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Predicting Breast Attenuation in Patients Undergoing Myocardial Perfusion Scintigraphy: A Digital X-Ray Study.

, , , , , , , and . J. Digit. Imaging, 21 (4): 446-451 (2008)

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Predicting Breast Attenuation in Patients Undergoing Myocardial Perfusion Scintigraphy: A Digital X-Ray Study., , , , , , , and . J. Digit. Imaging, 21 (4): 446-451 (2008)Bankacılık ödeme sistemlerinde siber güvenlik farkındalığı: Türk bankacılık sektöründe farkındalığın belirleyicileri üzerine bir uygulama (Cybersecurity awareness in banking payment systems: A case study on determinants of awareness in Turkish banking sector). Marmara University, Turkey, (2023)Unsupervised Evaluation and Weighted Aggregation of Ranked Predictions., , and . CoRR, (2018)Inferring Genome-Wide Interaction Networks Using the Phi-Mixing Coefficient, and Applications to Lung and Breast Cancer., , , , , and . IEEE Trans. Mol. Biol. Multi Scale Commun., 4 (3): 123-139 (2018)A novel application of mixing coefficients for reverse-engineering gene interaction networks., , , , and . Allerton Conference, page 1461-1466. IEEE, (2012)An approach to one-bit compressed sensing based on probably approximately correct learning theory., and . CDC, page 7377-7379. IEEE, (2015)Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems., , , , and . J. Medical Syst., 45 (6): 64 (2021)R/PY-SUMMA: An R/Python Package for Unsupervised Ensemble Learning for Binary Classification Problems in Bioinformatics., , and . J. Comput. Biol., 27 (9): 1337-1340 (2020)The Lie-Group Bayesian Learning Rule., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 3331-3352. PMLR, (2023)Modelling drug response and resistance in cancer: Opportunities and challenges., , and . CDC, page 2488-2493. IEEE, (2016)