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A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models.

, , and . CinC, page 1-4. www.cinc.org, (2018)

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Detection of the dermis/epidermis boundary in reflectance confocal images using multi-scale classifier with adaptive texture features., , , and . ISBI, page 492-495. IEEE, (2008)Emerging medical imaging modalities.. IEEE Signal Process. Mag., 18 (6): 12-13 (2001)Can VAEs Generate Novel Examples?, , , , and . CoRR, (2018)On the Complimentarity of Sense and Grappa in Parallel MR Imaging., and . EMBC, page 755-758. IEEE, (2006)AlignGraph: A Group of Generative Models for Graphs., , and . SDM, page 271-279. SIAM, (2023)The cross-bicepstrum: properties and applications for signal reconstruction and system identification., and . ICASSP, page 3433-3436. IEEE Computer Society, (1991)Prospects for transcranial temporal interference stimulation in humans: A computational study., , , , , , and . NeuroImage, (2019)Differential Equation-Driven Regularization for Joint FMT-CT Imaging., , , and . ISBI, page 1267-1270. IEEE, (2009)Reducing Line-of-Block Artifacts in Cardiac Activation Maps Estimated Using ECG Imaging: A Comparison of Source Models and Estimation Methods., , , , , , , , , and 2 other author(s). IEEE Trans. Biomed. Eng., 69 (6): 2041-2052 (2022)Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection., , , , , , , and . CoRR, (2021)