Keyword: Wasserstein Loss : Search

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Article
July 2024
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research
Artificial Intelligence in MedicinePages 60–69https://doi.org/10.1007/978-3-031-66535-6_7
Abstract
Magnetic Resonance Imaging (MRI) has revolutionized medical diagnostics by providing a multifaceted view of the human body’s intricate structures and pathologies. With its different sequences, MRI offers comprehensive information about the ...
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Article
May 2024
Wasserstein Adversarial Variational Autoencoder for Sequential Recommendation
Web and Big DataPages 375–389https://doi.org/10.1007/978-981-97-2421-5_25
Abstract
Variational autoencoders (VAEs) have shown unique advantages as a generative model for sequence recommendation. The core of VAEs is the reconstruction of error targets through similarity metrics to provide a supervised signal for training. However,...
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research-article
December 2021
DerainGAN: Single image deraining using wasserstein GAN
Multimedia Tools and Applications (MTAA), Volume 80, Issue 30Pages 36491–36507https://doi.org/10.1007/s11042-021-11442-6
Abstract
Rainy weather greatly affects the visibility of salient objects and scenes in the captured images and videos. The object/scene visibility varies with the type of raindrops, i.e. adherent rain droplets, streaks, rain, mist, etc. Moreover, they pose ...
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