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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.

168,742 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

ProAGAN stabilizes GANs for learning SOMs from noisy medical imaging data.

problem Learning stochastic object models from noisy and indirect medical imaging measurements.

method Developed Progressive Growing of AmbientGANs (ProAGAN) to stabilize GANs training.

result Signal detection performance improved using ProAGAN-generated images.

AmbientGAN ProAGAN GANs Stochastic Object Models Medical Imaging

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 ↗