Prof. Dr. Markus Kukuk

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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

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.

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

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.

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.

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

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.

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.

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.