Search Results - "adversarial autoencoder network"
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Adversarial Autoencoder Network for Hyperspectral Unmixing
ISSN: 2162-237X, 2162-2388, 2162-2388Published: United States IEEE 01.08.2023Published in IEEE transaction on neural networks and learning systems (01.08.2023)“…Spectral unmixing (SU), which refers to extracting basic features (i.e., endmembers) at the subpixel level and calculating the corresponding proportion (i.e.,…”
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Spectral-spatial adversarial network for nonlinear hyperspectral unmixing of imbalanced datasets
ISSN: 1569-8432Published: Elsevier 01.09.2023Published in International journal of applied earth observation and geoinformation (01.09.2023)“…With its successful application in various fields, hyperspectral unmixing (HU) technology has received extensive attention in remote sensing processing…”
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Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability
ISSN: 1874-8961, 1874-8953Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024Published in Mathematical geosciences (01.08.2024)“…Effective geochemical anomaly identification is crucial in mineral exploration. Recent trends have favored deep learning (DL) to decipher geochemical survey…”
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Limited-View Cone-Beam CT Reconstruction Based on an Adversarial Autoencoder Network With Joint Loss
ISSN: 2169-3536, 2169-3536Published: Piscataway IEEE 2019Published in IEEE access (2019)“…Limiting scan views is an efficient way to reduce radiation doses in the cone-beam computed tomography (CBCT) examinations, which unfortunately degrades the…”
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Unsupervised Facial Image Synthesis Using Two-Discriminator Adversarial Autoencoder Network
ISSN: 1945-788XPublished: IEEE 01.07.2019Published in Proceedings (IEEE International Conference on Multimedia and Expo) (01.07.2019)“…Recent years have witnessed the unprecedented success in single image synthesis by the means of convolutional neural networks (CNNs). High-level synthesis of…”
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Conference Proceeding -
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Applying deep generative model in plan review of intensity modulated radiotherapy
ISSN: 0094-2405, 2473-4209, 2473-4209Published: United States 01.06.2025Published in Medical physics (Lancaster) (01.06.2025)“…Background Plan review is critical for safely delivering radiation dose to a patient under radiotherapy and mainly performed by medical physicist in routine…”
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