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GANs for Medical Image Synthesis: An Empirical Study., , и . CoRR, (2021)Semi-automated labelling of medical images: benefits of a collaborative work in the evaluation of prostate cancer in MRI., , , , и . CoRR, (2017)Markovian method for 2D, 3D and 4D segmentation of MRI., , , , и . ICIP, стр. 3012-3015. IEEE, (2008)Segmentation-Free Estimation of Aortic Diameters from MRI Using Deep Learning., , , и . M&Ms and EMIDEC/STACOM@MICCAI, том 12592 из Lecture Notes in Computer Science, стр. 166-174. Springer, (2020)Automatic classification of tissues using T1 and T2 relaxation times from prostate MRI: A step towards generation of PET/MR attenuation map., , , и . ICIP, стр. 1185-1189. IEEE, (2015)Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI., , , , , , , , и . Comput. Medical Imaging Graph., (2022)Comparison of CNN Fusion Strategies for Left Ventricle Segmentation from Multi-modal MRI., , , и . FIMH, том 13958 из Lecture Notes in Computer Science, стр. 265-273. Springer, (2023)A 4D Patient-Specific Modelling of the Thoracic Aorta from Cine-MR Images., , , , , и . SITIS, стр. 269-276. IEEE Computer Society, (2011)Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , и 23 other автор(ы). Medical Image Anal., (2022)Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge., , , , , , , , , и 23 other автор(ы). CoRR, (2021)