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Optimizing Rectal Cancer Patient Care: Dworak TRG Prediction via Bayesian Evolutionary Fourier-Domain Random Subspace Forest.

, , , , , , , and . IEEE Trans. Instrum. Meas., (2024)

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Fractional-Order Time Series Models for Extracting the Haemodynamic Response From Functional Magnetic Resonance Imaging Data., , and . IEEE Trans. Biomed. Eng., 59 (8): 2264-2272 (2012)Influence of the type and position of the sensor on the precision of impedance glucose measurements., , , , and . I2MTC, page 1750-1754. IEEE, (2013)Evaluation of the number of PPG harmonics to assess Smartphone effectiveness., , , , and . MeMeA, page 433-438. IEEE, (2014)Measurement-driven quality assessment of nonlinear systems by exponential replacement., , and . I2MTC, page 1-5. IEEE, (2016)Fractional models for modeling complex linear systems under poor frequency resolution measurements., , , and . Digit. Signal Process., 23 (4): 1084-1093 (2013)Guest Editorial Special Issue on the 2012 IEEE International Instrumentation and Measurement Technology Conference., , and . IEEE Trans. Instrumentation and Measurement, 62 (5): 867-868 (2013)Radiomics for the prediction of the regression grade of colorectal cancer: a challenging classification problem., , , and . MeMeA, page 1-6. IEEE, (2022)Predicting the Response to Chemoradiotherapy in Rectal Cancer Patients Using Bayesian Evolutionary Random Forest and Three-Dimensional Discrete Fourier Transform., , , , and . MeMeA, page 1-5. IEEE, (2023)Optimization of Performance by Combining Most Sensitive and Specific Models in Data Science Results in Majority Voting Ensemble., , , , , and . MIE, volume 294 of Studies in Health Technology and Informatics, page 435-439. IOS Press, (2022)Functional Magnetic Resonance Imaging: An Improved Short Record Signal Model., , and . IEEE Trans. Instrumentation and Measurement, 60 (5): 1724-1731 (2011)