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Fostering metamodels and grammars within a dedicated environment for HPC: the NabLab environment (tool demo).

, , and . SLE, page 200-204. ACM, (2018)

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Fusion of multi-tracer PET images for dose painting., , , , and . Medical Image Analysis, 18 (7): 1247-1259 (2014)Fostering metamodels and grammars within a dedicated environment for HPC: the NabLab environment (tool demo)., , and . SLE, page 200-204. ACM, (2018)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)Deconvolution regularized using fuzzy c-means algorithm for biomedical image deblurring and segmentation., and . ISBI, page 1457-1461. IEEE, (2015)Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis., , , , , , and . ICIC (1), volume 5754 of Lecture Notes in Computer Science, page 994-1003. Springer, (2009)Applying model-driven engineering to high-performance computing: Experience report, lessons learned, and remaining challenges., , and . J. Comput. Lang., (2019)Fusion d'informations et segmentation d'images basées sur la théorie des fonctions de croyance : Application à l'imagerie médicale TEP multi-traceurs. (Information fusion and image segmentation based on belief function theory: Application to multi-tracer PET medical imaging).. University of Rouen, France, (2013)Dealing with uncertainty and imprecision in image segmentation using belief function theory., , , , and . Int. J. Approx. Reasoning, 55 (1): 376-387 (2014)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)