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Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly.

, , , , and . IPMI, volume 6801 of Lecture Notes in Computer Science, page 1-12. Springer, (2011)

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Reproducibility of quantitative tractography methods applied to cerebral white matter., , , , , , , , , and 3 other author(s). NeuroImage, 36 (3): 630-644 (2007)Segmentation of Brain Images Using Adaptive Atlases with Application to Ventriculomegaly., , , , and . IPMI, volume 6801 of Lecture Notes in Computer Science, page 1-12. Springer, (2011)Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients., , , , , , , , and . Patch-MI@MICCAI, volume 10530 of Lecture Notes in Computer Science, page 20-28. Springer, (2017)Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling., , , , , and . Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840G. SPIE, (2016)Efficient multi-atlas registration using an intermediate template image., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101371F. SPIE, (2017)Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly., , , , , , , , and . ISBI, page 1-5. IEEE, (2023)Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780F. SPIE, (2018)Investigation of probability maps in deep-learning-based brain ventricle parcellation., , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks., , , , , , and . MLCN/DLF/iMIMIC@MICCAI, volume 11038 of Lecture Notes in Computer Science, page 79-86. Springer, (2018)Deformable model reconstruction of the subarachnoid space., , , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057431. SPIE, (2018)