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Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace.

, , , , , and . ISBI, page 197-200. IEEE, (2016)

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Intensity inhomogeneity correction of macular OCT using N3 and retinal flatspace., , , , , and . ISBI, page 197-200. IEEE, (2016)Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks., , , , , , and . CoRR, (2018)Fiber tractogrophy and tract segmentation in multiple sclerosis lesions., , , , and . ISBI, page 1488-1491. IEEE, (2011)Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization., , , , , , and . IPMI, volume 12729 of Lecture Notes in Computer Science, page 346-359. Springer, (2021)Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement., , , , , , , , , and 1 other author(s). SASHIMI@MICCAI, volume 13570 of Lecture Notes in Computer Science, page 55-65. Springer, (2022)A Disentangled Latent Space for Cross-Site MRI Harmonization., , , , , , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 720-729. Springer, (2020)Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation., , , , , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 43-54. Springer, (2017)Automated vs. conventional tractography in multiple sclerosis: Variability and correlation with disability., , , and . NeuroImage, 49 (4): 3047-3056 (2010)An adaptive grid for graph-based segmentation in retinal OCT., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903402. SPIE, (2014)Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs., , , , , , , , and . FIFI/OMIA@MICCAI, volume 10554 of Lecture Notes in Computer Science, page 202-209. Springer, (2017)