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A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging.

, , , , and . Medical Image Anal., (2024)

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Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies., , , , and . Medical Biol. Eng. Comput., 56 (9): 1699-1713 (2018)A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging., , , , and . Medical Image Anal., (2024)An iterative Bayesian approach for nearly automatic liver segmentation: algorithm and validation., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 3 (5): 439-446 (2008)Automatic lung tumor segmentation with leaks removal in follow-up CT studies., , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (9): 1505-1514 (2015)Automatic Lung Tumor Segmentation with Leaks Removal in Follow-up CT Studies., , , and . CLIP@MICCAI, volume 8680 of Lecture Notes in Computer Science, page 92-100. Springer, (2014)Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling., , , , , , , and . 3DPH, volume 5903 of Lecture Notes in Computer Science, page 1-12. Springer, (2009)A fully automatic end-to-end method for content-based image retrieval of CT scans with similar liver lesion annotations., , , , and . Int. J. Comput. Assist. Radiol. Surg., 13 (1): 165-174 (2018)Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation., , , , and . MICCAI (3), volume 6363 of Lecture Notes in Computer Science, page 73-80. Springer, (2010)Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-up., , , , and . Int. J. Comput. Assist. Radiol. Surg., 19 (2): 241-251 (February 2024)Automatic segmentation variability estimation with segmentation priors., , , and . Medical Image Anal., (2018)