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Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis.

, , , , , и . SASHIMI@MICCAI, том 12417 из Lecture Notes in Computer Science, стр. 1-10. Springer, (2020)

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Template method to improve brain segmentation from inhomogeneous brain magnetic resonance images at high fields., , , , , и . ISBI, стр. 73-76. IEEE, (2010)Automatic falx cerebri and tentorium cerebelli segmentation from magnetic resonance images., , , , и . Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10137 из SPIE Proceedings, стр. 101371D. SPIE, (2017)Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury., , , , и . Image Processing, том 9413 из SPIE Proceedings, стр. 94130I. SPIE, (2015)Heterogeneity of MR Signal Intensity Mapped onto Brain Surface Models., и . AIPR, стр. 119-124. IEEE Computer Society, (2003)A deep learning framework for brain extraction in humans and animals with traumatic brain injury., , , , , , и . ISBI, стр. 687-691. IEEE, (2018)TBI contusion segmentation from MRI using convolutional neural networks., , , и . ISBI, стр. 158-162. IEEE, (2018)Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks., , и . SASHIMI@MICCAI, том 10557 из Lecture Notes in Computer Science, стр. 24-32. Springer, (2017)Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging., , , , , , , и . Biomedical Applications in Molecular, Structural, and Functional Imaging, том 9788 из SPIE Proceedings, стр. 97882P. SPIE, (2016)Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI., , , , и . Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10953 из SPIE Proceedings, стр. 1095325. SPIE, (2019)Single-trial fMRI Shows Contralesional Activity Linked to Overt Naming Errors in Chronic Aphasic Patients., , , , , , , и . J. Cogn. Neurosci., 22 (6): 1299-1318 (2010)