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Statistical cerebrovascular segmentation in three-dimensional rotational angiography based on maximum intensity projections.

, , , and . CARS, volume 1268 of International Congress Series, page 195-200. Elsevier, (2004)

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A novel learning-based dissimilarity metric for rigid and non-rigid medical image registration by using Bhattacharyya Distances., and . Pattern Recognit., (2017)Statistical cerebrovascular segmentation in three-dimensional rotational angiography based on maximum intensity projections., , , and . CARS, volume 1268 of International Congress Series, page 195-200. Elsevier, (2004)Multi-dimensional Mutual Information Based Robust Image Registration Using Maximum Distance-Gradient-Magnitude., and . IPMI, volume 3565 of Lecture Notes in Computer Science, page 210-221. Springer, (2005)Unsupervised Domain Adaptation for Medical Image Segmentation Using Transformer With Meta Attention., and . IEEE Trans. Medical Imaging, 43 (2): 820-831 (February 2024)3D Randomized Connection Network with Graph-based Label Inference., , , and . CoRR, (2017)A Segmentation Model Using Compound Markov Random Fields Based on a Boundary Model., and . IEEE Trans. Image Processing, 16 (1): 241-252 (2007)Combining Microscopic and Macroscopic Information for Rotation and Histogram Equalization Invariant Texture Classification., , and . ACCV (1), volume 3851 of Lecture Notes in Computer Science, page 100-109. Springer, (2006)Face Recognition by Using Elongated Local Binary Patterns with Average Maximum Distance Gradient Magnitude., and . ACCV (2), volume 4844 of Lecture Notes in Computer Science, page 672-679. Springer, (2007)Disease prediction with edge-variational graph convolutional networks., and . Medical Image Anal., (2022)Image Segmentation Methods for Detecting Blood Vessels in Angiography.. ICARCV, page 1-6. IEEE, (2006)