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Dealing with uncertainty and imprecision in image segmentation using belief function theory.

, , , , and . Int. J. Approx. Reasoning, 55 (1): 376-387 (2014)

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Editorial., and . J. Discrete Algorithms, (2012)Suffix Array of Alignment: A Practical Index for Similar Data., , , , , , and . SPIRE, volume 8214 of Lecture Notes in Computer Science, page 243-254. Springer, (2013)Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing., , , , and . Belief Functions, volume 164 of Advances in Intelligent and Soft Computing, page 197-204. Springer, (2012)Querying Highly Similar Structured Sequences via Binary Encoding and Word Level Operations., , , and . AIAI (2), volume 382 of IFIP Advances in Information and Communication Technology, page 584-592. Springer, (2012)Algorithms for mapping short degenerate and weighted sequences to a reference genome., , , and . I. J. Computational Biology and Drug Design, 2 (4): 385-397 (2009)Editorial., and . J. Discrete Algorithms, (2015)Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy., , , , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 545-552. Springer, (2012)A Parallel Algorithm for the Fixed-length Approximate String Matching Problem for High Throughput Sequencing Technologies., , and . PARCO, volume 19 of Advances in Parallel Computing, page 150-157. IOS Press, (2009)Sequences Obtained from a Series of Permutations of Borders and Ultimately Periodic Words., and . Journal of Automata, Languages and Combinatorics, 4 (3): 205-211 (1999)A data-supported history of bioinformatics tools., , , , , , and . CoRR, (2018)