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Dr Joël Karel (J.M.H.)

Key publicaties
Karel, J., & Peeters, R. (2018). Orthogonal Matched Wavelets with Vanishing Moments: A Sparsity Design Approach. Circuits Systems and Signal Processing, 37(8), 3487-3514. https://doi.org/10.1007/s00034-017-0716-1
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Karel, J. M. H., Haddad, S. A. P., Hiseni, S., Westra, R. L., Serdijn, W. A., & Peeters, R. L. M. (2012). Implementing Wavelets in Continuous Time Analog Circuits with Dynamic Range Optimization. IEEE Transactions on Circuits and Systems, 59(2), 229-242. https://doi.org/10.1109/TCSI.2011.2162381
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Bonizzi, P., Karel, J. M. H., Meste, O., & Peeters, R. L. M. (2014). Singular Spectrum Decomposition: a New Method for Time Series Decomposition. Advances in Adaptive Data Analysis, 6(4), Article 1450011. https://doi.org/10.1142/S1793536914500113
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Bonizzi, P., Zeemering, S., Karel, J. M. H., Di Marco, L., Uldry, L., Van Zaen, J., Vesin, J.-M., & Schotten, U. (2015). Systematic comparison of non-invasive measures for the assessment of atrial fibrillation complexity: a step forward towards standardization of atrial fibrillation electrogram analysis. EP Europace, 17(2), 318-325. https://doi.org/10.1093/europace/euu202
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Davarzani, N., Peeters, R., Smirnov, E., Karel, J., & Brunner-la Rocca, H. (2016). Ranking Accuracy for Logistic-GEE Models. In H. Boström, A. Knobbe, C. Soares, & P. Papapetrou (Eds.), IDA 2016: Advances in Intelligent Data Analysis XV (pp. 14-25). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-46349-0_2
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Cluitmans, M., Karel, J., Bonizzi, P., Volders, P., Westra, R., & Peeters, R. (2018). Wavelet-promoted sparsity for non-invasive reconstruction of electrical activity of the heart. Medical & Biological Engineering & Computing, 56(11), 2039-2050. https://doi.org/10.1007/s11517-018-1831-2
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Davarzani, N., van Wijk, S., Karel, J., Maeder, M. T., Leibundgut, G., Gutmann, M., Pfisterer, M. E., Rickenbacher, P., Peeters, R., & Brunner-La Rocca, H. (2017). N-Terminal Pro-B-Type Natriuretic Peptide-Guided Therapy in Chronic Heart Failure Reduces Repeated Hospitalizations-Results From TIME-CHF. Journal of Cardiac Failure, 23(5), 382-389. https://doi.org/10.1016/j.cardfail.2017.02.001
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Lowet, E., Roberts, M. J., Bonizzi, P., Karel, J., & De Weerd, P. (2016). Quantifying Neural Oscillatory Synchronization: A Comparison between Spectral Coherence and Phase-Locking Value Approaches. PLOS ONE, 11(1), 1-37. Article e0146443. https://doi.org/10.1371/journal.pone.0146443
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Cluitmans, M. J. M., Bonizzi, P., Karel, J. M. H., Das, M., Kietselaer, B. L. J. H., Jong, M. M. J. D., Prinzen, F. W., Peeters, R. L. M., Westra, R. L., & Volders, P. G. A. (2017). In Vivo Validation of Electrocardiographic Imaging. JACC: Clinical Electrophysiology, 3(3), 232 - 242. https://doi.org/10.1016/j.jacep.2016.11.012
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Bonizzi, P., Meste, O., Zeemering, S., Karel, J., Lankveld, T., Crijns, H., Schotten, U., & Peeters, R. (2020). A novel framework for noninvasive analysis of short-term atrial activity dynamics during persistent atrial fibrillation. Medical & Biological Engineering & Computing, 58(9), 1933-1945. https://doi.org/10.1007/s11517-020-02190-0
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Recente publicaties
  • Yozkan, E., Hortal, E., Karel, J., Janssen, M., Vossen, C., & Gommer, E. (2024). Prediction of Burst Suppression Occurrence Under General Anaesthesia Using Pre-operative EEG Signals. In Artificial Intelligence for Neuroscience and Emotional Systems: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation (pp. 203-212). Springer Nature. https://doi.org/10.1007/978-3-031-61140-7_20
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  • Boussé, M., Dreesen, P., Bonizzi, P., Karel, J., & Peeters, R. (2024). Dealing with incomplete data: A matrix completion-based approach for recurrence plots constructed from incomplete time series. Abstract from 43rd Benelux Meeting on Systems and Control, Blankenberge, Belgium.
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  • Laguarta, P., Van der laag, R., Lopez, M., Dooney, T., Miller, A. L., Schmidt, S., Cavaglia, M., Caudill, S., Driessens, K., Karel, J., Lenders, R., & Van den broeck, C. (2024). Detection of anomalies amongst LIGO’s glitch populations with autoencoders. Classical and Quantum Gravity, 41(5), Article 055004. https://doi.org/10.1088/1361-6382/ad1f26
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  • Lu, C., Donners, M. M. P. C., de Baaij, J. B. J., Jin, H., Otten, J. J. T., Manca, M., van Zonneveld, A. J., Jukema, J. W., Kraaijeveld, A., Kuiper, J., Pasterkamp, G., Mees, B., Sluimer, J. C., Cavill, R., Karel, J. M. H., Goossens, P., & Biessen, E. A. L. (2024). Identification of a gene network driving the attenuated response to lipopolysaccharide of monocytes from hypertensive coronary artery disease patients. Frontiers in Immunology, 15, Article 1286382. https://doi.org/10.3389/fimmu.2024.1286382
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  • Wang, T., Karel, J., Invers-Rubio, E., Hernández-Romero, I., Peeters, R., Bonizzi, P., & Guillem, M. S. (2024). Standardized 2D atrial mapping and its clinical applications. Computers in Biology and Medicine, 168, Article 107755. https://doi.org/10.1016/j.compbiomed.2023.107755
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  • Rehburg, F., Peeters, R., Wang, T., van Dam, P. M., Bonizzi, P., & Karel, J. (2023). Reconstruction of electrograms using a deep learning network trained on simulation data. Abstract from Electrocardiographic Imaging Summit 2023, Valencia, Spain.
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  • Lu, C., Donners, M. M. P. C., Karel, J., de Boer, H., van Zonneveld, A. J., den Ruijter, H., Jukema, J. W., Kraaijeveld, A., Kuiper, J., Pasterkamp, G., Cavill, R., Perales-Patón, J., Ferrannini, E., Goossens, P., & Biessen, E. A. L. (2023). Sex-specific differences in cytokine signaling pathways in circulating monocytes of cardiovascular disease patients. Atherosclerosis, 384, Article 117123. https://doi.org/10.1016/j.atherosclerosis.2023.04.005
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  • Boussé, M., Dreesen, P., Bonizzi, P., Karel, J., & Peeters, R. (2023). Dealing with incomplete data: A structured tensor-completion approach for recurrence plots. Abstract from 10th International Symposium on Recurrence Plots, Tsukuba, Japan.
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  • Maas, S., Jin, H., Lu, C., Nagenborg, J., Manca, M., Karel, J., Cavill, R., Sikkink, C., Yu, B., Nadeau, S., Dos Santos, J., Gijbels, M., Mees, B., Smirnov, E., Sluimer, J., Martins, G., Van der Vorst, E., & Biessen, E. (2023). Identification Of A Prdm1-Regulated T-Cell Network Which Controls T-Cell Driven Plaque Inflammation In Human And Mouse Atherosclerosis. Atherosclerosis, 379(S1), S11-S11. https://doi.org/10.1016/j.atherosclerosis.2023.06.914
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  • Boussé, M., Dreesen, P., Bonizzi, P., Karel, J., & Peeters, R. (2023). Time-Series Analysis Using Third-Order Recurrence Plots. Abstract from 42nd Benelux Meeting on Systems and Control, Elspeet, Netherlands.
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Ga naar alle publicaties
https://www.researchgate.net/profile/Joel_Karel