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Region-based classification of remote sensing images with the morphological tree of shapes.

, , , , , and . IGARSS, page 5087-5090. IEEE, (2016)

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Getting a morphological tree of shapes for multivariate images: Paths, traps, and pitfalls., and . ICIP, page 615-619. IEEE, (2014)Practical Genericity: Writing Image Processing Algorithms Both Reusable and Efficient., , , and . CIARP, volume 8827 of Lecture Notes in Computer Science, page 70-79. Springer, (2014)Left Atrial Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning., , , , , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 339-347. Springer, (2018)MToS: A Tree of Shapes for Multivariate Images., and . IEEE Trans. Image Processing, 24 (12): 5330-5342 (2015)The Tree of Shapes Turned into a Max-Tree: A Simple and Efficient Linear Algorithm., , and . ICIP, page 1488-1492. IEEE, (2018)Introducing Multivariate Connected Openings and Closings., and . ISMM, volume 11564 of Lecture Notes in Computer Science, page 215-227. Springer, (2019)A Comparative Review of Component Tree Computation Algorithms., and . IEEE Trans. Image Processing, 23 (9): 3885-3895 (2014)An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming., , and . RRPR, volume 11455 of Lecture Notes in Computer Science, page 121-137. Springer, (2018)Intervertebral Disc Segmentation Using Mathematical Morphology - A CNN-Free Approach., and . CSI@MICCAI, volume 11397 of Lecture Notes in Computer Science, page 105-118. Springer, (2018)A Comparison of Many Max-tree Computation Algorithms., and . ISMM, volume 7883 of Lecture Notes in Computer Science, page 73-85. Springer, (2013)