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MRI segmentation using multifractal analysis and MRF models., and . VISAPP (Special Sessions), page 101-106. INSTICC - Institute for Systems and Technologies of Information, Control and Communication, (2007)Advanced approach for PET breast cancer segmentation based on FAMIS methodology., , , , , , , and . ATSIP, page 219-224. IEEE, (2014)Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm., , , , , , , and . Comput. Medical Imaging Graph., 38 (8): 753-763 (2014)On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series., , , and . Medical Image Anal., 5 (1): 55-67 (2001)Weakly Supervised PET Tumor Detection Using Class Response., , , , and . CoRR, (2020)Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling., , , , and . IEEE Trans. Med. Imaging, 19 (12): 1179-1187 (2000)Brain tumor segmentation from multiple MRI sequences using multiple kernel learning., , , and . ICIP, page 1887-1891. IEEE, (2014)A review: Deep learning for medical image segmentation using multi-modality fusion., , and . CoRR, (2020)Medical Image Synthesis with Deep Convolutional Adversarial Networks., , , , , , , and . IEEE Trans. Biomed. Eng., 65 (12): 2720-2730 (2018)Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy., , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (10): 1715-1724 (2019)