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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “AmbientGAN”

Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networkseess.IV

Generative model learns object variability from MRI measurements.

problem Establishing stochastic object models from medical imaging data.

method Advanced AmbientGANs with multiresolution training.

result AmbientGANs reliably learn object distributions from incomplete or noisy data.

Generative adversarial networks Stochastic object models Medical imaging AmbientGANs MRI

2021-06-27abs ↗pdf ↗

Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurementseess.IV

The objective optimization of medical imaging systems requires full characterization of all sources of randomness in the measured data, which includes the variability within the ensemble of objects to-be-imaged. This can be accomplished by establishing a stochastic object model (SOM) that describes the variability in t…

2020-01-26abs ↗pdf ↗

Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANseess.IV

Develops a new method to create object models from medical images.

problem Variability in anatomical structures and textures limits observer performance.

method Progressive Growing AmbientGAN (ProAmGAN) for creating stochastic object models from medical imaging measurements.

result Demonstrates the effectiveness of ProAmGAN in creating realistic object models.

AmbientGAN GANs Medical Imaging Stochastic Object Models Progressive Growing

2020-05-29abs ↗pdf ↗