Titlebook: Information Processing in Medical Imaging; 26th International C Albert C. S. Chung,James C. Gee,Siqi Bao Conference proceedings 2019 Spring

conscience

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ers — those who literally stand between cultures and places — can therefore be seen either as agents of or as antagonists to the technologies of imperialism. Sometimes they assist and sometimes they confound the commercial aspirations of colonizing states. They can belong to what Paul Gilroy, follow

limber

Semi-supervised and Task-Driven Data Augmentationvel task-driven data augmentation method where to synthesize new training examples, a generative network explicitly models and applies deformation fields and additive intensity masks on existing labelled data, modeling shape and intensity variations, respectively. Crucially, the generative model is

凶猛

Analyzing Brain Morphology on the Bag-of-Features Manifold standard hard set equivalence (HSE) in predicting the immediate family graph structure and genetic links such as racial origin and sex from MRI data, providing a useful tool for data-driven, high-throughput genome wide heritability analysis.

Ptosis

愤怒历史

Adaptive Graph Convolution Pooling for Brain Surface Analysisrecent advances in spectral graph alignment where the surface parameterization becomes common across multiple brain geometries. These novel adaptive intrinsic pooling layers enable the exploration of entirely new architectures of graph neural networks, which were previously constrained to one single

growth-factor

Landlocked

A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimagingthat the proposed wFM layer achieves a contraction mapping and hence the ManifoldNet need not have additional non-linear ReLU units used in standard CNNs to achieve a contraction mapping..Analogous to the equivariance of convolution in Euclidean space to translations, we prove that the wFM is equiva

thwart

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Limited Angle Tomography Reconstruction: Synthetic Reconstruction via Unsupervised Sinogram Adaptati sinogram-reconstruction pairs. Thus the requirement for real paired sinogram-reconstruction data can be alleviated if simulated sinograms (e.g. monochromatic) are able to train a reconstruction network for real sinograms (e.g. polychromatic source, scattering, beam hardening). In this paper, we pro