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Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images
Deep neural networks (DNNs) have been widely used for medical image analysis.
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
The earth texture with complex morphological geometry and compositions such as shale and carbonate rocks, is typically characterized with sparse field samples because of an expensive and time-consuming characterization process.
Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks
Stochastic network modeling is often limited by high computational costs to generate a large number of networks enough for meaningful statistical evaluation.
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