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Medical image super-resolution with non-local embedding sparse representation and improved IBP.

, , , , and . ICASSP, page 888-892. IEEE, (2016)

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Automated generation of conjectures on forbidden subgraph characterization., , , and . Discrete Applied Mathematics, (2014)Improving constrained pattern mining with first-fail-based heuristics., , , and . Data Min. Knowl. Discov., 23 (1): 63-90 (2011)Improving Frequent Subgraph Mining in the Presence of Symmetry., , , and . MLG, (2007)Local discriminative characterization of MRI for Alzheimer's disease., , and . ISBI, page 1-5. IEEE, (2016)Cost-Based Search Ordering for Rate-Constrained Motion Estimation Applied to HEVC., , and . TBC, 64 (4): 922-932 (2018)Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation., , and . Medical Image Analysis, (2019)Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images., , , , , , , , , and 9 other author(s). NeuroImage, (2018)Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation., , , , , and . CoRR, (2017)The Layered Architecture Recovery as a Quadratic Assignment Problem., , , , and . ECSA, volume 9278 of Lecture Notes in Computer Science, page 339-354. Springer, (2015)Stochastic 3D Motion Compensation of Coronary Arteries from Monoplane Angiograms., , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 651-658. Springer, (2012)