM 24th Annual Meeting & Exhibition, 2016.
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  • N. Spicher, M. Kukuk, M. E. Ladd, and S. Maderwald, “In vivo 7T MR imaging triggered by phase information obtained from video signals of the human skin,” in ISMRM 23rd Annual Meeting & Exhibition, 2015.
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  • N. Spicher, C. Brumann, M. Kukuk, M. E. Ladd, and S. Maderwald, “Eulerian Video Magnification for Heart Pulse Measurements in MRI Scanners,” in Joint Annual Meeting of the ISMRM - ESMRMB, 2014.
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Konferenzposter

  • D. Sauter, G. Lodde, F. Nensa, D. Schadendorf, E. Livingstone, and M. Kukuk, “Konzept-basierte Erklärung neuronaler Netze für die Dermatohistopathologie (eP077),” in Journal der Deutschen Dermatologischen Gesellschaft, 2022, vol. 20, no. S3, pp. 68–68 [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/ddg.14901
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Journalartikel

  • D. Sauter, G. Lodde, F. Nensa, D. Schadendorf, E. Livingstone, and M. Kukuk, “A Systematic Comparison of Task Adaptation Techniques for Digital Histopathology,” Bioengineering, vol. 11, no. 1, pp. 19–19, 2024 [Online]. Available: https://www.mdpi.com/2306-5354/11/1/19
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  • D. Sauter, G. Lodde, F. Nensa, D. Schadendorf, E. Livingstone, and M. Kukuk, “Deep learning in computational dermatopathology of melanoma: A technical systematic literature review,” Computers in Biology and Medicine, vol. 163, pp. 107083–107083, 2023 [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0010482523005486
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  • C. Brumann and M. Kukuk, “Evolution based single camera resectioning based on distance maps of a known geometry for Squash sports,” IEEE access : practical research, open solutions, pp. 58136–58150, 2022.
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  • D. Sauter, G. Lodde, F. Nensa, D. Schadendorf, E. Livingstone, and M. Kukuk, “Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology,” Sensors, vol. 22, no. 14, 2022 [Online]. Available: https://www.mdpi.com/1424-8220/22/14/5346
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  • C. Brumann, M. Kukuk, and C. Reinsberger, “Evaluation of open-source and pre-trained deep convolutional neural networks suitable for player detection and motion analysis in squash,” Sensors, vol. 2021, no. 21(13), pp. 1–25, 2021.
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  • N. Spicher and M. Kukuk, “Delineation of Electrocardiograms Using Multiscale Parameter Estimation,” IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 8, pp. 2216–2229, 2020.
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  • N. Spicher, M. Kukuk, S. Maderwald, and M. E. Ladd, “Multiscale Parameter Estimation (msPE) of QRS complexes distorted by magnetohydrodynamic effects at 7 Tesla,” Current Directions in Biomedical Engineering, vol. 5, no. 1, pp. 365–368, 2019 [Online]. Available: https://doi.org/10.1515/cdbme-2019-0092
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  • M. Kukuk and N. Spicher, “Parameter estimation based on scale-dependent algebraic expressions and scale-space fitting,” IEEE transactions on signal processing : SP ; a publication of the IEEE Signal Processing Society, vol. 67 (2018), no. 6, pp. 1431–1446, 2018.
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  • N. Spicher, M. Kukuk, S. Maderwald, and M. E. Ladd, “Initial evaluation of prospective cardiac triggering using photoplethysmography signals recorded with a video camera compared to pulse oximetry and electrocardiography at 7T MRI,” BioMedical Engineering OnLine, vol. 15, no. 1, pp. 126–126, 2016.
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  • N. Spicher, S. Maderwald, and M. Kukuk, “Heart rate monitoring in ultra-high-field MRI using frequency information obtained from video signals of the human skin compared to electrocardiography and pulse oximetry,” Current directions in biomedical engineering, no. 1, pp. 69–72, 2015.
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